Some approaches have been proposed to introduce new technologies in the domain . Recently there have been proposals to have a thin client approach to network management . Other suggestions have been to use mobile code for delegation . The Internet Network Management Workshop is working to build a community of researchers interested in solving the challenges of network management via a combination of bottoms-up analysis of data from existing networks and a top-down design of new architectures and approaches driven by that data . This editorial sets out some of the research challenges we see facing network management , and calls for participation in working to solve them . While the current world wide network offers an incredibly rich base of information , it causes network management problem because users should have many independent IDs and passwords for accessing different sewers located in many places . In order to solve this problem users have employed single circle of trust(COT ) ID management system , but it is still not sufficient for clearing the problem because the coming ubiquitous network computing environment will be integrated and complex networks combined with wired and wireless network devices . As a new approach slow intelligence system is proposed to manage the network problem . The architecture and special feature of SIS is to improve the result and get the feasible solution for the network management problem through a process involving such as enumeration , propagation , adaptation , elimination and concentration . Steps of initial experimental result are also focused . However , to be usable at this scale , mobile ad hoc networks need to be monitored if not totally at least partially . Monitoring is a network management function that can be achieved inside the network without any external intervention . The purpose of monitoring in such networks is to collect information such as the functional states of the participating nodes and the operational states of the available routes and to report this information to all participating nodes or to some of them according to the network application . An example of how the services of the common management information service element ( CMISE ) might be applied to the network management function of configuring plain old telephone service ( POTS ) subscriber lines is provided . An information mode using object-oriented techniques is first developed and then services using CMISE are defined which support the functional requirements of configuration management . The system consists of three main parts : network management station(NMS),mobile agent(MA),and network node . Through the simulation , we can find that the system model can make full use of the existing resources to complete the network management function . Its destination is to resolve problems existed in the constructs and applications of formal libraries , and make spectral library play an important role in the process of spatial information industrialization . The combination of data and models and network sharing is its main character , which poses a great demand to the network based management and operation . This paper discusses the design philosophy , global structure and operation sheet of remote sensing library in the terrain feature knowledge library , and parses some key technologies involved in the realization process . The output end of the ambient light detector and the output end of the people stream and traffic stream detector are connected with the CC2530 controller , the input end of the street lamp brightness regulator and the input end of the street lamp switch are connected with the CC2530 controller , the output end of the street lamp brightness regulator and the output end of the street lamp switch are connected with the street lamp , and the CC2530 controller is connected with the ZigBee routing node . The ZigBee technology is utilized for realizing real-time monitoring and network-based management of a street lamp control system and informatization and intelligent management of an illumination system , and the intelligent street lamp monitoring system has good development prospects . It is well-known that NT is a secure and convenient Network Operating System . Connecting NT Server with Windows 9x Point-to-Point LAN , it will make the usage of software and network system management convenient . We deployed wireless sensor networks in Bul-guk-sa Temple , which is one of the most important UNESCO cultural property sites in Korea . This paper presents our wireless sensor network system for monitoring and protecting cultural property from the aspect of application design to network system management . This article describes the effort to join two different approaches for the development of the proactive network management . The first approach was developed in the Laboratory of Network and Management , at Federal University of Santa Catarina , which uses remote monitoring and simulation tools . The second one , was developed in the National Supercomputing Center , which handles the problem with artificial intelligence and SunNet Manager 's agents usage . The model parameters of GM(1,1 , \delta_{i } ) are studied and determined , combined with the effects of the maintenance and rehabilitation alternatives . Finally , application to the network level management in P.R.China is presented . Today a new aspect gains more and more attention in the area of network management - management from anywhere , at anytime , regardless of underlying access technologies and user interfaces . Instead of managing and monitoring crucial components with proprietary management consoles and monolithic platforms , future network operators will rather be able to manage their network from wherever web access is available and with whatever client system is at hand . Development of Data Process Network Nightmares Communication Quo Vadis ? The Structure of the Book Network Management Systematic Introduction to the Problem The Classical Areas of Responsibility of Network Management Network Management : Delimitation and Formation of Concepts Digression : Distributed Systems Summary of Network and System Management Requirements Summary Network Management in the IBM Area : SNA-NMA , NetView and System View Introduction This article discusses traffic engineering with multiprotocol label switching ( MPLS ) in an Internet service provider 's network . We first review MPLS , constraint-based routing , and enhanced link state interior gateway protocols to provide a background for traffic engineering . We then discuss the general issues of designing an MPLS system for traffic engineering . Given a set of demands between pairs of nodes , we examine the traffic engineering problem of maximal flow routing and fair bandwidth allocation where flows can be split to multiple paths ( e.g. , MPLS tunnels ) . In the past we presented a polynomial solution for this problem but its complexity makes it hard to implement for large problem sizes . The complete iconic representation of the set of qualitative states defines the Conceptual Neighborhood Graph of the QRPC model . In order to illustrate how this qualitative representation can be used to analyze and describe the relative motion of two objects , some examples extracted from the traffic engineering field have been studied . The only generalization with respect to standard IP is that routers split their traffic , for each destination , among their outgoing links . We pose two optimization problems , that generalize and combine those used in the congestion control and traffic engineering literature . In contrast to other work in multipath congestion control , we use variables that are available at each node ( source or router ) . GMPLS must be able to inherently have the ability to perform network recovery efficiently , to ensure reliability . It also needs to address the traffic engineering requirement using QoS. INVESTIGATION The following describes search tools and methodology . • Literature searches over the topic “ Optical Networks ” using Internet databases . Contrasting optimization techniques are given for services , such as best effort , for which no restriction on routes are imposed . Another important traffic engineering requirement addressed is priorities , for which an efficient and accurate design technique is given . There is a growing body of traffic engineering research indicating that fluorescent-retroreflective signing can promote safer driver behavior