Exploiting load imbalance patterns for heterogeneous cloud computing platforms

Eduardo Roloff, Matthias Diener, Luciano P. Gaspary, Philippe O.A. Navaux

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cloud computing providers offer a variety of instance sizes, types, and configurations that have different prices but can interoperate. As many parallel applications have heterogeneous computational demands, these different instance types can be exploited to reduce the cost of executing a parallel application while maintaining an acceptable performance. In this paper, we perform an analysis of load imbalance patterns with an intentionally-imbalanced artificial benchmark to discover which patterns can benefit from a heterogeneous cloud system. Experiments with this artificial benchmark as well as applications from the NAS Parallel Benchmark suite show that the price of executing an imbalanced application can be reduced substantially on a heterogeneous cloud for a variety of imbalance patterns, while maintaining acceptable performance. By using a heterogeneous cloud, cost efficiency was improved by up to 63%, while performance was reduced by less than 7%.

Original languageEnglish (US)
Title of host publicationCLOSER 2018 - Proceedings of the 8th International Conference on Cloud Computing and Services Science
EditorsVictor Mendez Munoz, Donald Ferguson, Markus Helfert, Claus Pahl
PublisherSciTePress
Pages248-259
Number of pages12
ISBN (Electronic)9789897582950
DOIs
StatePublished - 2018
Externally publishedYes
Event8th International Conference on Cloud Computing and Services Science, CLOSER 2018 - Funchal, Madeira, Portugal
Duration: Mar 19 2018Mar 21 2018

Publication series

NameCLOSER 2018 - Proceedings of the 8th International Conference on Cloud Computing and Services Science
Volume2018-January

Conference

Conference8th International Conference on Cloud Computing and Services Science, CLOSER 2018
Country/TerritoryPortugal
CityFunchal, Madeira
Period3/19/183/21/18

Keywords

  • Cloud computing
  • Cost efficiency
  • Heterogeneity
  • Load imbalance

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Software
  • Computer Science Applications

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