Engineering Pluripotent Information Systems
Download: RCIS08.
Authors: Ivan J. Jureta, Stephane Faulkner, Jean Vanderdonckt.
Publication: Proceedings of the Second IEEE International Conference on Research Challenges in Information Science, RCIS 2008, Marrakech, Morocco.
Abstract. A pluripotent information system is an open and distributed information system that (i) automatically adapts at runtime to changing operating conditions, and (ii) satisfies both the requirements anticipated at development time, and those unanticipated before but relevant at runtime. Engineering pluripotency into an information system therefore responds to two recurring critical issues: (i) the need for adaptability given the uncertainty in a system’s operating environment, and (ii) the difficulty to fully anticipate and account for all possible stakeholders’ requirements at development time and respond to the change of requirements at runtime. We draw on our group’s research efforts over the last two years to show and discuss how pluripotency can be engineered into information systems.
Dynamic Web Service Composition within a Service-Oriented Architecture
Download: ICWS07 . Citation (bibtex) . Publisher’s version .
Authors: Ivan J. Jureta, Stephane Faulkner, Youssef Achbany, Marco Saerens.
Publication: Proceedings of the 2007 IEEE International Conference on Web Services (ICWS 2007), Salt Lake City, Utah.
Abstract. Increasing automation requires open, distributed, service-oriented systems capable of multicriteria-driven, dynamic adaptation for appropriate response to changing operating conditions. We combine a simple architecture with a novel algorithm to enable openness, distribution, and multi-criteria-driven service composition at runtime. The service-oriented architecture involves mediator web services coordinating other web services into compositions necessary to fulfil user requests. By basing mediator services’ behavior on a novel multicriteria-driven (including quality of service, deadline, reputation, cost, and user preferences) reinforcement learning algorithm, which integrates the exploitation of acquired knowledge with optimal, undirected, continual exploration, we ensure that the system is responsive to changes in the availability of web services. The reported experiments indicate the algorithm behaves as expected and outperforms two standard approaches.
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Recently published research
- Essays in Information Management: Contributions to the Modeling and Analysis of Quality in Information Systems Engineering
- Engineering Pluripotent Information Systems
- Towards More Realistic Assumptions about Organizations in Goal-Oriented Requirements Engineering Frameworks
- Clear Justification of Modelling Decision for Goal-Oriented Requirements Engineering
- Dynamic Requirements Specification for Adaptable and Open Service Systems
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Suggested reading
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About Ivan
Ivan Jureta currently does scientific research at the intersection of management science, microeconomics, and information systems engineering. Apart his two MSc degrees, one from the University of Louvain and the other from the London School of Economics, he holds a PhD in economics and management from the University of Namur, where he is with the Department of Business Administration. He lives and works primarily between Belgium and Western Balkans. He is the author or coauthor of some 30 peer-reviewed scientific publications. He lectured about his work at various international conferences and universities, including for instance the University of Trento and Carnegie Mellon University.