on the road . However , missing from these studies are quantitative evaluations of the field performance of fluorescent-retroreflective materials on the roadway . In this paper , realistic simulation of mobility for urban wireless networks is addressed . In contrast to most other mobility modeling efforts , most of the aspects of the presented mobility model and model parameters are derived from surveys from urban planning and traffic engineering research . The mobility model discussed here is part of the UDel Models , a suite of tools for realistic simulation of urban wireless networks . We study the performances of the procedure in terms of end-to-end delay . An analytical model is presented , which allows to address various traffic engineering aspects for realistic loss probability figures , and especially the influence of the Poll period . Diaphragm wall used with top-down construction has been proved as the best solution and the use of TBM is required . In traffic engineering perspectives , all existing transportation modes are considered in the determination of MRT station locations as well as the challenge of substructures construction in the soft soil area . Considering public safety during construction , it has been designed with combined elevated railways at the south corridor and subway in the northern corridor . To achieve better resource utilization without upgrading OSPF network to MPLS is a challenge . In this paper we present a simple but effective algorithm , called Smart OSPF ( S-OSPF ) to provide traffic engineering solution in an OSPF based best effort network . We formulate an optimization problem based on the traffic demand to minimize the maximum link utilization in the network . With the continuous urban scale expansion , traffic networks have become extremely complex . Finding an optimal route in the shortest time has become a difficult and important issue in traffic engineering study . In this study , a novel computing model , namely , probe machine , is used to solve this problem . The statistic information based on traffic flow directly reflects the network user 's behavior . The acquirement and analysis of traffic flow TopTalker are guide for traffic analysis and troubleshooting . This paper analyses the effect of arriving packets to the hash table , use a record array to sort the traffic flow , which greatly reduce the comparing times and improve the monitor system performance . Furthermore , due to complex dependencies between system components in a virtualized data center , a single cause of anomaly can typically trigger multiple alarms . Therefore there is also a need to efficiently analyze and identify the causes of the anomalies in a scalable and effective manner , in order to reduce the overhead of diagnosis and troubleshooting performed by the cloud operator . Motivated by these observations , we present a mechanism for automatic anomaly detection and root cause analysis in virtualized cloud data centers . This information is conveyed through one of the storage media is information on the Internet homepage or website . E-learning website troubleshooting computer hardware is one of thousands of homepages that are in the internet world . This website is useful for computer users to find information on problems and solutions needed . The information should agree with the users decision pattern and needs to be available in a quicker and more accurate way . In order to meet the linear programming , its application in optimization troubleshooting and what it actually represents , this work was structured , in the beginning , with a review of concepts in , cost problems after that , an approach about the bases of linear programming and its use . The last part shows a cost problem in which linear programming was used in order to get an optimum combination of resources , focused on the best potential result . Traffic monitoring is a critical network operation for the purpose of traffic accounting , debugging or troubleshooting , forensics , and traffic engineering . Existing techniques for traffic monitoring , however , tend to be suboptimal due to poor choice of monitor location or constantly evolving monitoring objectives and traffic characteristics . There can also be additional constraints , such as rules governing the movement of data from one classification to another . The problem addressed herein is the ability to quickly sanitize customer device data and provide it to the customer approval process for publishing to the vendor for use in troubleshooting / analytics . This is a critical gap in the servicing of devices located in highly restrictive or sensitive environments . Today ’s network operators strive to create self-healing cellular networks that have a fully automated troubleshooting management process . To this end , the network monitoring system should be capable of detecting issues , diagnosing them , and triggering the adequate recovery action . Therefore , the FMSs have to be endowed with tools and techniques allowing an automatic recovery of errors . The objective of this work consists in proposing an off-line version of the software framework for error troubleshooting in a flexible manufacturing system ( 1 ) . The main difference between the on-line and off-line version is that the error database is stored on the mobile device and the frame marker device is connected directly to the FMS components without the need of the PC . ) . During the two-plus years the University of Minnesota has been live on Alma and Primo Central , we have developed a number of workflows , strategies , and tools for troubleshooting access problems in this discovery environment . We will cover common types of access problems , useful tools for diagnosing problem causes , and how to train staff to resolve complex access issue Requirements for diagnostic-data acquisition and processing include rapid turnaround , effective interfacing with the alignment and power-conditioning controls , preservation of data under failure conditions , options for local or control-room modes of operation , and portability of the hardware required for off-line troubleshooting and calibration . The major elements of a digital system which meets these requirements are shown . 5 . Troubleshooting Logic Gate Circuits . 6 . Delivering QoS guarantees requires an efficient fault management that is specifically tailored to the QoS handling . A model and an algorithm for fault isolation and event correlation in QoS-enabled distributed systems is presented . The model and the algorithm reflect the fact that the notion of a fault in QoS-enabled systems is different from the conventional fault model . In this paper we introduce an efficient clustering algorithm embedded in a novel approach for solving the problem of faults identification in large telecommunication networks . Our algorithm is especially designed for the event correlation problem taking into account comprehensive information about the system behaviour . Although alarms are usually useful for identifying faults in such systems , their large number overloads the current management systems , making it extremely difficult to provide an answer within a reasonable response time . Unfortunately , since business processes supported by traditional information systems are implicitly defined , correlating events into the appropriate process instance is not trivial . This challenge is known as the event correlation problem . This paper presents an adaptation of an existing event correlation algorithm and incorporates it into a technique in order to collect event logs from the execution of traditional information systems . The scheduling process described by these algorithms does n't control the resources directly so it is more natural to consider it closer to Grid applications . The algorithms are responsible for the management of tasks in workflow , such as managing the tasks for parallel execution , managing of data and correlation of events . To fulfill their functions , the scheduling algorithms need information coming from monitoring services available in the execution platform . In one example , the over-detection is identified , for correcting the over-detection , to reduce the effects of over-detection , or to ignore the over-detection data , the data is modified . Some examples emphasize the use of morphology analysis and / or event correlation analysis using a correlation to a static template . In this case , we need a platform or system to solve this