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Authors: Eduardo Roloff ; Matthias Diener ; Luciano P. Gaspary and Philippe O. A. Navaux

Affiliation: Federal University of Rio Grande do Sul, Brazil

Keyword(s): Cloud Computing, Cost Efficiency, Load Imbalance, Heterogeneity.

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%.

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Paper citation in several formats:
Roloff, E.; Diener, M.; Gaspary, L. and Navaux, P. (2018). Exploiting Load Imbalance Patterns for Heterogeneous Cloud Computing Platforms. In Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-295-0; ISSN 2184-5042, SciTePress, pages 248-259. DOI: 10.5220/0006807502480259

@conference{closer18,
author={Eduardo Roloff. and Matthias Diener. and Luciano P. Gaspary. and Philippe O. A. Navaux.},
title={Exploiting Load Imbalance Patterns for Heterogeneous Cloud Computing Platforms},
booktitle={Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER},
year={2018},
pages={248-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006807502480259},
isbn={978-989-758-295-0},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER
TI - Exploiting Load Imbalance Patterns for Heterogeneous Cloud Computing Platforms
SN - 978-989-758-295-0
IS - 2184-5042
AU - Roloff, E.
AU - Diener, M.
AU - Gaspary, L.
AU - Navaux, P.
PY - 2018
SP - 248
EP - 259
DO - 10.5220/0006807502480259
PB - SciTePress

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