Load balancing in the cloud computing environment has an important impact on the performance . Good load balancing makes cloud computing more efficient and improves user satisfaction . This article introduces a better load balance model for the public cloud based on the cloud partitioning concept with a switch mechanism to choose different strategies for different situations . Due to the growing concerns in access management techniques and the numerous access controls that have been proposed in the recent years , as well as because of the emerging cloud computing era , there is an increasing interest in advanced and secure access control services that will improve security and compliance . In this paper , we present the Unified Access Control Services ( UACS ) framework for accessing protected resources based on policy-driven decisions and we analyze the integration of the authentication and authorization modules with the access control policies . In the personal computer ( PC ) and the internet age , a computer can be the information hub of a person or an enterprise that realizes information storage and computing functions . In the cloud computing era , cloud computing data centers are to replace personal computers , and become the new information hub that lowers costs and improves on the efficiency , in satisfying the human demands for massive information storage , computing and security . Microsoft ’s Senior Vice President Yaqin Zhang has pointed out : “ Cloud computing is the engine and the nervous center for the next generation of the Internet , Internet of Things and mobile Internet . The security and privacy of user data has become a major concern in the cloud computing era . Cryptographic solutions based on secure computation outsourcing have been extensively studied in order to protect the security and privacy of user data . The academia and industry have already recognized the great potential of cloud computing , and paid much attention to it . However , the absence of standards in cloud computing implementation has become a bottleneck in our cloud computing industry . Prom the practical point of view and by understanding the importance of cloud computing and Internet service development , this article points out that cloud computing is something for solving different problems so as to bring about a cloud revolution , rather than just a change of business mode as which is generally considered . A viable business model is crucial for the successful commercialisation of disruptive technologies . The cloud computing industry provides an ideal example for exploring how various elements of a business model contribute to a product 's success ( or failure ) . We examine how Amazon.com , Salesforce.com and Siebel responded to the disruptive power of the cloud computing technology . Hence key frame extraction becomes very important in Video Content Summarization . In applications needing content summarization , like data storage , retrieval and surveillance , key frames extraction plays a vital role . The Block truncation Coding is one of color feature extraction methods in Content Based Video Retrieval ( CBVR ) . Although the genome map of human has been decoded , the roles that each segment of sequences acts are not totally discovered . On the other hand , with the rapid expansion of sequence information , the issues of data compilation and data storage are increasingly important . Recently , a “ Web-based Human Genome Database System ” is implemented in National Taiwan University Hospital . The Electron Trapping Optical Data Storage ( ETODS ) System uses two wavelengths of light to accomplish the Write/Read/Erase processes . The fundamental process responsible for the storage of data is the transfer of electrons between the two types of Recently , the technology of the memory has been developed for storage of data . According to the technology of the memory , storage capacity has rapidly been increased . Thus , the goal of our study is to use XML to store and exchange data and to connect it to the distributed processing of multidimentional data . This article deals with the problematic of storing documents in distributed environments such as the cloud nodes , and discusses the possibility of combining the storage of data and the decisional analysis based on OLAP cubes in cloud environments , using the MapReduce model for query processing . SCAN is a selfcontained real-time program based on the basic instruction set provided by Data General Corporation for the Nova-Line Computers . It was custom tailored to fit into a skeleton environment , doing its own storage , interrupt and INPUT/ OUTPUT management , thereby releasing much of the core for data storage purposes . It uses none of the manufacturer 's standard software , which would claim priority over parts of the core , and was built to be adaptable for a variety of acquisition modes . You will also perform link analysis and scoring that are helpful in improving the rank of your application page . What you will learn from this book Carry out web crawling for your application Make your application searching efficient by integrating it with Apache Solr Integrate your application with different databases for data storage purposes Run your application in a cluster environment by integrating it with Apache Hadoop Perform crawling operations with Eclipse , which is used as an IDE instead of the command line Create your own plugin in Apache Nutch Integrate Apache Solr with Apache Nutch , and deploy Apache Solr on Apache Tomcat Apply Sharding on Apache Tomcat for getting good results from Apache Solr while searching Approach This book is a user-friendly guide that covers all the necessary steps and examples related to web crawling and data mining using Apache Nutch . Who this book is written for " Web Crawling and Data Mining with Apache Nutch " is aimed at data analysts , application developers , web mining engineers , and data scientists . Grid computing is becoming popular day by day . Grid computing is a type of distributed computing that includes sharing of computational power , data and storage and network resources across dynamic organizations . The amount of resources available to any given application highly fluctuates over time . Data and storage systems are one of the most important issues to tackle when dealing with cloud computing . Performance , in terms of data transfer and energy cost , predictability , and scalability are the main challenges researchers are faced with , and new techniques for storing , managing , and accessing huge amounts of data are required to make cloud computing technology feasible . A pair of cross-coupled transistors , a plurality of current switches and a current source provide the combined functions of data selection and data storage of data from a plurality of data input signals . Gating signals applied to the current switches determine which data signals are selected for storage in the gate . A detailed description is given of an ultrasonic imaging system which is composed of commercial units : programmable ultrasonic generator-receiver , programmable scanning table , 64 K microcomputer . The programming for automatic search for echoes , C-scanning , data and data storage ( echo amplitude and delay time ) acquisition on diskette unit is described . The ultrasonic maps are built from these data either through an amplitude-position perspective view in the scanning plan or through a planar set of constant-amplitude regions . This project considers the problem of determinizing uncertain data data to enable to facilitate the data data storage in legacy systems that accept only deterministic input . Probabilistic data may be generated by automated data analysis/enrichment techniques such as entity