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Title: A stable matching-based virtual machine allocation mechanism for cloud data centers
Authors: Wang, JV
Fok, KY
Cheng, CT 
Tse, CK 
Issue Date: 2016
Source: 2016 IEEE World Congress on Services (SERVICES), San Francisco, CA, 27 June-2 July, 2016, p. 103-106
Abstract: Virtualization is the enabling technology that makes resource provisioning in Cloud computing feasible. With virtualization, virtual machines (VMs) can be migrated across physical hosts to achieve better utilization of resource with a minimum impact on service quality. The VM allocation problem can be formulated as a stable matching problem. In this paper, we propose a VM allocation mechanism based on stable matching. A deferred acceptance procedure is adopted to handle conflicts among preferences of VMs and physical hosts. Unlike ordinary stable matching problems, both involving party groups in our matching process are having a mutual objective, that is to reduce the overall energy consumption of a Cloud data center while maintaining a high level of Quality of Service. The proposed mechanism is evaluated using CloudSim with real-world workload data. Simulation results show that Cloud data centers with the proposed mechanism can reduce energy consumption and avoid violations of Service-Level Agreement.
Keywords: Cloud computing
Stable matching
VM allocation
Publisher: Institute of Electrical and Electronics Engineers
ISBN: 978-1-5090-2616-6 (electronic)
978-1-5090-2617-3 (print on demand(PoD))
DOI: 10.1109/SERVICES.2016.21
Rights: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication J. V. Wang, K. Y. Fok, C. T. Cheng and C. K. Tse, "A Stable Matching-Based Virtual Machine Allocation Mechanism for Cloud Data Centers," 2016 IEEE World Congress on Services (SERVICES), San Francisco, CA, 2016, pp. 103-106 is available at
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