By Topic

Enabling Autonomic Meta-Scheduling in Grid Environments

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

8 Author(s)
Yanbin Liu ; IBM Watson Res. Center, Hawthorne, NY ; Sadjadi, S.M. ; Liana Fong ; Rodero, I.
more authors

Grid computing supports workload execution on computing resources that are shared across a set of collaborative organizations. At the core of workload management for grid computing is a software component, called meta-scheduler or grid resource broker, that provides a virtual layer on top of heterogeneous grid middleware, schedulers, and resources. Meta-schedulers typically enable end-users and applications to compete over distributed shared resources through the use of one or more instances of the same meta-scheduler, in a centralized or distributed manner, respectively. We propose an approach to enabling autonomic meta-scheduling through the use of a new communication protocol that -if adopted by different meta-schedulers or by the applications using them- can improve the workload execution while avoiding potential chaos, which can be resulted from blind competition over resources. This can be made possible by allowing the meta- schedulers and/or their applications to engage in a process to negotiate their roles (e.g., consumer, provider, or both), scheduling policies, service-level agreement, etc. To show the feasibility of our approach, we developed a prototype that enables some preliminary autonomic management among three different meta-schedulers, namely, GridWay, eNANOS, andTDWB.

Published in:

Autonomic Computing, 2008. ICAC '08. International Conference on

Date of Conference:

2-6 June 2008