resolution , information extraction , and speech processing . We present data mining techniques and frameworks designed for developing distributed data analytics applications on Clouds . These systems implement data set storage , analysis tools , data mining algorithms and knowledge models as single services that are combined through a visual programming interface in distributed workflows . According to our knowledge , this is the first research in this area that presents the relevancy of SSD characteristics with storage features of large enterprise applications like data warehouses and data marts . We implement the architecture of data storage in and data retrieval from flash memory based SSDs for such applications . We prove less overhead with high reliability , and more throughput compare to hard disk drives . This paper introduces a recording meter of sailboat attitude based on a single-chip microcomputer(SCM ) PIC16F877.The attitude data acquisition , time marks , data storage storing and the serial communication with the host computer are all discussed in the paper . NIST and ISO , but especially HL7 play a prominent role in this context . Starting with classic role-based access control ( RBAC ) foundations to new specifications for security and privacy labeling of segmented health information , HL7 security is presented as a scalable intermediate solution on the way to comprehensive privilege management and access control by explicit , ontology-based , formal and therefore machine-processable policies . The successfully balloted HL7 labeling specification supports context-sensitive communication and cooperation between different stakeholders and processes with different purposes of use , based on meta-data of information , actors and processes involved . Purpose The Bring-Your-Own-Device ( BYOD ) paradigm favors the use of personal and public devices and communication means in corporate environments , thus representing a challenge for the traditional security and risk management systems . In this dynamic and heterogeneous setting , the purpose of this paper is to present a methodology called opportunity-enabled risk management ( OPPRIM ) , which supports the decision-making process in access control to remote corporate assets . Design/methodology/approach OPPRIM relies on a logic-based risk policy model combining estimations of trust , threats and opportunities . The paper proposed the model of J2EE Based Access Decision Services --- JRADS according to the comprehensive application of J2EE in the distributed environment . It separated the authority logic of application level from the application logic so that to solve the access control problem of distributed application sources better . First , the paper showed the interface between application systems and JRADS . The security is one of core problems in an OS . From the development on Access Controlling of Windows NT to Windows 2000 , the thesis takes a deep analysis on some important modules in Windows 2000 's security , such as Security Describe , Access Control List , Access Token , Access Mask , etc , gives a clear idea on how Windows 2000 strengthen its security . For that purpose agents ' execution logs are checked in order to identify malicious activities or misuse of resources at a particular host . As an alternative , instead of detective approach , we focus on preventive approach for control of access by mobile agents . While detective approach may provide some protection , its primary shortcoming is that it does not provide protection of resources in advance , before access , and in fact requires post-fact manual intervention and activation of countermeasures . One of the key challenges faced by the information communication network while sharing resources is its security . Due to the increased online transactions , issue of data security became vital . This paper presents a technical review on secure banking using RSA and AES encryption methodologies . The paper studies USB access control technology , data hiding , encryption , and proposes a system of USB access control and data security . It ensures data security and boycotts the illegal use of USB events . The data disaster recovery system which based on fiber channel or remote data center is so costly . So the system does not appropriate to data security protection of small enterprises . The paper presents a distributed recovery method which based on remote data disaster recovery , and this method has some features including lower cost , deployment flexibility , high security etc . Using graph-theoretical techniques , we give optimal or efficient algorithms for the query system problem , the adversary problem and the minimum complementary suppression problem . These three problems are considered for a variety of data security requirements such as those of protecting linear invariants , analytic invariants , k rows ( or columns ) as a whole , and a table as a whole . Then , any event report generated by each particular cell is signed by a new type of endorsement called a cellreporter signature , where cell-reporters are defined as a set of nodes selected randomly by the BS out of the nodes located within the particular cell . This system is analysed and proved to outperform other schemes in terms of data security requirements . Regarding the data confidentiality , for three values of z ( 1,2,3 ) the improvement is 95 % , 90 % and 85 % respectively when 1000 nodes are compromised . HIDDEN FILES MS-DOS for IBM and compatible machines has several obscure capabilities . For data security purposes , the best of these is the ability to hide files , directories and characters from view . Hiding a file or directory means the user ca n't see any part of the file or directory name . Now a day 's privacy is the main issue to sending information from one point to another in data transmission . Encryption of data is the most effective way of computer science concerned with developing schemes and formula to achieve data & information security . In its course of action , it allows sequence to be encoded in the form of cipher text where it is extremely difficult to read or recognize the codes where decryption is the procedure to transforming encoded text into the original message and information . Abstract With the advent of new digital technologies and increasing capabilities to share pre-existing information streams , the role of data information security and privacy has become a challenging and pressing topic in the humanitarian sector . In recognition of the need for policies , protocols , and practices , we present one view on a responsible data approach with emerging protocols and perspective on its implementation . The anti-fuse PROM comprises a reading/writing circuit , a storage unit array comprising a plurality of storage units , a self-erasing circuit , a control logic circuit and a control signal receiving circuit , wherein the reading/writing circuit comprises a coding module , a sensitive amplifier and a programming module ; the signal input ends of the self-erasing circuit and the control logic circuit are connected with the signal output end of the control signal receiving circuit ; the control signal receiving circuit receives the control signals sent from the outside and triggers the self-erasing circuit and the control logic circuit ; the signal output end of the self-erasing circuit is connected with the coding module and a storage module ; the signal output end of the control logic circuit is connected with the sensitive amplifier and the programming module ; and the signal output end of the control logic circuit is also connected with the signal input end of the self-erasing circuit . The invention realizes the self-erasing of the PROM through the self-erasing