Data-centric middleware for context-aware pervasive computing

Authors:
Guanling Chen;Ming Li;David Kotz
Affiliations:
Department of Computer Science, University of Massachusetts Lowell, Lowell, MA 01854, USA;Institute for Security Technology Studies (ISTS), Dartmouth College, Hanover, NH 03755, USA and Department of Computer Science, Dartmouth College, Hanover, NH 03755, USA;Institute for Security Technology Studies (ISTS), Dartmouth College, Hanover, NH 03755, USA and Department of Computer Science, Dartmouth College, Hanover, NH 03755, USA
Venue:
Pervasive and Mobile Computing
Year:
2008

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Abstract

The complexity of developing and deploying context-aware pervasive-computing applications calls for distributed software infrastructures that assist applications to collect, aggregate, and disseminate contextual data. In this paper, we motivate a data-centric design for such an infrastructure to support context-aware applications. Our middleware system, Solar, treats contextual data sources as stream publishers. The core of Solar is a scalable and self-organizing peer-to-peer overlay to support data-driven services. We describe how different services can be systematically integrated on top of the Solar overlay and evaluate the resource discovery and data-dissemination services. We also discuss our experience and lessons learned when using Solar to support several implemented scenarios. We conclude that a data-centric infrastructure is necessary to facilitate both the development and deployment of context-aware pervasive-computing applications.