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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.
Bibliographic citation for this report: [plain text] [BIB] [BibTeX] [Refer]
Or copy and paste:
Jue Wang, "Performance Evaluation of a Resource Discovery Service." Dartmouth Computer Science Technical Report TR2004-513, October, 2004.
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