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Research on Adaptive QoS-Aware Resource Reservation Management in Cloud Service Environments

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5 Author(s)
Xiaoying Wang ; Dept. of Comput. Technol. & Applic., Qinghai Univ., Xining, China ; Yuanyuan Xue ; Lihua Fan ; Rui Wang
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As cloud computing increasingly enters the commercial domain, the resource management issues are becoming a major concern. The dynamics and complexity of cloud 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 the advance resource reservation management issues for the cloud environments. The architecture of virtualization-based resource reservation is first described and then the formulation of an optimization problem concerning the reservation acceptance decision is presented. To solve this problem, an adaptive QoS-aware reservation management approach is proposed, which calculates the reservation acceptance gain to make the final decision. Performance evaluation results of simulation experiments demonstrate that by using the approach we designed, 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 in a QoS-aware manner.

Published in:

Services Computing Conference (APSCC), 2011 IEEE Asia-Pacific

Date of Conference:

12-15 Dec. 2011