Volume 9 Number 9 (Sep. 2014)
Home > Archive > 2014 > Volume 9 Number 9 (Sep. 2014) >
JSW 2014 Vol.9(9): 2283-2290 ISSN: 1796-217X
doi: 10.4304/jsw.9.9.2283-2290

CPU Frequency Scaling Algorithm for Energy-saving in Cloud Data Centers

Yongchao Xiang, Zhen Liu, Xiaoya Qu
Network Management Research Center, Beijing Jiaotong University, Beijing 100044, China

Abstract—High energy consumption becomes an urgent problem in cloud datacenters. Based on virtualization technologies, the pay-as-you-go resource provision paradigm has become a trend. Specifically, Virtual Machine (VM) is the basic resource unit in data center for resource migration and provisioning. Many researches have been devoted to improve datacenter resource utilization and reduce power consumption by VM placement. As the most important power consumption resource, CPU has a fluctuant frequency range. Based on CPU frequency scaling, a new approach for VMs placement is proposed. The approach is realized in two stages. In the initial stage, we propose a multiobjective heuristic ant colony algorithm, which will find the optimization solution for energy saving as well as servicelevel agreement (SLA). In the dynamic stage, by using autoregressive prediction and CPU frequency scaling, the proposed approach can adjust the CPU utilization if needed, not depending on whole VM migration. The experiments show that the energy saving algorithms based on CPU frequency scaling are much better than the traditional BFD and FFD algorithms in saving energy and satisfying SLA.

Index Terms—cloud datacenter, VM migration, energy consumption, Service Level Agreement, CPU frequency scaling


Cite: Yongchao Xiang, Zhen Liu, Xiaoya Qu, "CPU Frequency Scaling Algorithm for Energy-saving in Cloud Data Centers," Journal of Software vol. 9, no. 9, pp. 2283-2290, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Dec 06, 2019 News!

    Vol 14, No 1- Vol 14, No 4 has been indexed by EI (Inspec)   [Click]

  • Jun 22, 2020 News!

    Papers published in JSW Vol 14, No 1- Vol 15 No 4 have been indexed by DBLP     [Click]

  • Jun 22, 2020 News!

    The papers published in Vol 15, No 5 have all received dois from Crossref    [Click]

  • Aug 01, 2018 News!

    [CFP] 2020 the annual meeting of JSW Editorial Board, ICCSM 2020, will be held in Rome, Italy, July 17-19, 2020   [Click]

  • Jun 22, 2020 News!

    Vol 15, No 5 has been published with online version     [Click]