Title: A SLA-based cloud resource provisioning optimisation mechanism for multi-tenant applications

Authors: Yuliang Shi; Chao Yu; Jie Wang; Huayang Yu; Qingzhong Li

Addresses: School of Computer Science and Technology, Shandong University, No. 1500 Shunhua Road, High-Tech Development Zone, Jinan 250101, China ' School of Computer Science and Technology, Shandong University, No. 1500 Shunhua Road, High-Tech Development Zone, Jinan 250101, China ' School of Computer Science and Technology, Shandong University, No. 1500 Shunhua Road, High-Tech Development Zone, Jinan 250101, China ' School of Computer Science and Technology, Shandong University, No. 1500 Shunhua Road, High-Tech Development Zone, Jinan 250101, China ' School of Computer Science and Technology, Shandong University, No. 1500 Shunhua Road, High-Tech Development Zone, Jinan 250101, China

Abstract: As cloud resources exhibit the characteristics of dynamic and scalability, an increasing number of service providers deploy their multi-tenant applications to Cloud. For cloud service providers, how to arrange the allocation of application resources reasonably, in order to not only satisfy the service level agreements (SLAs) of diverse tenants, but also maximise their resource utilisation, has become a major challenge. In this paper, we propose a SLA-based resource provisioning optimisation mechanism for multi-tenant applications. Based on the invoking relationships among services and the workload of service instances, the mechanism divides the tenants' SLA into SLA constraints, and maps each SLA constraint to the corresponding service. In addition, the mechanism uses an optimised round-robin scheduling policy to improve the resource utilisation of each service instance, and employs a defragmentation optimisation algorithm to control the scale of service instances and increase the overall resource utilisation. The experimental results show that the proposed mechanism is feasible and effective.

Keywords: cloud computing; service level agreements; SLAs; resource provisioning; multi-tenant applications; cloud resources; defragmentation optimisation; SLA constraints; round-robin scheduling; resource utilisation.

DOI: 10.1504/IJAACS.2015.073189

International Journal of Autonomous and Adaptive Communications Systems, 2015 Vol.8 No.4, pp.374 - 391

Received: 19 Sep 2013
Accepted: 11 Oct 2013
Published online: 27 Nov 2015 *

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