Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 5:00 PM ET (12:00 - 21:00 UTC). We apologize for the inconvenience.
By Topic

Enhanced Adaptive Scheduling for the Grid Harvest Service

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)
Wushou Sliamu ; Coll. of Inf. Sci. & Eng., Xinjiang Univ., Urumqi, China ; Yong Hou ; Cao, Junwei

Grid technology and applications become mainstream distributed computing research in recent years. The grid harvest service, GHS, is one of non-dedicated computing grid scheduling systems; it has been widely used in grid research field. The contribution of GHS is providing appropriate prediction for long-term applications different from AppLes which is designed for short-term predictions. GHS maps metatasks using the min-min algorithm in a uniform log-term application. Min-min is a highly efficient algorithm in an uniform workload environment that leads to load unbalance and low performance when the workload is not uniform. In order to solve the problem, a novel task scheduling algorithm is proposed in this work, which is an adaptive task scheduling algorithm based on min-min and max-min (A-MM). A-MM merges the high efficiency of traditional min-min scheduling with load balance of traditional max-min scheduling. The simulation and experimental result show that A-MM has better performance and scalability than the min-min of GHS.

Published in:

Software Engineering, 2009. WCSE '09. WRI World Congress on  (Volume:1 )

Date of Conference:

19-21 May 2009