Temporal request scheduling for energy-efficient cloud data centers

Jing Bi, Haitao Yuan, Junfei Qiao, Mengchu Zhou, Xiao Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The cost of grid energy of cloud providers rises greatly due to the growing number of Internet services. Therefore, researches on energy-efficient cloud data centers (ECDCs) are increasingly focused on the effective use of renewable energy instead of brown energy for environmental protection. Because of the temporal difference in price of grid, solar irradiance and wind speed, it is difficult to satisfy the performance of each delay bounded request with lower grid energy cost of an ECDC. In this work, a temporal request scheduling (TRS) algorithm is proposed for the temporal diversity with strict delay assurance to schedule the appropriate execution of all arriving requests. In addition, a mathematical model is presented to describe the relation between ECDC's service rate and request refusal. The formulated nonlinear optimization problem is solved by a hybrid meta-heuristic algorithm. Experimental results demonstrate that TRS can realize less cost of grid energy and higher throughput for an ECDC while satisfying requests' delay requirement than three representative scheduling methods.

Original languageEnglish (US)
Title of host publicationProceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017
EditorsAntonio Guerrieri, Giancarlo Fortino, Athanasios V. Vasilakos, MengChu Zhou, Zofia Lukszo, Carlos Palau, Antonio Liotta, Andrea Vinci, Francesco Basile, Maria Pia Fanti
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages180-185
Number of pages6
ISBN (Electronic)9781509044283
DOIs
StatePublished - Aug 1 2017
Event14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017 - Calabria, Italy
Duration: May 16 2017May 18 2017

Publication series

NameProceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017

Other

Other14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017
CountryItaly
CityCalabria
Period5/16/175/18/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Optimization
  • Instrumentation

Keywords

  • Cloud data center
  • Energy efficiency
  • Hybrid optimization
  • Scheduling

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