problem The security operations center can collect and manage these security events and analyzes the related information , can reduce the false positives and false negatives , and improve security of network system . In this paper , we do some research on the event correlation analysis , introduce the processes of the analysis and the method of rule extraction , and then introduce the system architecture of security operations center . In this paper , a mOSAIC-based framework for providing distributed intrusion detection in Cloud Computing is proposed . It is an architectural framework that collects information at different Cloud architectural levels , using multiple distributed security components , which can be used to perform complex event correlation analysis to identify intrusions in the Cloud system that involve Service Level Agreement violations . In the mean rate case the network amplifies the activity of neurons belonging to the selected stimulus and suppresses the activity of neurons receiving weaker stimuli . In the event correlation case , the recurrent network amplifies with a higher gain the correlation between neurons which receive highly correlated inputs while leaving the mean firing rate unaltered . We describe the network architecture and present experimental data demonstrating its context dependent computation capabilities . The detection phase can in turn trigger the subsequent remediation actions . Communication between the OCS and Kerberos is based on an asynchronous paradigm , whereas event correlation and analysis are effectively realized through a Complex Event Processing approach . The paper will shed light on both the design and the implementation of the system , whose performance is then evaluated by relying on a real-world dataset of Call Detail Record ( CDR ) events provided by Tiscali , a well known Italian Operator . A modified Fault Tolerant Average Algorithm ( FTAA ) is then applied against the results of the various NIVAs so as to determine a Master Clock Group ( MCG ) . Variants of sync integrity protection mechanisms ( SIPMs ) were utilized prior to the final confirmation of the Grand Master Clock ( GMC ) election and prior to any time information being utilized and/or syndicated for data synchronization and/or event correlation purposes . Furthermore , this article introduces the use of Radix Trees , also known as Patricia Tries , to determine if a particular application-based event is associated to a network root cause problem . Usage of Patricia Tries for quick IP lookup is nothing new and is commonly used by network router applications , but this paper proposes to use the same method for event cross-correlation purposes , a problem that also depends on quick network topology lookup capabilities to succeed . Finally , a summary of initial results is presented , and future steps for the continuation of the research are proposed . The paper analyses the main problems which now network monitor is confronted with , brings forward JMX(Java Management eXtensions ) scheme . Then it describes JMX technology and uses it to realize assignment and management of network monitor task in IP network management . To detect load anomalies , we show it is sufficient to consider cumulative traffic over relatively long intervals such as 5 minutes . This approach substantially extends the current practice in IP network management where only the first order statistics and fixed thresholds are used to identify abnormal behavior . The experiment shows that the features finally selected in the algorithm can reach the precision of > 96 % on C4.5 classifier . Introduction Traffic identification classification is the basis of IP network management and network security monitoring . High-efficient recognition of traffic can assist many ISP ( Internet Service Provider ) and network administrators to deeply understand traffic composition , thereby controlling the traffic . Device and file system management topics cover udev , the Hardware Abstraction Layer ( HAL ) , LVM , RAID , and backups . Networking topics include network connections , IP network administration , service management , the Domain Name System , DHCP , and network servers . Servers examined include Web , FTP , Postfix , CUPS , NFS , and Samba . IP networks are increasingly carrying mission-critical applications with robust end-to-end network performance and reliability requirements . Network performance monitoring forms an essential component of critical IP network management functions such as troubleshooting , anomaly detection , and Service-Level-Agreement ( SLA ) compliance monitoring . However , privacy and security considerations are fueling the use of IP-level encryption techniques such as IPsec , which obscure important transport layer features that existing performance measurement techniques need . In this paper , we propose a new method for TM estimation which makes more accurate assumptions about the traffic characteristics of the flows between node pairs and , specifically , a Markovian Arrival Process of order two ( MAP-2 ) has been applied for this purpose . The presented evaluation study shows the ability of the method to accurately capture the correlation and burstiness statistics of real IP flows and , therefore , can be successfully applied in IP network management functions . XML technologies have been recently extensively used in IP based network management , where they have been proven capable of alleviating the SNMP shortcomings in configuration management . Our XMLNET system described in [ 1 ] has demonstrated that XML systems can greatly facilitate the development of network management applications even in complex heterogeneous multi-vendor networks . The introduction of service level differentiation in IP networks requires adequate support for defining and administrating network resource usage with regard to QoS , routing and accounting . This paper proposes the abstract switch toolkit ( AST ) , a component-based flexible and scalable framework for defining and administrating IP network control and management . AST is designed for wire-speed switching routers supporting flow detection . Accounting Management is probably the least developed IP network management application . Now it is paid more attention than before . Summary form only given . This tutorial presents a view of the IP network management problem from the perspective of the network itself . It focuses on how to address enhanced manageability requirements in the network infrastructure . The article solves the problem of assessing security risks in information systems using the methods of the theory of fuzzy sets . The urgency of solving this problem is determined by the complexity of applying a number of existing methods , the possible inaccuracy of quantitative assessments of risk factors , and the possible inadequacy , uncertainty and quality of the initial information . Before the GII and electronic commerce obtain widespread use and general acceptance , confidence is required that the security techniques being employed are sufficient to guarantee the effective protection of the information transmitted processed and stored . The authors look at the GII security requirements , the needs for security standardization , the work underway and the tasks ahead . The work of IEEE 802.10 , the LAN Security Working Group , in developing the Standard for Interoperable LAN Security ( SILS ) is described . The areas for security standardization are : a protocol for the secure exchange of data at the data link layer , the management of cryptographic keys at the application layer , and the specification of the network management objects associated with the secure data exchange protocol and the key management protocol . As of July 1989 , IEEE 802.10 has produced the fifth draft of SILS . In order to effectively improve the office automation efficiency and enhance security of business data in enterprise routine , the Excel Services is adopted to implement a lightweight reporting system . Aiming at the use of Excel report characteristic , the server-side Excel reporting system is designed and implemented based on the SharePoint platform on the premise of combing the existing Excel applies business logic . The system comprises a sub application system which is used for satisfying business requirements so as to allow users to execute business operations ; a structured data memory module used for storing structured data in a business operational process , and a