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Authors: Fábio Coutinho 1 ; Leizer L. Pinto 2 and Cláudio T. Bornstein 3

Affiliations: 1 Brazilian Center for Physics Research – CBPF and Federal University of Alagoas, Brazil ; 2 Federal University of Goias, Brazil ; 3 Federal University of Rio de Janeiro - UFRJ, Brazil

Keyword(s): Grid Computing, Grid Scheduling, Green Computing, Multiobjective Optimization.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 (ICEIS 2013) - Volume 3: SSOS; ISBN 978-989-8565-59-4; ISSN 2184-4992, SciTePress, pages 545-553. DOI: 10.5220/0004619905450553

@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 (ICEIS 2013) - Volume 3: SSOS},
year={2013},
pages={545-553},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004619905450553},
isbn={978-989-8565-59-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems (ICEIS 2013) - Volume 3: SSOS
TI - A Scheduling Strategy for Global Scientific Grids - Minimizing Simultaneously Time and Energy Consumption
SN - 978-989-8565-59-4
IS - 2184-4992
AU - Coutinho, F.
AU - L. Pinto, L.
AU - T. Bornstein, C.
PY - 2013
SP - 545
EP - 553
DO - 10.5220/0004619905450553
PB - SciTePress