Self-adaptive QoS-aware resource allocation and reservation management in virtualised environments
by Xiaoying Wang; Zhihui Du; Yuanyuan Xue; Lihua Fan; Rui Wang
International Journal of Computational Science and Engineering (IJCSE), Vol. 7, No. 4, 2012

Abstract: As cloud computing develops and enters the commercial domain, the dynamics and complexity of virtualised environments pose some challenges in managing the resources to ensure the quality of service (QoS) continuously met under fluctuating workloads. In this paper, we focus on resource allocation and advance resource reservation management issues for virtualised environments. The architecture of virtualisation-based resource reservation is first described and then the formulation of an optimisation problem concerning the reservation acceptance decision is presented. To solve this problem, a self-adaptive QoS-aware reservation management approach is proposed, which calculates the reservation acceptance gain to make the final decision. Performance evaluation results demonstrate that by using our approach, the QoS of both types of applications could be guaranteed and thus the total revenue of the resource provider could stably keep rising. Detailed analysis shows that proper choices can be made to deal with resource reservation requests via a QoS-aware manner.

Online publication date: Mon, 22-Sep-2014

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 Computational Science and Engineering (IJCSE):
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