non-structured data memory module used for storing non-structured data in the business operational process , wherein the non-structured data stored in the non-structured data memory module is encrypted enciphered data based on a memory medium layer . By adoption of the special memory system for business data with the structure , the security of business data of information systems is enhanced ; and by adoption of the encryption algorithm implemented by hardware in the memory medium , the read-write efficiency of the data is improved , and business data leakage caused by physical crack of hard disks is prevented . The results clearly showed the extent of negotiations that take place and the type of passenger most associated with delays in the â€œidealâ€ throughput scenario . Calculating direct costs of manpower associated with security screening of passengers and the different throughput times led to the conclusion that even though the â€œgood passengersâ€ , those who pass through the security process in the minimum time , are the bulk of passenger throughput , â€œproblematicâ€ passengers who negotiate make up the bulk of the costs . These findings highlight the dilemma faced by security managers but also provide a window of opportunity to seek appropriate solutions . Inspection equipment ( e.g. , X-ray machines ) is bulky and expensive . Moreover , screening reliability still rests on human performance , and the throughput in security screening of passengers and luggages is very limited . To this end , we propose to develop a low-cost and practical hidden e-device recognition technique to enable efficient screenings for threats of hidden electronic devices in daily life . The enforcement of the General Data Protection Regulation imposes specific privacy- and -security related requirements that any organisation that processes European Union citizens ’ personal data must comply with . The application of privacy- and security-by-design principles are assisting organisation in achieving compliance with the Regulation . Moreover , this provided support to detect solution for demerits faced within the given approached and provided the latest solution or techniques to protect the cloud . Cite this Article Mohini Gour , Abhigyan Tiwari , Amit Shrivastava et al. Hadoop Based Cloud Data Security on Cloud Using Encryption Algorithm . Journal of Computer Technology & Applications . These papers from Oracle database systems own security mechanism and network environment to analysis and research Oracle database security problems . To the database internal security problems , we can take measure in database systems and database data . Towards the network security problem , Oracle 's senior security mechanism intermediate technology could be a good choice . Breaches of electronic medical records constitute a type of healthcare error , but should be considered separately from other types of errors because the national focus on the security of electronic data justifies special treatment of medical information breaches . Guidelines for protecting electronic medical records should be applied equally to paper medical records . In a previous article for S&P magazine , we made a case for the new intellectual challenges in the Internet of Things security research . In this article , we revisit our earlier observations and discuss a few results from the computer security community that tackle new issues . For solving the database security problem that business enterprises concern , A system about database security and watch is designed and implemented based on WinPcap . Using WinPcap library , the system captures the data packets via the local MAC , and then perform protocol analyzing , decoding and filtering . Real-time variable bit rate ( VBR ) video traffic generated from multimedia applications , such as MPEG-coded video , is expected to be large portions of the traffic in future wired/wireless networks . The nature of VBR traffic and its quality of service ( QoS ) constraints increase a number of challenges on network resource managements and operational utilizations . Thus , accurate traffic prediction based dynamic resource allocation and scheduling can significantly improve network performance substantially while satisfying QoS requirements . Packet capturing is a fundamental technique in the networks management activities , such as network monitoring , the analysis of traffic , and etc .. Begins at the differences between Wireless Local Area Networks ( WLAN ) and Wired Local Area Networks , and then researches the principles of capturing packets in WLAN.Finally , two different methods of capturing packets using wireless network cards are provided . Localization in wireless sensor networks ( WSNs ) is an essential service , important as both a goal and a mean . It is a goal for WSNs in order to label reported data and a mean for most WSNs to implement networks management services . In distributed localization , there could be a small number of nodes , which have a priori knowledge about their position , called reference nodes and most of the other nodes which do not know their location .
Some approaches have been proposed to introduce new technologies in the domain . Recently there have been proposals to have a thin client approach to network management . Other suggestions have been to use mobile code for delegation .
The Internet Network Management Workshop is working to build a community of researchers interested in solving the challenges of network management via a combination of bottoms-up analysis of data from existing networks and a top-down design of new architectures and approaches driven by that data . This editorial sets out some of the research challenges we see facing network management , and calls for participation in working to solve them .
While the current world wide network offers an incredibly rich base of information , it causes network management problem because users should have many independent IDs and passwords for accessing different sewers located in many places . In order to solve this problem users have employed single circle of trust(COT ) ID management system , but it is still not sufficient for clearing the problem because the coming ubiquitous network computing environment will be integrated and complex networks combined with wired and wireless network devices .
As a new approach slow intelligence system is proposed to manage the network problem . The architecture and special feature of SIS is to improve the result and get the feasible solution for the network management problem through a process involving such as enumeration , propagation , adaptation , elimination and concentration . Steps of initial experimental result are also focused .
However , to be usable at this scale , mobile ad hoc networks need to be monitored if not totally at least partially . Monitoring is a network management function that can be achieved inside the network without any external intervention . The purpose of monitoring in such networks is to collect information such as the functional states of the participating nodes and the operational states of the available routes and to report this information to all participating nodes or to some of them according to the network application .
An example of how the services of the common management information service element ( CMISE ) might be applied to the network management function of configuring plain old telephone service ( POTS ) subscriber lines is provided . An information mode using object-oriented techniques is first developed and then services using CMISE are defined which support the functional requirements of configuration management .
The system consists of three main parts : network management station(NMS),mobile agent(MA),and network node . Through the simulation , we can find that the system model can make full use of the existing resources to complete the network management function .
Its destination is to resolve problems existed in the constructs and applications of formal libraries , and make spectral library play an important role in the process of spatial information industrialization . The combination of data and models and network sharing is its main character , which poses a great demand to the network based management and operation . This paper discusses the design philosophy , global structure and operation sheet of remote sensing library in the terrain feature knowledge library , and parses some key technologies involved in the realization process .
