A QoS-constrained Resource Allocation Game in Federated Cloud

被引：7
作者：
Xu, Xin [1 ]
Yu, Huiqun [1 ]
Cong, Xinyu [1 ]
机构：
[1] E China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China
来源：
2013 SEVENTH INTERNATIONAL CONFERENCE ON INNOVATIVE MOBILE AND INTERNET SERVICES IN UBIQUITOUS COMPUTING (IMIS 2013) | 2013年
关键词：
Federated cloud; Resource Allocation; QoS; Cooperative Game;
D O I：
10.1109/IMIS.2013.53
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Federated cloud emerges recently to overcome resource limitation of IaaS providers by federating different cloud resources which belong to separate organizations. The main objective of IaaS providers is to obtain maximal profits and guarantee QoS requirements of customers at the same time. In this paper, we propose a cooperative game algorithm that helps the resource allocation decision-making process with a flexible resource amount of the total federation. This algorithm also takes the QoS constraints into account and provides two different approaches for cost-sensitive or time-sensitive customers. Simulation results show that the proposed algorithm improves various QoS requirements and increases the satisfaction level of customer's requests.
引用
收藏
页码：268 / 275
页数：8
相关论文
共 13 条
  • [1] Bicer T., 2012, Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2012), P636, DOI 10.1109/CCGrid.2012.95
  • [2] Buyya R., J CONCURR COMPUT PRA, P13
  • [3] Formation of virtual organizations in grids: a game-theoretic approach
    Carroll, Thomas E.
    Grosu, Daniel
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2010, 22 (14) : 1972 - 1989
  • [4] Dogan A, 2002, LECT NOTES COMPUT SC, V2536, P58
  • [5] Towards autonomic detection of SLA violations in Cloud infrastructures
    Emeakaroha, Vincent C.
    Netto, Marco A. S.
    Calheiros, Rodrigo N.
    Brandic, Ivona
    Buyya, Rajkumar
    De Rose, Cesar A. F.
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2012, 28 (07): : 1017 - 1029
  • [6] Hassan M. M., 2011, Proceedings of the 2011 IEEE 13th International Conference on High Performance Computing and Communication (HPCC 2011). 2011 IEEE International Workshop on Future Trends of Distributed Computing Systems (FTDCS 2011). Workshops of the 2011 International Conference on Ubiquitous Intelligence and Computing (UIC 2011). Workshops of the 2011 International Conference on Autonomic and Trusted Computing (ATC 2011), P822, DOI 10.1109/HPCC.2011.116
  • [7] Hochbaum Dorit S, 1996, Approximation algorithms for NP-hard problems
  • [8] Khan S.U., 2006, P 20 INT C PAR DISTR, P121
  • [9] Decision-making in cloud computing environments: A cost and risk based approach
    Martens, Benedikt
    Teuteberg, Frank
    [J]. INFORMATION SYSTEMS FRONTIERS, 2012, 14 (04) : 871 - 893
  • [10] Toosi A. N., 2011, Proceedings of the 2011 IEEE 13th International Conference on High Performance Computing and Communication (HPCC 2011). 2011 IEEE International Workshop on Future Trends of Distributed Computing Systems (FTDCS 2011). Workshops of the 2011 International Conference on Ubiquitous Intelligence and Computing (UIC 2011). Workshops of the 2011 International Conference on Autonomic and Trusted Computing (ATC 2011), P279, DOI 10.1109/HPCC.2011.44
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