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Author:

Fang, Juan (Fang, Juan.) (Scholars:方娟) | Zhou, Lifu (Zhou, Lifu.) | Hao, Xiaoting (Hao, Xiaoting.) | Cai, Min (Cai, Min.) | Ren, Xingtian (Ren, Xingtian.)

Indexed by:

CPCI-S EI Scopus

Abstract:

The problem of high energy consumption is becoming more and more serious due to the construction of large-scale cloud data centers. Detecting and switching underloading hosts into sleep mode is the key approach to reduce energy consumption. In this paper, we propose Minimum Utilization with Threshold algorithm to reduce energy consumption and VLA violation. We use the simulator CloudSim in our experiment with our algorithm and have a significant reduction on both energy consumption and SLA violation based on our data.

Keyword:

cloud center virtual machine underloading detection algorithm

Author Community:

  • [ 1 ] [Fang, Juan]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China
  • [ 2 ] [Zhou, Lifu]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China
  • [ 3 ] [Hao, Xiaoting]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China
  • [ 4 ] [Cai, Min]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China
  • [ 5 ] [Ren, Xingtian]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China

Reprint Author's Address:

  • 方娟

    [Fang, Juan]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China

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Source :

2016 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER)

ISSN: 1552-5244

Year: 2016

Page: 134-135

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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