The output end of the ambient light detector and the output end of the people stream and traffic stream detector are connected with the CC2530 controller , the input end of the street lamp brightness regulator and the input end of the street lamp switch are connected with the CC2530 controller , the output end of the street lamp brightness regulator and the output end of the street lamp switch are connected with the street lamp , and the CC2530 controller is connected with the ZigBee routing node . The ZigBee technology is utilized for realizing real-time monitoring and network-based management of a street lamp control system and informatization and intelligent management of an illumination system , and the intelligent street lamp monitoring system has good development prospects .
It is well-known that NT is a secure and convenient Network Operating System . Connecting NT Server with Windows 9x Point-to-Point LAN , it will make the usage of software and network system management convenient .
We deployed wireless sensor networks in Bul-guk-sa Temple , which is one of the most important UNESCO cultural property sites in Korea . This paper presents our wireless sensor network system for monitoring and protecting cultural property from the aspect of application design to network system management .
This article describes the effort to join two different approaches for the development of the proactive network management . The first approach was developed in the Laboratory of Network and Management , at Federal University of Santa Catarina , which uses remote monitoring and simulation tools . The second one , was developed in the National Supercomputing Center , which handles the problem with artificial intelligence and SunNet Manager 's agents usage .
The model parameters of GM(1,1 , \delta_{i } ) are studied and determined , combined with the effects of the maintenance and rehabilitation alternatives . Finally , application to the network level management in P.R.China is presented .
Today a new aspect gains more and more attention in the area of network management - management from anywhere , at anytime , regardless of underlying access technologies and user interfaces . Instead of managing and monitoring crucial components with proprietary management consoles and monolithic platforms , future network operators will rather be able to manage their network from wherever web access is available and with whatever client system is at hand .
Development of Data Process Network Nightmares Communication Quo Vadis ? The Structure of the Book Network Management Systematic Introduction to the Problem The Classical Areas of Responsibility of Network Management Network Management : Delimitation and Formation of Concepts Digression : Distributed Systems Summary of Network and System Management Requirements Summary Network Management in the IBM Area : SNA-NMA , NetView and System View Introduction
This article discusses traffic engineering with multiprotocol label switching ( MPLS ) in an Internet service provider 's network . We first review MPLS , constraint-based routing , and enhanced link state interior gateway protocols to provide a background for traffic engineering . We then discuss the general issues of designing an MPLS system for traffic engineering .
Given a set of demands between pairs of nodes , we examine the traffic engineering problem of maximal flow routing and fair bandwidth allocation where flows can be split to multiple paths ( e.g. , MPLS tunnels ) . In the past we presented a polynomial solution for this problem but its complexity makes it hard to implement for large problem sizes .
The complete iconic representation of the set of qualitative states defines the Conceptual Neighborhood Graph of the QRPC model . In order to illustrate how this qualitative representation can be used to analyze and describe the relative motion of two objects , some examples extracted from the traffic engineering field have been studied .
The only generalization with respect to standard IP is that routers split their traffic , for each destination , among their outgoing links . We pose two optimization problems , that generalize and combine those used in the congestion control and traffic engineering literature . In contrast to other work in multipath congestion control , we use variables that are available at each node ( source or router ) .
GMPLS must be able to inherently have the ability to perform network recovery efficiently , to ensure reliability . It also needs to address the traffic engineering requirement using QoS. INVESTIGATION The following describes search tools and methodology . • Literature searches over the topic “ Optical Networks ” using Internet databases .
Contrasting optimization techniques are given for services , such as best effort , for which no restriction on routes are imposed . Another important traffic engineering requirement addressed is priorities , for which an efficient and accurate design technique is given .
There is a growing body of traffic engineering research indicating that fluorescent-retroreflective signing can promote safer driver behavior on the road . However , missing from these studies are quantitative evaluations of the field performance of fluorescent-retroreflective materials on the roadway .
In this paper , realistic simulation of mobility for urban wireless networks is addressed . In contrast to most other mobility modeling efforts , most of the aspects of the presented mobility model and model parameters are derived from surveys from urban planning and traffic engineering research . The mobility model discussed here is part of the UDel Models , a suite of tools for realistic simulation of urban wireless networks .
We study the performances of the procedure in terms of end-to-end delay . An analytical model is presented , which allows to address various traffic engineering aspects for realistic loss probability figures , and especially the influence of the Poll period .
Diaphragm wall used with top-down construction has been proved as the best solution and the use of TBM is required . In traffic engineering perspectives , all existing transportation modes are considered in the determination of MRT station locations as well as the challenge of substructures construction in the soft soil area . Considering public safety during construction , it has been designed with combined elevated railways at the south corridor and subway in the northern corridor .
To achieve better resource utilization without upgrading OSPF network to MPLS is a challenge . In this paper we present a simple but effective algorithm , called Smart OSPF ( S-OSPF ) to provide traffic engineering solution in an OSPF based best effort network . We formulate an optimization problem based on the traffic demand to minimize the maximum link utilization in the network .
With the continuous urban scale expansion , traffic networks have become extremely complex . Finding an optimal route in the shortest time has become a difficult and important issue in traffic engineering study . In this study , a novel computing model , namely , probe machine , is used to solve this problem .
The statistic information based on traffic flow directly reflects the network user 's behavior . The acquirement and analysis of traffic flow TopTalker are guide for traffic analysis and troubleshooting . This paper analyses the effect of arriving packets to the hash table , use a record array to sort the traffic flow , which greatly reduce the comparing times and improve the monitor system performance .
Furthermore , due to complex dependencies between system components in a virtualized data center , a single cause of anomaly can typically trigger multiple alarms . Therefore there is also a need to efficiently analyze and identify the causes of the anomalies in a scalable and effective manner , in order to reduce the overhead of diagnosis and troubleshooting performed by the cloud operator . Motivated by these observations , we present a mechanism for automatic anomaly detection and root cause analysis in virtualized cloud data centers .
This information is conveyed through one of the storage media is information on the Internet homepage or website . E-learning website troubleshooting computer hardware is one of thousands of homepages that are in the internet world . This website is useful for computer users to find information on problems and solutions needed .
