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Authors: Masaki Samejima ; Ha Tuan Minh and Norihisa Komoda

Affiliation: Osaka University, Japan

Keyword(s): Peak Shaving, Data Center Management, Application Resource Usage, Regression Analysis.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Methodologies and Technologies ; Operational Research ; Requirements Analysis And Management ; Simulation

Abstract: We address the peak shaving of the electricity consumption in the data center. The conventional peak shaving method is “power capping” that limits the electricity consumption by all the applications in the server. In order to shave the peak of only the unimportant applications, we propose the flexible peak shaving by suppression of application resource usage. By monitoring the resource usage of all the applications, the proposed method decides how much the electricity consumption should be decreased with multiple regression analysis on the linear model between the electricity consumption and the CPU usage. As preliminary investigation, we constructed the linear model with using the observed values of the power consumption and CPU usage on the actual servers.

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Paper citation in several formats:
Samejima, M.; Tuan Minh, H. and Komoda, N. (2014). Flexible Peak Shaving in Data Center by Suppression of Application Resource Usage. In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-028-4; ISSN 2184-4992, SciTePress, pages 355-360. DOI: 10.5220/0004939503550360

@conference{iceis14,
author={Masaki Samejima. and Ha {Tuan Minh}. and Norihisa Komoda.},
title={Flexible Peak Shaving in Data Center by Suppression of Application Resource Usage},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2014},
pages={355-360},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004939503550360},
isbn={978-989-758-028-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Flexible Peak Shaving in Data Center by Suppression of Application Resource Usage
SN - 978-989-758-028-4
IS - 2184-4992
AU - Samejima, M.
AU - Tuan Minh, H.
AU - Komoda, N.
PY - 2014
SP - 355
EP - 360
DO - 10.5220/0004939503550360
PB - SciTePress

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