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Trading Off Resource Utilization and Task Migrations in Dynamic Load-balancing

Published: 11 July 2015 Publication History

Abstract

This paper aims at investigating platform-independent measures to determine the efficiency of a load-balancer. Counterpoised curves are proposed as a mean to counterweight the utilization of resources with a penalty due to the migration of tasks. As a proof-of-concept, experiments were conducted on the sandpile load-balancer showing that its maximum counterpoised efficiency is reached at 80% of the peak performance of the system.

References

[1]
M. R. Garey and D. S. Johnson. Computers and Intractability; A Guide to the Theory of NP-Completeness. W. H. Freeman & Co., New York, NY, USA, 1990.
[2]
J. Laredo, P. Bouvry, F. Guinand, B. Dorronsoro, and C. Fernandes. The sandpile scheduler. Cluster Computing, 17(2):191--204, June 2014.
[3]
J. Laredo, B. Dorronsoro, J. Pecero, P. Bouvry, J. Durillo, and C. Fernandes. Designing a self-organized approach for scheduling bag-of-tasks. In P2P, Parallel, Grid, Cloud and Internet Computing, 2012 Seventh International Conference on, pages 315--320, Nov 2012.
[4]
P. Bak, C. Tang, and K. Wiesenfeld. Self-organized criticality: An explanation of the 1/f noise. Phys. Rev. Lett., 59:381--384, Jul 1987.

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cover image ACM Conferences
GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation
July 2015
1568 pages
ISBN:9781450334884
DOI:10.1145/2739482
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 11 July 2015

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Author Tags

  1. cellular automata
  2. online algorithms
  3. self-adaptation

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