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A Workflow Scheduling Algorithm for Optimizing Energy-Efficient Grid Resources Usage

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3 Author(s)
Coutinho, F. ; COPPE-Grad. Sch. & Res. in Eng., UFRJ-Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil ; de Carvalho, L.A.V. ; Santana, R.

Grid computing represents the main solution to integrate distributed and heterogeneous resources in global scale. However, the infrastructure necessary for maintaining a global grid in production is huge. Such fact has led to excessive power consumption. On the other hand, most green strategies for data centers are DVS (Dynamic Voltage Scaling)-based and become difficult to implement them in global grids. This paper proposes the HGreen heuristic (Heavier Tasks on Maximum Green Resource) and defines a workflow scheduling algorithm in order to implement it on global grids. HGreen algorithm aims to prioritize energy-efficient resources and explores workflow application profiles. Simulation results have shown that the proposed algorithm can significantly reduce the power consumption in global grids.

Published in:

Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on

Date of Conference:

12-14 Dec. 2011