The information should agree with the users decision pattern and needs to be available in a quicker and more accurate way . In order to meet the linear programming , its application in optimization troubleshooting and what it actually represents , this work was structured , in the beginning , with a review of concepts in , cost problems after that , an approach about the bases of linear programming and its use . The last part shows a cost problem in which linear programming was used in order to get an optimum combination of resources , focused on the best potential result .
Traffic monitoring is a critical network operation for the purpose of traffic accounting , debugging or troubleshooting , forensics , and traffic engineering . Existing techniques for traffic monitoring , however , tend to be suboptimal due to poor choice of monitor location or constantly evolving monitoring objectives and traffic characteristics .
There can also be additional constraints , such as rules governing the movement of data from one classification to another . The problem addressed herein is the ability to quickly sanitize customer device data and provide it to the customer approval process for publishing to the vendor for use in troubleshooting / analytics . This is a critical gap in the servicing of devices located in highly restrictive or sensitive environments .
Today ’s network operators strive to create self-healing cellular networks that have a fully automated troubleshooting management process . To this end , the network monitoring system should be capable of detecting issues , diagnosing them , and triggering the adequate recovery action .
Therefore , the FMSs have to be endowed with tools and techniques allowing an automatic recovery of errors . The objective of this work consists in proposing an off-line version of the software framework for error troubleshooting in a flexible manufacturing system ( 1 ) . The main difference between the on-line and off-line version is that the error database is stored on the mobile device and the frame marker device is connected directly to the FMS components without the need of the PC . ) .
During the two-plus years the University of Minnesota has been live on Alma and Primo Central , we have developed a number of workflows , strategies , and tools for troubleshooting access problems in this discovery environment . We will cover common types of access problems , useful tools for diagnosing problem causes , and how to train staff to resolve complex access issue
Requirements for diagnostic-data acquisition and processing include rapid turnaround , effective interfacing with the alignment and power-conditioning controls , preservation of data under failure conditions , options for local or control-room modes of operation , and portability of the hardware required for off-line troubleshooting and calibration . The major elements of a digital system which meets these requirements are shown .
5 . Troubleshooting Logic Gate Circuits . 6 .
Delivering QoS guarantees requires an efficient fault management that is specifically tailored to the QoS handling . A model and an algorithm for fault isolation and event correlation in QoS-enabled distributed systems is presented . The model and the algorithm reflect the fact that the notion of a fault in QoS-enabled systems is different from the conventional fault model .
In this paper we introduce an efficient clustering algorithm embedded in a novel approach for solving the problem of faults identification in large telecommunication networks . Our algorithm is especially designed for the event correlation problem taking into account comprehensive information about the system behaviour . Although alarms are usually useful for identifying faults in such systems , their large number overloads the current management systems , making it extremely difficult to provide an answer within a reasonable response time .
Unfortunately , since business processes supported by traditional information systems are implicitly defined , correlating events into the appropriate process instance is not trivial . This challenge is known as the event correlation problem . This paper presents an adaptation of an existing event correlation algorithm and incorporates it into a technique in order to collect event logs from the execution of traditional information systems .
The scheduling process described by these algorithms does n't control the resources directly so it is more natural to consider it closer to Grid applications . The algorithms are responsible for the management of tasks in workflow , such as managing the tasks for parallel execution , managing of data and correlation of events . To fulfill their functions , the scheduling algorithms need information coming from monitoring services available in the execution platform .
In one example , the over-detection is identified , for correcting the over-detection , to reduce the effects of over-detection , or to ignore the over-detection data , the data is modified . Some examples emphasize the use of morphology analysis and / or event correlation analysis using a correlation to a static template .
In this case , we need a platform or system to solve this problem The security operations center can collect and manage these security events and analyzes the related information , can reduce the false positives and false negatives , and improve security of network system . In this paper , we do some research on the event correlation analysis , introduce the processes of the analysis and the method of rule extraction , and then introduce the system architecture of security operations center .
In this paper , a mOSAIC-based framework for providing distributed intrusion detection in Cloud Computing is proposed . It is an architectural framework that collects information at different Cloud architectural levels , using multiple distributed security components , which can be used to perform complex event correlation analysis to identify intrusions in the Cloud system that involve Service Level Agreement violations .
In the mean rate case the network amplifies the activity of neurons belonging to the selected stimulus and suppresses the activity of neurons receiving weaker stimuli . In the event correlation case , the recurrent network amplifies with a higher gain the correlation between neurons which receive highly correlated inputs while leaving the mean firing rate unaltered . We describe the network architecture and present experimental data demonstrating its context dependent computation capabilities .
The detection phase can in turn trigger the subsequent remediation actions . Communication between the OCS and Kerberos is based on an asynchronous paradigm , whereas event correlation and analysis are effectively realized through a Complex Event Processing approach . The paper will shed light on both the design and the implementation of the system , whose performance is then evaluated by relying on a real-world dataset of Call Detail Record ( CDR ) events provided by Tiscali , a well known Italian Operator .
A modified Fault Tolerant Average Algorithm ( FTAA ) is then applied against the results of the various NIVAs so as to determine a Master Clock Group ( MCG ) . Variants of sync integrity protection mechanisms ( SIPMs ) were utilized prior to the final confirmation of the Grand Master Clock ( GMC ) election and prior to any time information being utilized and/or syndicated for data synchronization and/or event correlation purposes .
Furthermore , this article introduces the use of Radix Trees , also known as Patricia Tries , to determine if a particular application-based event is associated to a network root cause problem . Usage of Patricia Tries for quick IP lookup is nothing new and is commonly used by network router applications , but this paper proposes to use the same method for event cross-correlation purposes , a problem that also depends on quick network topology lookup capabilities to succeed . Finally , a summary of initial results is presented , and future steps for the continuation of the research are proposed .
The paper analyses the main problems which now network monitor is confronted with , brings forward JMX(Java Management eXtensions ) scheme . Then it describes JMX technology and uses it to realize assignment and management of network monitor task in IP network management .