circuit and ensures the implementation of data information security . As conditions change , the basic trade-off between accountability and business opportunities is made ( and should be made ) every time again . Apart from that , data level security has several limitations to start with , and there is a big potential for solving security problems differently : by rearranging the responsibilities between businesses and individuals . The results of this analysis can be useful for security professionals who need to trade off different security mechanisms for their organisations and their information systems . This paper presents some security issues , namely security database system level , data level security , user-level security , user management , resource management and password management . Security is a constant concern in the design and database development . By-turn , it led to emergence of security problems related to user data utilized in such communications . One of the main aspects of the data security assurance is security of software operating on mobile devices . The aim of this work was to analyze security threats to PeerHood , software intended for performing personal communications between mobile devices regardless of underlying network technologies . Data security assurance through a web or standalone application implies the development of security technologies and methods . User authentication , a security technology , allows access to data and information only to users which have an account and a password . For this purpose we referred to data of security surveys to examine the scope of risk analysis and to identify involved entities in this process . Our analysis shows a continuous focus on data system security rather than on real world organizational context as well as a prevalent involvement of top management and security staff in risk analysis process and in security policy definition and implementation . We therefore suggest that three issues need to be further investigated in the field of information security risk management in order to bridge the gap between design and implementation of secure and usable systems . A virtual machine is a logical implementation of a computer that operates in the similar manner as the computer system . A cloud computing environment requires a suitable algorithm for executing the various jobs provided to the system in a cost effective manner based on certain constraints . This task is performed by a VM scheduler using a suitable scheduling algorithm . In this paper we discuss different domain of research and innovations in cloud computing domain . Additionally this paper provides a literature for challenges and issues in cloud computing environment . One of the distributed computing paradigm which mainly focuses on providing everything as a service to the consumer is cloud computing and it provides computational or storage resources and database to users . In the cloud computing environment , load balancing has an important impact on the performance . Effective implementation of load balancing can make cloud computing more effective and it also improves user satisfaction . The healthcare industry requires a private cloud that adheres to government mandates designed to ensure privacy and security of patient data while enabling access by authorized users . Cloud-based computing in the imaging market has evolved from a service that provided cost effective disaster recovery for archived data to fully featured PACS and vendor neutral archiving services that can address the needs of healthcare providers of all sizes . Healthcare providers worldwide are now using the cloud to distribute images to remote radiologists while supporting advanced reading tools , deliver radiology reports and imaging studies to referring physicians , and provide redundant data storage . Ad-hoc data processing has proven to be a critical paradigm for Internet companies processing large volumes of unstructured data . However , the emergence of cloud-based computing , where storage and CPU are outsourced to multiple third-parties across the globe , implies large collections of highly distributed and continuously evolving data . Our demonstration combines the power and simplicity of the MapReduce abstraction with a wide-scale distributed stream processor , Mortar . We propose a comprehensive design methodology for control and data planes of wavelength-routed optical networks ( WRONs ) employing mixed-line-rate ( MLR ) transmission for cost-effective resource provisioning . The proposed approach attempts to minimize the maximum lightpath capacity demand in Gbps ( representing the measure of lightpath congestion ) in network for a given traffic matrix by using a mix of a heuristic scheme and linear programming ( LP ) . The important challenges in cloud computing are security , resources allocation and resources provisioning . The important aim in resource provisioning is maximum performance in minimum time and reduce the amount of data transfer with minimum cost . When the workload of services increases rapidly , the Quality of Service(QoS ) of the hosted application may degrade and the Service Level Objective(SLO ) will be violated . The pricing mechanism of cloud-computing resources is an essential issue for both cloud customers and providers , especially in the view point of multi-provider competition . Although various mechanisms for resource provision are proposed , few studies have focused on multi-attribute resource provision with the objective of improving benefits of both cloud customers and providers . To address the issue , we propose a price bidding mechanism for multi-attribute cloud-computing resource provision from the perspective of a non-cooperative game . This solution uses holistic point of view , which combines data management methods and cloud computing technologies together , to answer and ease the concerns . Various topics between private cloud and public cloud are discussed and compared in the paper , include security , customization , data transfer , data/vendor lock-in , Software as a Service ( SaaS ) integration , cost , and resource provision . It is important to note these topics because cloud infrastructure management is not simply about cloud technologies but also data quality management . In this paper , a Cloud Assisted Mobile Edge computing ( CAME ) framework is adopted to enhance the adaptability of MEC to time-varying mobile requests . The resource provisioning problem is investigated to provide guaranteed quality of service ( QoS ) with minimum system cost . By exploiting the piecewise convexity of the problem , the Optimal Resource Provisioning ( ORP ) algorithm is developed , which determines the computation capacity at mobile edge and dynamically tunes the usage of cloud resources . The emphasis is on integration : the rigorous delay constraints , ensuring reliability on the distributed remote nodes , and the sheer scale altogether call for a powerful provisioning platform that offers the applications the best out of the underlying infrastructure . In this paper we investigate the resource provisioning problem in the edge infrastructure with the consideration of probable failures . Our goal is to support high reliability of services with the minimum amount of edge resources reserved to provide the necessary redundancy in the system . Different from dedicated hardware that realizes the network functions for an IoT application , the network function of an NFV network is executed on general servers , and in order to achieve complete network functions , service function chaining ( SFC ) chains virtual network functions to work together to support an IoT application . In this paper , we focus on a main challenge in this domain , i.e. , resource efficient provisioning for social IoT application oriented SFC requests . We propose an online SFC deployment algorithm based on the layered strategies of physical networks and an evaluation of physical network nodes , which can efficiently reduce bandwidth resource consumption ( OSFCD-LSEM ) and support the security and privacy of social IoT applications . In this paper we examine the resource provisioning aspects in a passive optical network ( PON ) employing wavelength-division multiplexing ( WDM ) and optical code-division multiple access ( OCDMA ) techniques . A judicious resource allocation scheme is proposed for a given set of optical codes and wavelengths with due consideration to the traffic asymmetry between upstream and downstream transmissions . In this paper we examine the resource provisioning aspects in a passive optical network ( PON ) employing wavelength-division multiplexing ( WDM ) and optical code-division multiple access ( OCDMA ) techniques . A judicious resource allocation scheme is proposed for a given set of optical codes and wavelengths with due consideration to the traffic asymmetry between upstream and downstream transmissions . ingperformance . Experiments canbetime-consuming and System administrators often complain that default setexpensive , soonly alimited numberofexperiments canbe tings ofconfiguration parameters areprovided withvery doneeveninsystems withhundreds ofconfiguration pa- simple workloads andresource provisioning inmind[6 ] . rameters . The QoS encompasses different parameters , like , smart job allocation strategy , efficient load balancing , response time optimization , reduction in wastage of bandwidth , accountability of the overall system , etc . The efficient allocation strategy of the independent computational jobs among different Virtual Machines ( VM ) in a Datacenter ( DC ) is a distinguishable challenge in the Cloud Computing domain and finding out an optimal job allocation strategy guided by a good scheduling heuristic for such an environment is an Mape-k loop problem . So different heuristic approaches may be used for better result and in this work we implement worst fit in Mape-k and evaluated the results . New research issues , challenges and opportunities shaping the future agenda in the field of Big Data and Cloud Computing are identified and presented throughout the book , which is intended for researchers , scholars , students , software developers and practitioners working at the forefront in their field . This book acts as a platform for exchanging ideas , setting questions for discussion , and sharing the experience in Big Data and Cloud Computing domain . Meta XA is based on an event-driven architecture combined with the complex event processing technology . In this paper , we propose an approach to bringing Meta XA into the cloud computing domain , without having to change its architecture . The invention relates to the dynamic resource scheduling technique in the cloud computing field , and provides a cloud computing dynamic resource scheduling method based on the feedback and a prediction mechanism . The method aims to overcome the defects of the cloud computing resource distribution and scheduling technique in the prior art , and can achieve balance use of various computer resources in a cloud computing environment , obtain satisfactory load balance under small pay expenses and improve comprehensive efficiency of system scheduling . These types of concerns originate from the fact that data is stored remotely from the customer 's location ; in fact , it can be stored at any location . Security , in particular , is one of the most argued-about issues in the cloud computing field ; several enterprises look at cloud computing warily due to projected security risks . The risks of compromised security and privacy may be lower overall , however , with cloud computing than they would be if the data were to be stored on individual machines instead of in a so — called " cloud " ( the network of computers used for remote storage and maintenance ) . cloud computing is one of the biggest innovative technology and it provides the facility of heavy data maintenance and management by improving data sharing and data storing capabilities . To create data management more scalable in cloud computing field , deduplication a well-known method of data compression to reduce duplicate copies of duplicate data in storage over a cloud . Regardless of the possibility that information deduplication brings a ton of preferences in security and protection concern happen as clients ' classified information are at risk to both assaults insider and pariah . This leads to an uneven distribution of overall work on cloud resources . So a proper balance of overall load over the available resources is a major issue in cloud computing paradigm . Load balancing ensures that no single node will be overloaded and used to distribute workload among multiple nodes .
Load balancing in the cloud computing environment has an important impact on the performance . Good load balancing makes cloud computing more efficient and improves user satisfaction . This article introduces a better load balance model for the public cloud based on the cloud partitioning concept with a switch mechanism to choose different strategies for different situations .
Due to the growing concerns in access management techniques and the numerous access controls that have been proposed in the recent years , as well as because of the emerging cloud computing era , there is an increasing interest in advanced and secure access control services that will improve security and compliance . In this paper , we present the Unified Access Control Services ( UACS ) framework for accessing protected resources based on policy-driven decisions and we analyze the integration of the authentication and authorization modules with the access control policies .
In the personal computer ( PC ) and the internet age , a computer can be the information hub of a person or an enterprise that realizes information storage and computing functions . In the cloud computing era , cloud computing data centers are to replace personal computers , and become the new information hub that lowers costs and improves on the efficiency , in satisfying the human demands for massive information storage , computing and security . Microsoft ’s Senior Vice President Yaqin Zhang has pointed out : “ Cloud computing is the engine and the nervous center for the next generation of the Internet , Internet of Things and mobile Internet .
The security and privacy of user data has become a major concern in the cloud computing era . Cryptographic solutions based on secure computation outsourcing have been extensively studied in order to protect the security and privacy of user data .
The academia and industry have already recognized the great potential of cloud computing , and paid much attention to it . However , the absence of standards in cloud computing implementation has become a bottleneck in our cloud computing industry . Prom the practical point of view and by understanding the importance of cloud computing and Internet service development , this article points out that cloud computing is something for solving different problems so as to bring about a cloud revolution , rather than just a change of business mode as which is generally considered .
A viable business model is crucial for the successful commercialisation of disruptive technologies . The cloud computing industry provides an ideal example for exploring how various elements of a business model contribute to a product 's success ( or failure ) . We examine how Amazon.com , Salesforce.com and Siebel responded to the disruptive power of the cloud computing technology .
