A simulation framework for energy efficient data grids

Authors:
Ziliang Zong;Xiao Qin;Xiaojun Ruan;Kiranmai Bellam;Yiming Yang;Adam Manzanares
Affiliations:
Auburn University, AL;Auburn University, AL;Auburn University, AL;Auburn University, AL;Intel Corporation, Rio Rancho, NM;Auburn University, AL
Venue:
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Year:
2007

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Abstract

High performance data grids are increasingly becoming popular platforms to support data-intensive applications. Reducing high energy consumption caused by data grids is a challenging issue. Most previous studies in grid computing focused on performance and reliability without taking energy conservation into account. As such, designing energy-efficient data grid systems became highly desirable. In this paper, we proposed a framework to simulate energy-efficient data grids. We presented an approach to integrate energy-aware allocation strategies into energy-efficient data grids. Our framework aims at simulating a data grid that can conserve energy for data-intensive applications running on data grids.