A Bargaining Game Based Energy-Aware Load Balancing in Cloud Data Centers

被引:0
作者
Kishor, Avadh [1 ]
Niyogi, Rajdeep [1 ]
机构
[1] Indian Inst Technol Roorkee, Dept Comp Sci & Engn, Roorkee, Uttar Pradesh, India
来源
36TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2021 | 2021年
关键词
Cloud computing; Load balancing; Energy minimization; Cooperative game; Nash bargaining solution;
D O I
10.1145/3412841.3442070
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper addresses the energy-aware load balancing problem in the cloud computing environment. The problem considers two performance criteria-response time and energy. First, it is modeled as a cooperative game, and then an efficient algorithm is proposed to compute the Nash bargaining solution (NBS). The proposed algorithm is compared with an existing approach called NCG. The experimental results show that the proposed algorithm provides less response time while consuming less energy.
引用
收藏
页码:86 / 88
页数:3
相关论文
共 7 条
  • [1] [Anonymous], Internet Worlds Statistics, 2012
  • [2] Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
    Beloglazov, Anton
    Abawajy, Jemal
    Buyya, Rajkumar
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2012, 28 (05): : 755 - 768
  • [3] The Cost of a Cloud: Research Problems in Data Center Networks
    Greenberg, Albert
    Hamilton, James
    Maltz, David A.
    Patel, Parveen
    [J]. ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2009, 39 (01) : 68 - 73
  • [4] A game-theoretic approach for cost-aware load balancing in distributed systems
    Kishor, Avadh
    Niyogi, Rajdeep
    Veeravalli, Bharadwaj
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 109 : 29 - 44
  • [5] Non-cooperative power and latency aware load balancing in distributed data centers
    Tripathi, Rakesh
    Vignesh, S.
    Tamarapalli, Venkatesh
    Chronopoulos, Anthony T.
    Siar, Hajar
    [J]. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2017, 107 : 76 - 86
  • [6] US Department of Energy, US Energy information
  • [7] A game theoretic framework for bandwidth allocation and pricing in broadband networks
    Yaïche, H
    Mazumdar, RR
    Rosenberg, C
    [J]. IEEE-ACM TRANSACTIONS ON NETWORKING, 2000, 8 (05) : 667 - 678