Hence key frame extraction becomes very important in Video Content Summarization . In applications needing content summarization , like data storage , retrieval and surveillance , key frames extraction plays a vital role . The Block truncation Coding is one of color feature extraction methods in Content Based Video Retrieval ( CBVR ) .
Although the genome map of human has been decoded , the roles that each segment of sequences acts are not totally discovered . On the other hand , with the rapid expansion of sequence information , the issues of data compilation and data storage are increasingly important . Recently , a “ Web-based Human Genome Database System ” is implemented in National Taiwan University Hospital .
The Electron Trapping Optical Data Storage ( ETODS ) System uses two wavelengths of light to accomplish the Write/Read/Erase processes . The fundamental process responsible for the storage of data is the transfer of electrons between the two types of
Recently , the technology of the memory has been developed for storage of data . According to the technology of the memory , storage capacity has rapidly been increased .
Thus , the goal of our study is to use XML to store and exchange data and to connect it to the distributed processing of multidimentional data . This article deals with the problematic of storing documents in distributed environments such as the cloud nodes , and discusses the possibility of combining the storage of data and the decisional analysis based on OLAP cubes in cloud environments , using the MapReduce model for query processing .
SCAN is a selfcontained real-time program based on the basic instruction set provided by Data General Corporation for the Nova-Line Computers . It was custom tailored to fit into a skeleton environment , doing its own storage , interrupt and INPUT/ OUTPUT management , thereby releasing much of the core for data storage purposes . It uses none of the manufacturer 's standard software , which would claim priority over parts of the core , and was built to be adaptable for a variety of acquisition modes .
You will also perform link analysis and scoring that are helpful in improving the rank of your application page . What you will learn from this book Carry out web crawling for your application Make your application searching efficient by integrating it with Apache Solr Integrate your application with different databases for data storage purposes Run your application in a cluster environment by integrating it with Apache Hadoop Perform crawling operations with Eclipse , which is used as an IDE instead of the command line Create your own plugin in Apache Nutch Integrate Apache Solr with Apache Nutch , and deploy Apache Solr on Apache Tomcat Apply Sharding on Apache Tomcat for getting good results from Apache Solr while searching Approach This book is a user-friendly guide that covers all the necessary steps and examples related to web crawling and data mining using Apache Nutch . Who this book is written for " Web Crawling and Data Mining with Apache Nutch " is aimed at data analysts , application developers , web mining engineers , and data scientists .
Grid computing is becoming popular day by day . Grid computing is a type of distributed computing that includes sharing of computational power , data and storage and network resources across dynamic organizations . The amount of resources available to any given application highly fluctuates over time .
Data and storage systems are one of the most important issues to tackle when dealing with cloud computing . Performance , in terms of data transfer and energy cost , predictability , and scalability are the main challenges researchers are faced with , and new techniques for storing , managing , and accessing huge amounts of data are required to make cloud computing technology feasible .
A pair of cross-coupled transistors , a plurality of current switches and a current source provide the combined functions of data selection and data storage of data from a plurality of data input signals . Gating signals applied to the current switches determine which data signals are selected for storage in the gate .
A detailed description is given of an ultrasonic imaging system which is composed of commercial units : programmable ultrasonic generator-receiver , programmable scanning table , 64 K microcomputer . The programming for automatic search for echoes , C-scanning , data and data storage ( echo amplitude and delay time ) acquisition on diskette unit is described . The ultrasonic maps are built from these data either through an amplitude-position perspective view in the scanning plan or through a planar set of constant-amplitude regions .
This project considers the problem of determinizing uncertain data data to enable to facilitate the data data storage in legacy systems that accept only deterministic input . Probabilistic data may be generated by automated data analysis/enrichment techniques such as entity resolution , information extraction , and speech processing .
We present data mining techniques and frameworks designed for developing distributed data analytics applications on Clouds . These systems implement data set storage , analysis tools , data mining algorithms and knowledge models as single services that are combined through a visual programming interface in distributed workflows .
According to our knowledge , this is the first research in this area that presents the relevancy of SSD characteristics with storage features of large enterprise applications like data warehouses and data marts . We implement the architecture of data storage in and data retrieval from flash memory based SSDs for such applications . We prove less overhead with high reliability , and more throughput compare to hard disk drives .
This paper introduces a recording meter of sailboat attitude based on a single-chip microcomputer(SCM ) PIC16F877.The attitude data acquisition , time marks , data storage storing and the serial communication with the host computer are all discussed in the paper .
NIST and ISO , but especially HL7 play a prominent role in this context . Starting with classic role-based access control ( RBAC ) foundations to new specifications for security and privacy labeling of segmented health information , HL7 security is presented as a scalable intermediate solution on the way to comprehensive privilege management and access control by explicit , ontology-based , formal and therefore machine-processable policies . The successfully balloted HL7 labeling specification supports context-sensitive communication and cooperation between different stakeholders and processes with different purposes of use , based on meta-data of information , actors and processes involved .
Purpose The Bring-Your-Own-Device ( BYOD ) paradigm favors the use of personal and public devices and communication means in corporate environments , thus representing a challenge for the traditional security and risk management systems . In this dynamic and heterogeneous setting , the purpose of this paper is to present a methodology called opportunity-enabled risk management ( OPPRIM ) , which supports the decision-making process in access control to remote corporate assets . Design/methodology/approach OPPRIM relies on a logic-based risk policy model combining estimations of trust , threats and opportunities .
The paper proposed the model of J2EE Based Access Decision Services --- JRADS according to the comprehensive application of J2EE in the distributed environment . It separated the authority logic of application level from the application logic so that to solve the access control problem of distributed application sources better . First , the paper showed the interface between application systems and JRADS .
