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A Research of Resource Scheduling Strategy with SLA Restriction for Cloud Computing Based on Pareto Optimality M×N Production Model

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Web Information Systems and Mining (WISM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6987))

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Abstract

Cloud computing can provide services by aggregating, selecting, and sharing of geographically distributed heterogeneous resources, in a fully virtualized manner. Themost important problem in Cloud computing is that the geographic distributed resources owned by different institutions with their different price models, usage policies and changing load. Meanwhile, the availability of resources and the load on them dynamically varies with time. Hence, resource management in Clouds is a complicated task. An economic-based method with service-level agreement (SLA) restriction is presented to allocate Cloud resources, which is based on Pareto optimality theory and realizes the optimal allocation of Cloud resources. This paper describes a Cloud bank model that depends on market mechanism to understand deeply Pareto optimality.

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Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Yunnan University, Kunming, 650091, China

    Huixi Li

  2. School of Software, Yunnan University, Kunming, 650091, China

    Hao Li

Authors
  1. Huixi Li
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  2. Hao Li
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Editor information

Editors and Affiliations

  1. Department of Computer and Inforamtion Science, University of Macau, Av. Padre Tomás Pereira, Taipa, Macau, China

    Zhiguo Gong

  2. School of Computer, Shanghai University, 200444, Shanghai, China

    Xiangfeng Luo

  3. College of Computer and Software, Taiyuan University of Technology, 030024, Taiyuan, China

    Junjie Chen

  4. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  5. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

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© 2011 Springer-Verlag Berlin Heidelberg

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Li, H., Li, H. (2011). A Research of Resource Scheduling Strategy with SLA Restriction for Cloud Computing Based on Pareto Optimality M×N Production Model. In: Gong, Z., Luo, X., Chen, J., Lei, J., Wang, F.L. (eds) Web Information Systems and Mining. WISM 2011. Lecture Notes in Computer Science, vol 6987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23971-7_22

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  • DOI: https://doi.org/10.1007/978-3-642-23971-7_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23970-0

  • Online ISBN: 978-3-642-23971-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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