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CPPA 2010 : The First International Workshop on Context Prediction and Proactive Adaptation in Pervasive Computing Systems | |||||||||||||||
Link: http://cppa.uni-mannheim.de | |||||||||||||||
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Call For Papers | |||||||||||||||
======== Aim and Scope ========
Context is one of the key characteristics of pervasive computing systems. Using the current context of users and/or devices, such systems adapt themselves automatically to provide better service quality. As an example, a system can detect which displays are in the users surrounding and switch an application's output to one of them. However, these systems are typically reactive, as they can only react to a given context change after it occurred. To really create seamless adaptive pervasive systems, the system must get beyond this restriction and become proactive. It must plan ahead and prepare for future context changes. This way, the system can, e.g., initiate the search for replacement devices before a device becomes unavailable. It can configure a room, e.g., adapting the light level, before the user enters it. And it can compute better system configurations that take into account not only the current state of the system but also when and how often this state will change, e.g., leading to more stable configurations. A major precondition for such proactive adaptive systems is prediction of the future context. Despite recent work, context prediction still faces a number of challenges, including a large number of information sources, high heterogeneity of data, the need to minimize the learning phase, and the need to work in real time. ======== Topics ======== This workshop addresses the following issues: 1. Context prediction algorithms. 2. Automated decision making, proactive adaptation algorithms. 3. Acting on predicted context. 4. Middleware and context management solutions for context prediction. 5. Middleware solutions and programming models for proactive adaptation. 6. Metrics for evaluating context prediction and proactive adaptation approaches. 7. Experiences and lessons learnt from built context prediction and/or proactive adaptation systems, including information about approaches that did and did not work as well as unexpected results. ======== Paper Submission ======== Authors are invited to submit original manuscripts written in English of no more than six pages in ACM double-column format. Submissions must cover one of the topics listed above and not under review elsewhere. All submissions will be peer-reviewed and selected based on their originality, merit, and relevance to the workshop. Paper submissions will be handled online. Accepted papers must be presented at the workshop and will be included in the ICPS proceedings and the ACM Digital Library. ======== Organizers ======== - Gregor Schiele, Universitaet Mannheim, Germany - Andrey Boytsov, Lulea University of Technology, Sweden ======== Technical Program Committee ======== - Patrick Brezillon, Univerisity Pierre et Marie Curie, Paris, France - Josef Hallberg, Lulea University of Technology, Sweden. - Carsten Jacob, Fraunhofer FOKUS, Germany - Daniele Riboni, University of Milano, Italy - Andreas Rieger, Technical University of Berlin, Germany - Kare Synnes, Lulea University of Technology, Sweden. - Verena Majuntke, Universitaet Mannheim, Germany - Claudio Venezia, Telecom Italia - Arkady Zaslavsky, Lulea University of Technology, Sweden |
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