Performance Evaluation of a Resource Discovery Service


Jue Wang. Performance Evaluation of a Resource Discovery Service. Master's thesis, Dartmouth College Computer Science, Hanover, NH, October 2004. ©Copyright Jue Wang. Available as Dartmouth Computer Science Technical Report TR2004-513.


In a pervasive computing environment, the number and variety of resources (services, devices, and contextual information resources) make it necessary for applications to accurately discover the best ones quickly. Thus a resource-discovery service, which locates specific resources and establishes network connections as better resources become available, is necessary for those applications. The performance of the resource-discovery service is important when the applications are in a dynamic and mobile environment. In this thesis, however, we do not focus on the resource-discovery technology itself, but the evaluation of the scalability and mobility of the resource discovery module in Solar, a context fusion middleware. Solar has a naming service that provides resource discovery, since the resource names encode static and dynamic attributes. The results of our experiments show that Solar’s resource discovery performed generally well in a typical dynamic environment, although Solar can not be scaled as well as it should. And we identify the implementation issues related to that problem. We also discuss experience, insights, and lessons learned from our quantitative analysis of the experiment results.

Citable with [BibTeX]

Projects: [solar]

Keywords: [context-aware]

Available from the publisher: [page]

Available from the author: [bib]
Please obtain a copy from the publisher.

[Kotz research]