By Topic

Dynamic load balancing with “work stealing” for distributed shared memory clusters

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
$33 $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

2 Author(s)
Tripathy, M. ; Sambalpur Univ., Sambalpur, India ; Tripathy, C.R.

In distributed shared memory cluster environment, the dynamic load balancing is a very critical issue. Various techniques are used in order to distribute the load dynamically among different nodes. A good balancing scheme needs to evenly distribute the workload among the available processors and locate the tasks close to their data so as to reduce the communication and execution time. In this work, we investigate "work stealing" on distributed shared memory clusters. We propose a dynamic load balancing model with "work stealing" which intelligently balances the load among different nodes resulting in efficient use of system. The "work stealing" typically completes the tasks more than twice as quickly, despite being allotted the same or fewer processors. "Work stealing" consistently provides higher utilization when many jobs with varying characteristics are using the same distributed shared memory cluster system.

Published in:

Industrial Electronics, Control & Robotics (IECR), 2010 International Conference on

Date of Conference:

27-29 Dec. 2010