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Resource-Aware Distributed Stream Management Using Dynamic Overlays

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5 Author(s)
Kumar, Vibhore ; Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA ; Cooper, B.F. ; Zhongtang Cai ; Eisenhauer, G.
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We consider distributed applications that continuously stream data across the network, where data needs to be aggregated and processed to produce a 'useful' stream of updates. Centralized approaches to performing data aggregation suffer from high communication overheads, lack of scalability, and unpredictably high processing workloads at central servers. This paper describes a scalable and efficient solution to distributed stream management based on (1) resource-awareness, which is middleware-level knowledge of underlying network and processing resources; (2) overlay-based in-network data aggregation; and (3) high-level programming constructs to describe data-flow graphs for composing useful streams. Technical contributions include a novel algorithm based on resource-aware network partitioning to support dynamic deployment of data-flow graph components across the network, where efficiency of the deployed overlay is maintained by making use of partition-level resource-awareness. Contributions also include efficient middleware-based support for component deployment, utilizing runtime code generation rather than interpretation techniques, thereby addressing both high performance and resource-constrained applications. Finally, simulation experiments and benchmarks attained with actual operational data corroborate this paper's claims

Published in:

Distributed Computing Systems, 2005. ICDCS 2005. Proceedings. 25th IEEE International Conference on

Date of Conference:

10-10 June 2005

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