Adriano, Christian (1)
Bleifuss, Tobias (1)
Bleifuß, Tobias (1)
Bornemann, Leon (1)
Cheng, Lung-Pan (1)
Diba, Kiarash (1)
Fricke, Andreas (1)
Grapentin, Andreas (1)
Jiang, Lan (1)
Adriano, Christian ; Bleifuß, Tobias ; Cheng, Lung-Pan ; Diba, Kiarash ; Fricke, Andreas ; Grapentin, Andreas ; Jiang, Lan ; Kovacs, Robert ; Krejca, Martin Stefan ; Mandal, Sankalita ; Marwecki, Sebastian ; Matthies, Christoph ; Mattis, Toni ; Niephaus, Fabio ; Pirl, Lukas ; Quinzan, Francesco ; Ramson, Stefan ; Rezaei, Mina ; Risch, Julian ; Rothenberger, Ralf ; Roumen, Thijs ; Stojanovic, Vladeta ; Wolf, Johannes
Design and Implementation of service-oriented architectures imposes a huge number of research questions from the fields of software engineering, system analysis and modeling, adaptability, and application integration. Component orientation and web services are two approaches for design and realization of complex web-based system. Both approaches allow for dynamic application adaptation as well as integration of enterprise application. Commonly used technologies, such as J2EE and .NET, form de facto standards for the realization of complex distributed systems. Evolution of component systems has lead to web services and service-based architectures. This has been manifested in a multitude of industry standards and initiatives such as XML, WSDL UDDI, SOAP, etc. All these achievements lead to a new and promising paradigm in IT systems engineering which proposes to design complex software solutions as collaboration of contractually defined software services. Service-Oriented Systems Engineering represents a symbiosis of best practices in object-orientation, component-based development, distributed computing, and business process management. It provides integration of business and IT concerns. The annual Ph.D. Retreat of the Research School provides each member the opportunity to present his/her current state of their research and to give an outline of a prospective Ph.D. thesis. Due to the interdisciplinary structure of the research school, this technical report covers a wide range of topics. These include but are not limited to: Human Computer Interaction and Computer Vision as Service; Service-oriented Geovisualization Systems; Algorithm Engineering for Service-oriented Systems; Modeling and Verification of Self-adaptive Service-oriented Systems; Tools and Methods for Software Engineering in Service-oriented Systems; Security Engineering of Service-based IT Systems; Service-oriented Information Systems; Evolutionary Transition of Enterprise Applications to Service Orientation; Operating System Abstractions for Service-oriented Computing; and Services Specification, Composition, and Enactment.
Exploring Change (2018)
Bleifuss, Tobias ; Bornemann, Leon ; Johnson, Theodore ; Kalashnikov, Dmitri ; Naumann, Felix ; Srivastava, Divesh
Data and metadata in datasets experience many different kinds of change. Values axe inserted, deleted or updated; rows appear and disappear; columns are added or repurposed, etc. In such a dynamic situation, users might have many questions related to changes in the dataset, for instance which parts of the data are trustworthy and which are not? Users will wonder: How many changes have there been in the recent minutes, days or years? What kind of changes were made at which points of time? How dirty is the data? Is data cleansing required? The fact that data changed can hint at different hidden processes or agendas: a frequently crowd-updated city name may be controversial; a person whose name has been recently changed may be the target of vandalism; and so on. We show various use cases that benefit from recognizing and exploring such change. We envision a system and methods to interactively explore such change, addressing the variability dimension of big data challenges. To this end, we propose a model to capture change and the process of exploring dynamic data to identify salient changes. We provide exploration primitives along with motivational examples and measures for the volatility of data. We identify technical challenges that need to be addressed to make our vision a reality, and propose directions of future work for the data management community.