To detect load anomalies , we show it is sufficient to consider cumulative traffic over relatively long intervals such as 5 minutes . This approach substantially extends the current practice in IP network management where only the first order statistics and fixed thresholds are used to identify abnormal behavior .
The experiment shows that the features finally selected in the algorithm can reach the precision of > 96 % on C4.5 classifier . Introduction Traffic identification classification is the basis of IP network management and network security monitoring . High-efficient recognition of traffic can assist many ISP ( Internet Service Provider ) and network administrators to deeply understand traffic composition , thereby controlling the traffic .
Device and file system management topics cover udev , the Hardware Abstraction Layer ( HAL ) , LVM , RAID , and backups . Networking topics include network connections , IP network administration , service management , the Domain Name System , DHCP , and network servers . Servers examined include Web , FTP , Postfix , CUPS , NFS , and Samba .
IP networks are increasingly carrying mission-critical applications with robust end-to-end network performance and reliability requirements . Network performance monitoring forms an essential component of critical IP network management functions such as troubleshooting , anomaly detection , and Service-Level-Agreement ( SLA ) compliance monitoring . However , privacy and security considerations are fueling the use of IP-level encryption techniques such as IPsec , which obscure important transport layer features that existing performance measurement techniques need .
In this paper , we propose a new method for TM estimation which makes more accurate assumptions about the traffic characteristics of the flows between node pairs and , specifically , a Markovian Arrival Process of order two ( MAP-2 ) has been applied for this purpose . The presented evaluation study shows the ability of the method to accurately capture the correlation and burstiness statistics of real IP flows and , therefore , can be successfully applied in IP network management functions .
XML technologies have been recently extensively used in IP based network management , where they have been proven capable of alleviating the SNMP shortcomings in configuration management . Our XMLNET system described in [ 1 ] has demonstrated that XML systems can greatly facilitate the development of network management applications even in complex heterogeneous multi-vendor networks .
The introduction of service level differentiation in IP networks requires adequate support for defining and administrating network resource usage with regard to QoS , routing and accounting . This paper proposes the abstract switch toolkit ( AST ) , a component-based flexible and scalable framework for defining and administrating IP network control and management . AST is designed for wire-speed switching routers supporting flow detection .
Accounting Management is probably the least developed IP network management application . Now it is paid more attention than before .
Summary form only given . This tutorial presents a view of the IP network management problem from the perspective of the network itself . It focuses on how to address enhanced manageability requirements in the network infrastructure .
The article solves the problem of assessing security risks in information systems using the methods of the theory of fuzzy sets . The urgency of solving this problem is determined by the complexity of applying a number of existing methods , the possible inaccuracy of quantitative assessments of risk factors , and the possible inadequacy , uncertainty and quality of the initial information .
Before the GII and electronic commerce obtain widespread use and general acceptance , confidence is required that the security techniques being employed are sufficient to guarantee the effective protection of the information transmitted processed and stored . The authors look at the GII security requirements , the needs for security standardization , the work underway and the tasks ahead .
The work of IEEE 802.10 , the LAN Security Working Group , in developing the Standard for Interoperable LAN Security ( SILS ) is described . The areas for security standardization are : a protocol for the secure exchange of data at the data link layer , the management of cryptographic keys at the application layer , and the specification of the network management objects associated with the secure data exchange protocol and the key management protocol . As of July 1989 , IEEE 802.10 has produced the fifth draft of SILS .
In order to effectively improve the office automation efficiency and enhance security of business data in enterprise routine , the Excel Services is adopted to implement a lightweight reporting system . Aiming at the use of Excel report characteristic , the server-side Excel reporting system is designed and implemented based on the SharePoint platform on the premise of combing the existing Excel applies business logic .
The system comprises a sub application system which is used for satisfying business requirements so as to allow users to execute business operations ; a structured data memory module used for storing structured data in a business operational process , and a non-structured data memory module used for storing non-structured data in the business operational process , wherein the non-structured data stored in the non-structured data memory module is encrypted enciphered data based on a memory medium layer . By adoption of the special memory system for business data with the structure , the security of business data of information systems is enhanced ; and by adoption of the encryption algorithm implemented by hardware in the memory medium , the read-write efficiency of the data is improved , and business data leakage caused by physical crack of hard disks is prevented .
The results clearly showed the extent of negotiations that take place and the type of passenger most associated with delays in the â€œidealâ€ throughput scenario . Calculating direct costs of manpower associated with security screening of passengers and the different throughput times led to the conclusion that even though the â€œgood passengersâ€ , those who pass through the security process in the minimum time , are the bulk of passenger throughput , â€œproblematicâ€ passengers who negotiate make up the bulk of the costs . These findings highlight the dilemma faced by security managers but also provide a window of opportunity to seek appropriate solutions .
Inspection equipment ( e.g. , X-ray machines ) is bulky and expensive . Moreover , screening reliability still rests on human performance , and the throughput in security screening of passengers and luggages is very limited . To this end , we propose to develop a low-cost and practical hidden e-device recognition technique to enable efficient screenings for threats of hidden electronic devices in daily life .
The enforcement of the General Data Protection Regulation imposes specific privacy- and -security related requirements that any organisation that processes European Union citizens ’ personal data must comply with . The application of privacy- and security-by-design principles are assisting organisation in achieving compliance with the Regulation .
Moreover , this provided support to detect solution for demerits faced within the given approached and provided the latest solution or techniques to protect the cloud . Cite this Article Mohini Gour , Abhigyan Tiwari , Amit Shrivastava et al. Hadoop Based Cloud Data Security on Cloud Using Encryption Algorithm . Journal of Computer Technology & Applications .
These papers from Oracle database systems own security mechanism and network environment to analysis and research Oracle database security problems . To the database internal security problems , we can take measure in database systems and database data . Towards the network security problem , Oracle 's senior security mechanism intermediate technology could be a good choice .
Breaches of electronic medical records constitute a type of healthcare error , but should be considered separately from other types of errors because the national focus on the security of electronic data justifies special treatment of medical information breaches . Guidelines for protecting electronic medical records should be applied equally to paper medical records .
