By Topic

Energy-efficient elastic scheduling in heterogeneous computing systems

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)
Xiaomin Zhu ; Sci. & Technol. on Inf. Syst. Eng. Lab., Nat. Univ. of Defense Technol., Changsha, China ; Chuan He ; Jianjiang Wang

Reducing energy consumption has become a major goal in designing modern heterogeneous computing systems. Conventional energy-efficient scheduling strategies developed on this kind of systems mainly focus on energy saving, lacking of the consideration of users' expectations such as expected finish time. Again, the system elasticity is not sufficiently taken into account while making scheduling decisions. In this paper, we develop a novel scheduling strategy named energy-efficient elastic (3E) scheduling for aperiodic, and independent tasks on DVS-enabled heterogeneous computing systems. The 3E strategy concentrates on adjusting tasks' supply voltages according to the system workload, thereby making the best trade-offs between energy conservation and users' expected finish times. Experimental results demonstrate that our 3E significantly improves the scheduling quality of the others, and is able to effectively enhance the system elasticity.

Published in:

Performance Computing and Communications Conference (IPCCC), 2011 IEEE 30th International

Date of Conference:

17-19 Nov. 2011