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Adaptive Load-Balancing Algorithms Using Symmetric Broadcast NetworksIn a distributed-computing environment, it is important to ensure that the processor workloads are adequately balanced. Among numerous load-balancing algorithms, a unique approach due to Dam and Prasad defines a symmetric broadcast network (SBN) that provides a robust communication pattern among the processors in a topology-independent manner. In this paper, we propose and analyze three novel SBN-based load-balancing algorithms, and implement them on an SP2. A thorough experimental study with Poisson-distributed synthetic loads demonstrates that these algorithms are very effective in balancing system load while minimizing processor idle time. They also compare favorably with several other existing load-balancing techniques. Additional experiments performed with real data demonstrate that the SBN approach is effective in adaptive computational science and engineering applications where dynamic load balancing is extremely crucial.
Document ID
20020046822
Acquisition Source
Ames Research Center
Document Type
Other
Authors
Das, Sajal K.
(University of North Texas Denton, TX United States)
Biswas, Rupak
(MRJ Technology Solutions, Inc. Moffett Field, CA United States)
Chancellor, Marisa K.
Date Acquired
September 7, 2013
Publication Date
January 1, 1997
Subject Category
Numerical Analysis
Report/Patent Number
NAS-97-014
Report Number: NAS-97-014
Funding Number(s)
CONTRACT_GRANT: NAS2-14303
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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