In a previous article for S&P magazine , we made a case for the new intellectual challenges in the Internet of Things security research . In this article , we revisit our earlier observations and discuss a few results from the computer security community that tackle new issues .
For solving the database security problem that business enterprises concern , A system about database security and watch is designed and implemented based on WinPcap . Using WinPcap library , the system captures the data packets via the local MAC , and then perform protocol analyzing , decoding and filtering .
Real-time variable bit rate ( VBR ) video traffic generated from multimedia applications , such as MPEG-coded video , is expected to be large portions of the traffic in future wired/wireless networks . The nature of VBR traffic and its quality of service ( QoS ) constraints increase a number of challenges on network resource managements and operational utilizations . Thus , accurate traffic prediction based dynamic resource allocation and scheduling can significantly improve network performance substantially while satisfying QoS requirements .
Packet capturing is a fundamental technique in the networks management activities , such as network monitoring , the analysis of traffic , and etc .. Begins at the differences between Wireless Local Area Networks ( WLAN ) and Wired Local Area Networks , and then researches the principles of capturing packets in WLAN.Finally , two different methods of capturing packets using wireless network cards are provided .
Localization in wireless sensor networks ( WSNs ) is an essential service , important as both a goal and a mean . It is a goal for WSNs in order to label reported data and a mean for most WSNs to implement networks management services . In distributed localization , there could be a small number of nodes , which have a priori knowledge about their position , called reference nodes and most of the other nodes which do not know their location .
Mobile Agent Enhanced Thin Client Approach to Network Management New frontiers in internet network management A Study on Scalable Federated ID Interoperability Method in Mobile Network Environments Slow Intelligence System Framework to Network Management Problems for Attaining Feasible Solution Monitoring in mobile ad hoc networks: A survey Configuration management of subscriber lines in a telecommunications network Design and Implementation of a Network Management Framework Based on UML and Mobile Agents Global Structure of Remote Sensing Model Library and Parse of Key Technology Intelligent street lamp monitoring system Application of NT Server to the Management of the Computer Laboratory Wireless Sensor Networks for Cultural Property Protection Proactive network management using remote monitoring and artificial intelligence techniques A multiple-point excitation prediction model of pavement management Web services for network management - a universal architecture and its application to MPLS networks Network Management: Problems, Standards, and Strategies Traffic engineering with MPLS in the Internet Centralized and distributed approximation algorithms for routing and weighted max-min fair bandwidth allocation QRPC: A new qualitative model for representing motion patterns Congestion control with adaptive multipath routing based on optimization GMPLS IN OPTICAL NETWORKS A case study of multiservice, multipriority traffic engineering design for data networks Brightness and Color of Fluorescent Yellow and Fluorescent Yellow Green Retroreflective Signs: Comparison of Laboratory and Field Measurements Realistic mobility simulation of urban mesh networks Service specific connection oriented protocol (SSCOP) with no credit limitation Challenge for the Design and Construction of Jakarta MRT from Geotechnical and Traffic Engineering Perspectives S-OSPF: A Traffic Engineering Solution for OSPF Based Best Effort Networks Solution to Shortest Path Problem Using a Connective Probe Machine Traffic Monitoring and Analysis Algorithm Based on Traffic Flow Automated anomaly detection and root cause analysis in virtualized cloud infrastructures E-LEARNING COMPUTER HARDWARE TROUBLESHOOTING USED PHP AND MYSQL Métodos quantitativos - programação linear com o apoio da planilha Excel Dynamic measurement-aware routing in practice RESTRICTED DEVICE DATA SANITIZATION AND RANDOMIZATION Introducing an Unsupervised Automated Solution for Root Cause Diagnosis in Mobile Networks A Comprehensive Approach to Off-line Advanced Error Troubleshooting in Intelligent Manufacturing Systems Troubleshooting electronic access issues in an Alma/Primo Central environment Nova alignment and laser diagnostics systems - 2 Introductory Digital Electronics Fault management in QoS-enabled distributed systems FECk: A New Efficient Clustering Algorithm for the Events Correlation Problem in Telecommunication Networks Assessing event correlation in non-process-aware information systems Dynamic Scheduling Algorithms for Workflow Applications in Grid Environment Method and device to correctly classify cardiac activity The security operations center based on correlation analysis An intrusion detection framework for supporting SLA assessment in Cloud Computing Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons Kerberos: A real-time fraud detection system for IMS-enabled VoIP networks A Potential Cascading Succession of Cyber Electromagnetic Achilles’ Heels in the Power Grid A Self-Management Method for Cross-Analysis of Network and Application Problems Application of JMX in Network Monitor Load characterization, overload prediction, and anomaly detection for voice over IP traffic A stable feature selection approach for optimizing traffic classification based on adaptive threshold Fedora 11: Administration, Networking, Security Towards real-time performance monitoring for encrypted traffic Traffic Matrix Estimation Based on Markovian Arrival Process of Order Two (MAP-2) XML Systems for Intelligent Management of Pervasive Computing Resources Component-based policy deployment for service level differentiation in converging communication networks Research on IP Network Accounting Management Rethinking manageability - advances and emerging paradigm shifts in managing intelligent IP networks Security Risk Assessment Method Using Fuzzy Logic Security techniques for the global information infrastructure A security standard for LANs Research and design of reporting system based on Excel Services Special memory system for business data The cost of airport security: The passenger dilemma E-Eye: Hidden Electronics Recognition through mmWave Nonlinear Effects Practical evaluation of a reference architecture for the management of privacy level agreements Hadoop Based Cloud Data Security on Cloud Using Encryption Algorithm Oracle distributed database systems and network security policy research Breaches of health information: are electronic records different from paper records? New Problems and Solutions in IoT Security and Privacy Design and Implementation of Database Security and Watch System Based on Winpcap Efficient Traffic Prediction Algorithm of Mutimedia Traffic for Scheduling the Wireless Network Resources Methods of Packet Capturing in 802.11b WLAN Based on Linux Improved range-free localization methods for wireless sensor networks
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