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2005
IEEE

Distributed Stream Management using Utility-Driven Self-Adaptive Middleware

3 years 10 months ago
Distributed Stream Management using Utility-Driven Self-Adaptive Middleware
We consider pervasive computing applications that process and aggregate data-streams emanating from highly distributed data sources to produce a stream of updates that have an implicit business-value. Middleware that enables such aggregation of data-streams must support scalable and efficient self-management to deal with changes in the operating conditions and should have an embedded business-sense. In this paper, we present a novel self-adaptation algorithm that has been designed to scale efficiently for thousands of streams and aims to maximize the overall business utility attained from running middleware-based applications. The outcome is that the middleware not only deals with changing network conditions or resource requirements, but also responds appropriately to changes in business policies. An important feature of the algorithm is a hierarchical nodepartitioning scheme that decentralizes reconfiguration and suitably localizes its impact. Extensive simulation experiments and ben...
Vibhore Kumar, Brian F. Cooper, Karsten Schwan
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICAC
Authors Vibhore Kumar, Brian F. Cooper, Karsten Schwan
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