The security is one of core problems in an OS . From the development on Access Controlling of Windows NT to Windows 2000 , the thesis takes a deep analysis on some important modules in Windows 2000 's security , such as Security Describe , Access Control List , Access Token , Access Mask , etc , gives a clear idea on how Windows 2000 strengthen its security .
For that purpose agents ' execution logs are checked in order to identify malicious activities or misuse of resources at a particular host . As an alternative , instead of detective approach , we focus on preventive approach for control of access by mobile agents . While detective approach may provide some protection , its primary shortcoming is that it does not provide protection of resources in advance , before access , and in fact requires post-fact manual intervention and activation of countermeasures .
One of the key challenges faced by the information communication network while sharing resources is its security . Due to the increased online transactions , issue of data security became vital . This paper presents a technical review on secure banking using RSA and AES encryption methodologies .
The paper studies USB access control technology , data hiding , encryption , and proposes a system of USB access control and data security . It ensures data security and boycotts the illegal use of USB events .
The data disaster recovery system which based on fiber channel or remote data center is so costly . So the system does not appropriate to data security protection of small enterprises . The paper presents a distributed recovery method which based on remote data disaster recovery , and this method has some features including lower cost , deployment flexibility , high security etc .
Using graph-theoretical techniques , we give optimal or efficient algorithms for the query system problem , the adversary problem and the minimum complementary suppression problem . These three problems are considered for a variety of data security requirements such as those of protecting linear invariants , analytic invariants , k rows ( or columns ) as a whole , and a table as a whole .
Then , any event report generated by each particular cell is signed by a new type of endorsement called a cellreporter signature , where cell-reporters are defined as a set of nodes selected randomly by the BS out of the nodes located within the particular cell . This system is analysed and proved to outperform other schemes in terms of data security requirements . Regarding the data confidentiality , for three values of z ( 1,2,3 ) the improvement is 95 % , 90 % and 85 % respectively when 1000 nodes are compromised .
HIDDEN FILES MS-DOS for IBM and compatible machines has several obscure capabilities . For data security purposes , the best of these is the ability to hide files , directories and characters from view . Hiding a file or directory means the user ca n't see any part of the file or directory name .
Now a day 's privacy is the main issue to sending information from one point to another in data transmission . Encryption of data is the most effective way of computer science concerned with developing schemes and formula to achieve data & information security . In its course of action , it allows sequence to be encoded in the form of cipher text where it is extremely difficult to read or recognize the codes where decryption is the procedure to transforming encoded text into the original message and information .
Abstract With the advent of new digital technologies and increasing capabilities to share pre-existing information streams , the role of data information security and privacy has become a challenging and pressing topic in the humanitarian sector . In recognition of the need for policies , protocols , and practices , we present one view on a responsible data approach with emerging protocols and perspective on its implementation .
The anti-fuse PROM comprises a reading/writing circuit , a storage unit array comprising a plurality of storage units , a self-erasing circuit , a control logic circuit and a control signal receiving circuit , wherein the reading/writing circuit comprises a coding module , a sensitive amplifier and a programming module ; the signal input ends of the self-erasing circuit and the control logic circuit are connected with the signal output end of the control signal receiving circuit ; the control signal receiving circuit receives the control signals sent from the outside and triggers the self-erasing circuit and the control logic circuit ; the signal output end of the self-erasing circuit is connected with the coding module and a storage module ; the signal output end of the control logic circuit is connected with the sensitive amplifier and the programming module ; and the signal output end of the control logic circuit is also connected with the signal input end of the self-erasing circuit . The invention realizes the self-erasing of the PROM through the self-erasing circuit and ensures the implementation of data information security .
As conditions change , the basic trade-off between accountability and business opportunities is made ( and should be made ) every time again . Apart from that , data level security has several limitations to start with , and there is a big potential for solving security problems differently : by rearranging the responsibilities between businesses and individuals . The results of this analysis can be useful for security professionals who need to trade off different security mechanisms for their organisations and their information systems .
This paper presents some security issues , namely security database system level , data level security , user-level security , user management , resource management and password management . Security is a constant concern in the design and database development .
By-turn , it led to emergence of security problems related to user data utilized in such communications . One of the main aspects of the data security assurance is security of software operating on mobile devices . The aim of this work was to analyze security threats to PeerHood , software intended for performing personal communications between mobile devices regardless of underlying network technologies .
Data security assurance through a web or standalone application implies the development of security technologies and methods . User authentication , a security technology , allows access to data and information only to users which have an account and a password .
For this purpose we referred to data of security surveys to examine the scope of risk analysis and to identify involved entities in this process . Our analysis shows a continuous focus on data system security rather than on real world organizational context as well as a prevalent involvement of top management and security staff in risk analysis process and in security policy definition and implementation . We therefore suggest that three issues need to be further investigated in the field of information security risk management in order to bridge the gap between design and implementation of secure and usable systems .
A virtual machine is a logical implementation of a computer that operates in the similar manner as the computer system . A cloud computing environment requires a suitable algorithm for executing the various jobs provided to the system in a cost effective manner based on certain constraints . This task is performed by a VM scheduler using a suitable scheduling algorithm .
In this paper we discuss different domain of research and innovations in cloud computing domain . Additionally this paper provides a literature for challenges and issues in cloud computing environment .
One of the distributed computing paradigm which mainly focuses on providing everything as a service to the consumer is cloud computing and it provides computational or storage resources and database to users . In the cloud computing environment , load balancing has an important impact on the performance . Effective implementation of load balancing can make cloud computing more effective and it also improves user satisfaction .
