NDLI: Improved Bounds for Discrete Diffusive Load Balancing

Content Provider	IEEE Xplore Digital Library
Author	Adolphs, C.P.J. Berenbrink, P.
Copyright Year	2012
Abstract	In this paper we consider load balancing in a static and discrete setting where a fixed number of indivisible tasks have to be allocated to processors. We assume uniform tasks but the processors may have different speeds. The load of a processor is the number of tasks assigned to it divided by its speed. We consider diffusion load balancing which works in rounds. In every round the processors are allowed to compare their own load with the load of their neighbors and to balance the load with the neighbors, using their local information only. The question is how many rounds does it take until the whole processor network is balanced, meaning the load discrepancy (difference between maximum load and m/n) is minimized. Our balancing algorithm is deterministic and extends the algorithm studied in [1] from the case of uniform speeds to non-uniform speeds. We use a potential function argument to show that a better load balance can be obtained when the algorithm is allowed to run longer compared to the algorithm of [1].
Starting Page	820
Ending Page	826
File Size	682460
Page Count	7
File Format	PDF
ISBN	9781467309752
ISSN	15302075
DOI	10.1109/IPDPS.2012.78
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Load management Program processors Vectors Eigenvalues and eigenfunctions Protocols Convergence Load modeling reallocation load balancing distributed algorithms
Content Type	Text
Resource Type	Article

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