Resource management policies to increase provider's gain in a cloud coalition
by Nassima Bouchareb; Nacer Eddine Zarour; Samir Aknine
International Journal of Grid and Utility Computing (IJGUC), Vol. 7, No. 3, 2016

Abstract: Cloud computing is a new trend after grids. The resource allocation in such dynamic environments presents numerous challenges. Unfortunately, the maximisation of accepted user's requests and at the same time the reduction of provider's costs are a conflicting problem. In this paper, we propose an agent-based mechanism to automatically manage cloud resources in order to simultaneously achieve the maximum of accepted requests with minimum cost and to reduce as much as possible the amount of energy consumption. We present new strategies that help in the decision-making process. These strategies increase provider's profit (forming or leaving coalitions, accepting or rejecting an offer and calculating the cloud trust). Finally, this paper presents a case study to illustrate our resource management mechanism in cloud computing. Also, simulation results indicate that the proposed policies enhance the provider's profit, and give a smaller number of rejected virtual machines requests in the coalition environment.

Online publication date: Mon, 07-Nov-2016

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 Grid and Utility Computing (IJGUC):
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