The healthcare industry requires a private cloud that adheres to government mandates designed to ensure privacy and security of patient data while enabling access by authorized users . Cloud-based computing in the imaging market has evolved from a service that provided cost effective disaster recovery for archived data to fully featured PACS and vendor neutral archiving services that can address the needs of healthcare providers of all sizes . Healthcare providers worldwide are now using the cloud to distribute images to remote radiologists while supporting advanced reading tools , deliver radiology reports and imaging studies to referring physicians , and provide redundant data storage .
Ad-hoc data processing has proven to be a critical paradigm for Internet companies processing large volumes of unstructured data . However , the emergence of cloud-based computing , where storage and CPU are outsourced to multiple third-parties across the globe , implies large collections of highly distributed and continuously evolving data . Our demonstration combines the power and simplicity of the MapReduce abstraction with a wide-scale distributed stream processor , Mortar .
We propose a comprehensive design methodology for control and data planes of wavelength-routed optical networks ( WRONs ) employing mixed-line-rate ( MLR ) transmission for cost-effective resource provisioning . The proposed approach attempts to minimize the maximum lightpath capacity demand in Gbps ( representing the measure of lightpath congestion ) in network for a given traffic matrix by using a mix of a heuristic scheme and linear programming ( LP ) .
The important challenges in cloud computing are security , resources allocation and resources provisioning . The important aim in resource provisioning is maximum performance in minimum time and reduce the amount of data transfer with minimum cost . When the workload of services increases rapidly , the Quality of Service(QoS ) of the hosted application may degrade and the Service Level Objective(SLO ) will be violated .
The pricing mechanism of cloud-computing resources is an essential issue for both cloud customers and providers , especially in the view point of multi-provider competition . Although various mechanisms for resource provision are proposed , few studies have focused on multi-attribute resource provision with the objective of improving benefits of both cloud customers and providers . To address the issue , we propose a price bidding mechanism for multi-attribute cloud-computing resource provision from the perspective of a non-cooperative game .
This solution uses holistic point of view , which combines data management methods and cloud computing technologies together , to answer and ease the concerns . Various topics between private cloud and public cloud are discussed and compared in the paper , include security , customization , data transfer , data/vendor lock-in , Software as a Service ( SaaS ) integration , cost , and resource provision . It is important to note these topics because cloud infrastructure management is not simply about cloud technologies but also data quality management .
In this paper , a Cloud Assisted Mobile Edge computing ( CAME ) framework is adopted to enhance the adaptability of MEC to time-varying mobile requests . The resource provisioning problem is investigated to provide guaranteed quality of service ( QoS ) with minimum system cost . By exploiting the piecewise convexity of the problem , the Optimal Resource Provisioning ( ORP ) algorithm is developed , which determines the computation capacity at mobile edge and dynamically tunes the usage of cloud resources .
The emphasis is on integration : the rigorous delay constraints , ensuring reliability on the distributed remote nodes , and the sheer scale altogether call for a powerful provisioning platform that offers the applications the best out of the underlying infrastructure . In this paper we investigate the resource provisioning problem in the edge infrastructure with the consideration of probable failures . Our goal is to support high reliability of services with the minimum amount of edge resources reserved to provide the necessary redundancy in the system .
Different from dedicated hardware that realizes the network functions for an IoT application , the network function of an NFV network is executed on general servers , and in order to achieve complete network functions , service function chaining ( SFC ) chains virtual network functions to work together to support an IoT application . In this paper , we focus on a main challenge in this domain , i.e. , resource efficient provisioning for social IoT application oriented SFC requests . We propose an online SFC deployment algorithm based on the layered strategies of physical networks and an evaluation of physical network nodes , which can efficiently reduce bandwidth resource consumption ( OSFCD-LSEM ) and support the security and privacy of social IoT applications .
In this paper we examine the resource provisioning aspects in a passive optical network ( PON ) employing wavelength-division multiplexing ( WDM ) and optical code-division multiple access ( OCDMA ) techniques . A judicious resource allocation scheme is proposed for a given set of optical codes and wavelengths with due consideration to the traffic asymmetry between upstream and downstream transmissions .
In this paper we examine the resource provisioning aspects in a passive optical network ( PON ) employing wavelength-division multiplexing ( WDM ) and optical code-division multiple access ( OCDMA ) techniques . A judicious resource allocation scheme is proposed for a given set of optical codes and wavelengths with due consideration to the traffic asymmetry between upstream and downstream transmissions .
ingperformance . Experiments canbetime-consuming and System administrators often complain that default setexpensive , soonly alimited numberofexperiments canbe tings ofconfiguration parameters areprovided withvery doneeveninsystems withhundreds ofconfiguration pa- simple workloads andresource provisioning inmind[6 ] . rameters .
The QoS encompasses different parameters , like , smart job allocation strategy , efficient load balancing , response time optimization , reduction in wastage of bandwidth , accountability of the overall system , etc . The efficient allocation strategy of the independent computational jobs among different Virtual Machines ( VM ) in a Datacenter ( DC ) is a distinguishable challenge in the Cloud Computing domain and finding out an optimal job allocation strategy guided by a good scheduling heuristic for such an environment is an Mape-k loop problem . So different heuristic approaches may be used for better result and in this work we implement worst fit in Mape-k and evaluated the results .
New research issues , challenges and opportunities shaping the future agenda in the field of Big Data and Cloud Computing are identified and presented throughout the book , which is intended for researchers , scholars , students , software developers and practitioners working at the forefront in their field . This book acts as a platform for exchanging ideas , setting questions for discussion , and sharing the experience in Big Data and Cloud Computing domain .
