QoS for applications on clouds

While QoS properties have received constant attention well before the advent of cloud computing, performance heterogeneity and resource isolation mechanisms of cloud platforms have significantly complicated QoS analysis, prediction, and assurance. This is prompting several researchers to investigate automated QoS management methods that can leverage the high programmability of hardware and software resources in the cloud [4]. This paper aims at supporting these efforts by providing a survey of the state of the art of QoS modeling approaches applicable to cloud computing and by describing their initial application to cloud resource management.

 

  • Scope
  • Methodology
  • Survey Organization
  • Workload Modelling
  • System Modelling
  • Application

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