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Zhu, Fengchun; Li, Hao; Lu, Joan (2012)
Publisher: IEEE
Languages: English
Types: Part of book or chapter of book
Subjects: Q1, QA75
The Cloud Bank model, which is derived from Grid bank [1], is a kind of commerce model of cloud computing that provides pay-as-you-go computing resources. In this model, Cloud Bank is an agent platform of resource transaction. Cloud computing uses the concept of service level agreement (S LA) to control the use and receipt of computing resources from, and by, Cloud Bank. As computing resources are provided in the form of services, Quality of Service (QoS) mechanisms are introduced to solve any quality of service problems. This paper presents a framework of Service Level Agreements in the Cloud Bank model (CBSLA), QoS attributes is added to the CBSLA to guarantee the quality of service. All the transactions of cloud bank are based on the CBSLA agreement.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] Hao L, Joan L,Xuejie Z,and ShaowenY(2008).A Banking Based Grid Recourse Allocation Scheduling, GPC Workshops.
    • [2] Hao L, Joan L,Xuejie Z,and ShaowenY(2008).A Banking Based Grid Recourse Allocation Scheduling, GPC Workshops..
    • [3] TeleManagement Forum(2001). GB917. SLA Management Handbook.
    • [4] Hao L, Fengchuan Z(2011).A Stackelberg Leadership Model-Based Cloud Resource Pricing Strategy.IEEE International Conference on Intelligent Computing and Integrated Systems (ICISS 2011).
    • [5] Hao L ,Huixi L(2011).A Research of Resource Scheduling Strategy For Cloud Computing Based on Pareto Optimality M×N Production Model.International Conference on Management and Service Science(MASS 2011).
    • [6] KellerA and LudwigH(2003). The wsla framework: Specifying and monitoring servicelevel agreements for web services. J. Netw. Syst. Manage. 11(1):57-81.
    • [7] Hao L,Guo T,Joan L ,Shaowen Y(2009).The QoS Resource Quantification Based on the Grid Banking Model, 2009.ISBN:978-1- 4244-4615-5.pp.548-553.
    • [8] Bo W,Hao L(2010).The rearch on cloud resource pricing strategies based on Cournot equilibrium.2011 Second WRI World Congress on Software Engineering(WCSE 2010).
    • [9] H. Goto, Y. Hasegawa, and M. Tanaka, “Efficient Scheduling Focusing on the Duality of MPL Representatives,” Proc. IEEE Symp. Computational Intelligence in Scheduling (SCIS 07), IEEE Press, Dec. 2007, pp. 57-64, doi:10.1109/SCIS.2007.357670.
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