By Topic

Grid Performance Prediction: Requirements, Framework, and Models

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)
Nadeem, F. ; Inst. of Comput. Sci., Innsbruck Univ. ; Yousaf, M.M. ; Ali, M.

Grid performance prediction (GPP) is critical for grid middleware component services and grid (middleware) users to make optimized grid resource usage decisions to meet QoS requirements committed in SLAs. Other sophisticated concepts in grid like multi-criteria scheduling, grid capacity planning, and grid advance reservation are also dependant on GPP. GPP spreads over all levels of grid resources in multiple dimensions. We explore it at different coarse grain levels to discover the most wanted grid performance prediction needs of different human and service clients of grid and/or grid services, and present a comprehensive grid performance prediction framework to support at fine grain levels. We also provide a broad architecture of ALP (application level prediction) and NLP (network level prediction) for our grid middleware

Published in:

Emerging Technologies, 2006. ICET '06. International Conference on

Date of Conference:

13-14 Nov. 2006