Hierarchically distributed peer-to-peer architecture for load balancing and effective dynamic group scheduling in grid computing
by S. Gomathi; D. Manimegalai
International Journal of Business Information Systems (IJBIS), Vol. 32, No. 3, 2019

Abstract: The local or remote grid computing resources have been normally assigned the task of executing user jobs in a distributed environment. An important factor affecting grid processing is the network bandwidth that differs from network to network. In order to overcome this problem, a few typical algorithms are suggested keeping in view of computing grid resources based on load balancing across the grid system. These algorithms help in improving the performance to some extent, yet none of them has been found experimentally suitable to overcome the major short falls experienced in the grid computing system. A hierarchically distributed peer-to-peer (HDP2P) architecture is proposed to overcome all major problems encountered due to virtuality and heterogeneity. Results suggested that HDP2P architecture was of great use in balancing the load and allocating to the resources to the groups of jobs keeping MIPS accountability using grouping-based dynamic job scheduling algorithm (GBDJS). The proposed algorithm is compared with first come first served (FCFS) job scheduling algorithm and ant colony optimisation (ACO). There is a considerable improvement achieved in performance by using this novel architecture.

Online publication date: Tue, 15-Oct-2019

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 Business Information Systems (IJBIS):
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