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

  • Huixi Li
  • Hao Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6987)

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.

Keywords

Cloud computing Pareto Optimal resource scheduling Cloud bank infrastructure SLA 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Huixi Li
    • 1
  • Hao Li
    • 2
  1. 1.School of Information Science and EngineeringYunnan UniversityKunmingChina
  2. 2.School of SoftwareYunnan UniversityKunmingChina

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