Meta XA is based on an event-driven architecture combined with the complex event processing technology . In this paper , we propose an approach to bringing Meta XA into the cloud computing domain , without having to change its architecture .
The invention relates to the dynamic resource scheduling technique in the cloud computing field , and provides a cloud computing dynamic resource scheduling method based on the feedback and a prediction mechanism . The method aims to overcome the defects of the cloud computing resource distribution and scheduling technique in the prior art , and can achieve balance use of various computer resources in a cloud computing environment , obtain satisfactory load balance under small pay expenses and improve comprehensive efficiency of system scheduling .
These types of concerns originate from the fact that data is stored remotely from the customer 's location ; in fact , it can be stored at any location . Security , in particular , is one of the most argued-about issues in the cloud computing field ; several enterprises look at cloud computing warily due to projected security risks . The risks of compromised security and privacy may be lower overall , however , with cloud computing than they would be if the data were to be stored on individual machines instead of in a so — called " cloud " ( the network of computers used for remote storage and maintenance ) .
cloud computing is one of the biggest innovative technology and it provides the facility of heavy data maintenance and management by improving data sharing and data storing capabilities . To create data management more scalable in cloud computing field , deduplication a well-known method of data compression to reduce duplicate copies of duplicate data in storage over a cloud . Regardless of the possibility that information deduplication brings a ton of preferences in security and protection concern happen as clients ' classified information are at risk to both assaults insider and pariah .
This leads to an uneven distribution of overall work on cloud resources . So a proper balance of overall load over the available resources is a major issue in cloud computing paradigm . Load balancing ensures that no single node will be overloaded and used to distribute workload among multiple nodes .
A Load Balancing Model Based on Cloud Partitioning for the Public Cloud UACS: Towards unified access control services Main Components of Cloud Computing Enabling Trusted Data-intensive execution in cloud computing Cloud Computing and Standardization of Cloud Computing Implementation:Review and Exploration Disruptive technologies: a business model perspective on cloud computing Novel visual content summarization in videos using keyframe extraction with Thepade's Sorted Ternary Block truncation Coding and Assorted similarity measures A reliable password-based user authentication scheme for Web-based Human Genome Database System Electron trapping optical data storage system and applications Design of Wearable Gadgets for Life-Log Service based on UTC XML OLAP cube in the cloud: Towards the DWaaS Software Support for a Video-Digital Data Acquisition System Web Crawling and Data Mining with Apache Nutch Analysis and Review of Load Balancing in Grid Computing using Artificial Bee Colony Flashing in the Cloud The Rise of the Birds Implementation of an ultrasonic imaging system using a 64 K microcomputer Query Aware Determinization of Uncertain Objects by Indexing On the use of cloud computing for big data mining Flash Memory SSD Based Data Management for Data Warehouses and Data Marts A Recording Meter for the Sailboat Attitude Based on a Singlechip Microcomputer Policy Management Standards Enabling Trustworthy pHealth. Design and validation of a trust-based opportunity-enabled risk management system The Research and Scheme of J2EE Based Access Decision Services Initial discussion on Windows 2000's security MagicNET : Security Architecture for Authorization of Mobile Agents Technical Review On Secure Banking Using RSA And AES Encryptor Methodologies A System of USB Access Control and Data Security A remote data disaster recovery system model based on Undo Security problems for statistical databases with general cell suppressions Location dependent key management schemes supported by random selected cell reporters in wireless sensor networks Microcomputer Security and Control: Six Inexpensive and Simple Techniques Data Security Enhancement Through Number System: A Turing-Machine Approach A People & Purpose Approach to Humanitarian Data Information Security and Privacy Anti-fuse PROM Rethinking De-Perimeterisation: Problem Analysis And Solutions Oracle Database Security Software Security Vulnerabilities in Mobile Peer-To-Peer Environment Web authentication methods using single sign on method and virtual keyboard Understanding Security Practices Deficiencies: A Contextual Analysis Comparative Analysis of VM Scheduling Algorithms in Cloud Environment Cloud Computing Management and Synchronization Tools Load Distribution and Balancing over Cloud using Cloud Partitioning Benefits of cloud computing for PACS and archiving. Ad-hoc data processing in the cloud Comprehensive design methodology for control and data planes in wavelength-routed optical networks ON-DEMAND OPTIMUM RESOURCE PROVISIONING ON CLOUD A Game-Based Price Bidding Algorithm for Multi-attribute Cloud Resource Provision MEE: A Hybrid Cloud Management Solution with Data Governance Method Cost-Efficient Resource Provisioning in Cloud Assisted Mobile Edge Computing Resource provisioning for highly reliable and ultra-responsive edge applications Towards Supporting Security and Privacy for Social IoT Applications: A Network Virtualization Perspective A heuristic approach for designing hybrid PONs employing WDM and OCDMA with asymmetric traffic distribution Resource provisioning through traffic-aware code allocation in a hybrid PON employing WDM and OCDMA Finding GoodConfiguratlions 'in High-Dimensional Spaces: Doinlg MorewithLess Proactive framework for energy efficient job scheduling in cloud computing Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC - 16') Cloud-Based Notification Distribution Cloud computing dynamic resource scheduling system and method Cloud computing security threats and responses Effective Data De-Duplication and Secure Auditing In Cloud A study on load balancing in cloud computing environment using evolutionary and swarm based algorithms
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ISSPIT CNS NCM SSDBM HAISA GLOBECOM CloudNet Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16’) MOBILESoft
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