Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Green Task Scheduling Algorithms with Speeds Optimization on Heterogeneous Cloud Servers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Luna Mingyi Zhang ; Center for Adv. Studies in Sci., Math & Technol., Wheeler High Sch., Marietta, GA, USA ; Keqin Li ; Yan-Qing Zhang

Currently, a large number of cloud computing servers waste a tremendous amount of energy and emit a considerable amount of carbon dioxide. Thus, it is necessary to significantly reduce pollution and substantially lower energy usage. This paper seeks to implement six innovative green task scheduling algorithms that have two main steps: assigning as many tasks as possible to a cloud server with lowest energy, and setting the same optimal speed for all tasks assigned to each cloud server. A newly proven theorem can determine the optimal speed for all tasks assigned to a computer. These novel green algorithms are developed for heterogeneous cloud servers with adjustable speeds and parameters to effectively reduce energy consumption and finish all tasks before a deadline. Based on sufficient simulations, three green algorithms that allocate a task to a cloud server with minimum energy are more effective than three others that assign a task to a randomly selected cloud server. Sufficient simulation results indicate that the best algorithm among the six algorithms is Shortest Task First for Computer with Minimum Energy algorithm.

Published in:

Green Computing and Communications (GreenCom), 2010 IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom)

Date of Conference:

18-20 Dec. 2010