Dynamic meta-scheduling architecture based on monitoring in distributed systems
by Florin Pop, Ciprian Dobre, Corina Stratan, Alexandru Costan, Valentin Cristea
International Journal of Autonomic Computing (IJAC), Vol. 1, No. 4, 2010

Abstract: The scheduling process in large scale distributed systems (LSDS) became more important due to increases in the number of users and applications. This paper presents a dynamic meta-scheduling architecture model for LSDS based on monitoring. The dynamic scheduling process tries to perform task allocation on the fly as the application executes. The monitoring has an important role in this process because it can offer a full view of nodes in distributed systems. The proposed architecture is an agent framework and contains a grid monitoring service, an execution service and a discovery service. The performance of the used monitoring system, MonALISA, is very important for dynamic scheduling because it ensures the real-time process. The experimental results validate our architecture and scheduling model.

Online publication date: Wed, 15-Dec-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Autonomic Computing (IJAC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com