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Optimal Resource Allocation Through Joint VM Selection and Placement in Private Clouds

  • Hongkun Chen
  • Feilong TangEmail author
  • Linghe Kong
  • Wenchao Xu
  • Xingjun Zhang
  • Yanqin Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11783)

Abstract

It is the goal of private cloud platforms to optimize the resource allocation process and minimize the expense to process tasks. Essentially, resource allocation in clouds involves two phases: virtual machine selection (VMS) and virtual machine placement (VMP), and they can be jointly considered. However, existing solutions separate VMS and VMP, therefore, they can only get local optimal resource utilization. In this paper, we explore how to optimize the resource allocation globally through considering VMS and VMP jointly. Firstly, we formulate the joint virtual machine selection and placement (JVMSP) problem, and prove its NP hardness. Then, we propose the Resource-Decoupling algorithm that converts the JVMSP problem into two independent sub-problems: Max-Capability and Min-Cost. We prove that the optimal solutions of the two sub-problems guarantees the optimal solution of the JVMSP problem. Furthermore, we design the efficient Max-Balanced-Utility and Extent-Greedy heuristic algorithms to solve Max-Capability and Min-Cost, respectively. We evaluate our proposed algorithms on datasets with different distributions of resources, and the results demonstrate that our algorithms significantly improve the resource utilization efficiency compared with traditional solutions and existing algorithms.

Keywords

Resource allocation VM selection VM placement Resource utilization efficiency Private clouds 

Notes

Acknowledgments

This work was supported in part by the National Natural Science Foundation of China projects under Grants 61832013 and 61672351, and in part by the Huawei Technologies Co., Ltd. project under Grant YBN2018125107.

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Hongkun Chen
    • 1
  • Feilong Tang
    • 1
    Email author
  • Linghe Kong
    • 1
  • Wenchao Xu
    • 2
  • Xingjun Zhang
    • 3
  • Yanqin Yang
    • 2
  1. 1.Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiChina
  2. 2.Department of Computer Science and TechnologyEast China Normal UniversityShanghaiChina
  3. 3.School of Computer Science and TechnologyXi’an Jiaotong UniversityXianChina

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