A simulation framework for energy efficient data grids

Ziliang Zong, Xiao Qin, Xiaojun Ruan, Kiranmai Bellam, Yiming Yang, Adam Manzanares

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.