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作者:

Gao, Ziyan (Gao, Ziyan.) | Wang, Yong (Wang, Yong.) | Gao, Yifan (Gao, Yifan.) | Ren, Xingtian (Ren, Xingtian.)

收录:

EI Scopus SCIE

摘要:

Task scheduling is an important issue in Cloud Computing. Cloud Computing often covers a range of different kinds of nodes, which offers a complex environment. To handle this complexity, as while as to process task scheduling in different scenarios of Cloud Computing, many algorithms have been studied. In this paper, we propose a game theory-based algorithm to the Cloud Computing task scheduling problem on the principle of minimizing the cost in the Cloud Computing. The Cloud Computing task scheduling problem is treated as a noncooperative game. The experiment results demonstrate that the game-based algorithm has a desirable capability to reduce the cost in the Cloud Computing.

关键词:

cloud computing cost-based task scheduling game model multiobjective optimization

作者机构:

  • [ 1 ] [Gao, Ziyan]Beijing Univ Technol, Coll Comp Sci & Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 2 ] [Wang, Yong]Beijing Univ Technol, Coll Comp Sci & Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 3 ] [Gao, Yifan]Beijing Univ Technol, Coll Comp Sci & Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 4 ] [Ren, Xingtian]Beijing Univ Technol, Coll Comp Sci & Technol, Fac Informat Technol, Beijing, Peoples R China

通讯作者信息:

  • [Wang, Yong]Beijing Univ Technol, Coll Comp Sci & Technol, Fac Informat, Pingleyuan 100, Beijing 100124, Peoples R China

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来源 :

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

ISSN: 1532-0626

年份: 2019

期: 7

卷: 32

2 . 0 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:58

JCR分区:3

被引次数:

WoS核心集被引频次: 2

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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