A green scheduler for cloud data centers using renewable energy

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

3 Scopus Citations
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Author(s)

  • Chonglin Gu
  • Chunyan Liu
  • Chen Shi
  • Zhixiang He
  • Hejiao Huang

Detail(s)

Original languageEnglish
Title of host publicationAlgorithms and Architectures for Parallel Processing
Subtitle of host publication15th International Conference, ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015, Proceedings, Part IV
EditorsGuojun Wang, Albert Zomaya, Gregorio Martinez Perez, Kenli Li
Place of PublicationCham
PublisherSpringer
Pages476-491
ISBN (Electronic)978-3-319-27140-8
ISBN (Print)978-3-319-27139-2
Publication statusPublished - 2015
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Theoretical Computer Science and General Issues)
Volume9531
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Title15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015
PlaceChina
CityZhangjiajie
Period18 - 20 November 2015

Abstract

In recent years, a large number of cloud data centers have been built around the world to provide all kinds of service. The high power consumption of the servers in those data centers deteriorates the already serious global warming. Many Internet operators have devoted much effort in power-aware scheduling using renewable resources. However, the intermittent nature of renewable resources proposes new challenges for us: how to distribute the incoming requests to the data centers that are powered by renewable energy, while minimizing the carbon emissions under a certain budget. In this paper, we model the problem as a constraint optimization problem. The goal is to minimize total carbon emissions of those geographically distributed data centers, while satisfying the constraints: (1) The electricity budget in each time slot; (2) The intermittent supply of renewable energy; (3) The number of each type of heterogeneous servers in each data center; (4) QoS constraint in request processing time. We ingeniously transformed this problem into a mixed integer linear programming problem, and solved it using Cplex. Our simulation is based on traces from real world, and we can get optimum solution when problem scale like Wiki workload is not so large. Experiments show that our scheduler can minimize carbon emissions while satisfying the above mentioned constraints.

Research Area(s)

  • Carbon emissions, Cloud computing, Data center, Green scheduling, Renewable resource

Citation Format(s)

A green scheduler for cloud data centers using renewable energy. / Gu, Chonglin; Liu, Chunyan; Shi, Chen; He, Zhixiang; Huang, Hejiao; Jia, Xiaohua.

Algorithms and Architectures for Parallel Processing: 15th International Conference, ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015, Proceedings, Part IV. ed. / Guojun Wang; Albert Zomaya; Gregorio Martinez Perez; Kenli Li. Cham : Springer, 2015. p. 476-491 (Lecture Notes in Computer Science (including subseries Theoretical Computer Science and General Issues); Vol. 9531).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review