A Scheduling Strategy for Global Scientific Grids - Minimizing Simultaneously Time and Energy Consumption

Fábio Coutinho, Leizer L. Pinto, Cláudio T. Bornstein

Abstract

Grid computing has consolidated itself as a solution able of integrating, on a global scale, heterogeneous resources distributed geographically. This fact has contributed significantly to increase the IT infrastructure. However, all this computer power results in a lot of energy consumption, raising concerns not only with respect to economic aspects, but also regarding environmental impacts. Current data shows that the information technology and communication industry has been responsible for 2% of the carbon dioxide global emission, equivalent to the entire aviation industry. This paper proposes a biobjective strategy for resource allocation on global scientific grids, considering both energy consumption and execution times. An algorithm is presented which generates the minimal complete set of Pareto-optimal solutions in polynomial time. Computation experience is reported for three distinct scenarios.

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Paper Citation


in Harvard Style

Coutinho F., L. Pinto L. and T. Bornstein C. (2013). A Scheduling Strategy for Global Scientific Grids - Minimizing Simultaneously Time and Energy Consumption . In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: SSOS, (ICEIS 2013) ISBN 978-989-8565-59-4, pages 545-553. DOI: 10.5220/0004619905450553


in Bibtex Style

@conference{ssos13,
author={Fábio Coutinho and Leizer L. Pinto and Cláudio T. Bornstein},
title={A Scheduling Strategy for Global Scientific Grids - Minimizing Simultaneously Time and Energy Consumption},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: SSOS, (ICEIS 2013)},
year={2013},
pages={545-553},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004619905450553},
isbn={978-989-8565-59-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: SSOS, (ICEIS 2013)
TI - A Scheduling Strategy for Global Scientific Grids - Minimizing Simultaneously Time and Energy Consumption
SN - 978-989-8565-59-4
AU - Coutinho F.
AU - L. Pinto L.
AU - T. Bornstein C.
PY - 2013
SP - 545
EP - 553
DO - 10.5220/0004619905450553