Article in Proceedings INPROC-2005-03

BibliographyGrossmann, Matthias; Bauer, Martin; Hönle, Nicola; Käppeler, Uwe-Philipp; Nicklas, Daniela; Schwarz, Thomas: Efficiently Managing Context Information for Large-scale Scenarios.
In: Proceedings of the 3rd IEEE Conference on Pervasive Computing and Communications: PerCom2005; Kauai Island, Hawaii, March 8-12, 2005.
University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems).
english.
IEEE Computer Society, March 2005.
Article in Proceedings (Conference Paper).
CR-SchemaH.3.0 (Information Storage and Retrieval General)
H.3.4 (Information Storage and Retrieval Systems and Software)
Abstract

In this paper, we address the data management aspect of large-scale pervasive computing systems. We aim at building an infrastructure that simultaneously supports many kinds of context-aware applications, ranging from room level up to nation level. This allembracing approach gives rise to synergetic benefits like data reuse and sensor sharing. We identify major classes of context data and detail on their characteristics relevant for efficiently managing large amounts of it. Based on that, we argue that for large-scale systems it is beneficial to have special-purpose servers that are optimized for managing a certain class of context data. In the Nexus project we have implemented five servers for different classes of context data and a very flexible federation middleware integrating all these servers. For each of them, we highlight in which way the requirements of the targeted class of data are tackled and discuss our experiences.

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Contactmatthias.grossmann@informatik.uni-stuttgart.de
Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
University of Stuttgart, Institute of Parallel and Distributed Systems, Image Understanding
University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
Project(s)SFB-627, A2 (University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems)
SFB-627, B1 (University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems)
SFB-627, B3 (University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems)
SFB-627, C3 (University of Stuttgart, Institute of Parallel and Distributed Systems, Image Understanding)
Entry dateNovember 12, 2004
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