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• W2182649857 abstract "of the Thesis Performance Evaluation of a Resource Discovery Service by Jue Wang Master of Science in Computer Science Dartmouth College, Hanover, NH October, 2004 Professor David Kotz, Chair 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 resourcediscovery 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." @default.
• W2182649857 created "2016-06-24" @default.
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• W2182649857 date "2004-01-01" @default.
• W2182649857 modified "2023-09-27" @default.
• W2182649857 title "Performance Evaluation of a Resource Discovery Service" @default.
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• W2182649857 hasPublicationYear "2004" @default.
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