By Topic

GridEye: A Service-oriented Grid Monitoring System with Improved Forecasting Algorithm

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)
Wei Fu ; National University of Defense Technology, China ; Qian Huang

In dynamic and autonomic grid environment, monitoring of heterogonous resources is critical for performance analysis & tuning, job scheduling, fault detection & diagnosis and so on. Existing researches are always limited at either inter-operation or introducing too much intrusive overhead. GridEye is a novel service-oriented monitoring system with a flexible, scalable architecture. An open, extendable information schema is adopted to standardize data contents and Web service interfaces are employed to provide inter-operative ability for different grid system. Furthermore, an improved forecasting algorithm is provided for precise performance prediction on the basic of traditional MA (k) and ExS(alpha) models. Experiments proved that GridEye introduces very little overhead while providing good capabilities. It is also indicated that the algorithm can promote the precision of prediction

Published in:

2006 Fifth International Conference on Grid and Cooperative Computing Workshops

Date of Conference:

Oct. 2006