Referenced Items are not available for this document.
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
- Page(s):
- 642 - 649
- Print ISBN:
- 978-1-4673-0006-3
- INSPEC Accession Number:
- 12525964
- Conference Location :
- Sydney, NSW
- Digital Object Identifier :
- 10.1109/DASC.2011.115
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
