6th International Conference on Performance Evaluation Methodologies and Tools

Research Article

Evaluation of different scheduling policies in IaaS applications by Mean Field analysis.

Download343 downloads
  • @INPROCEEDINGS{10.4108/valuetools.2012.250285,
        author={Danilo Abbaldo and Marco Gribaudo and Daniele Manini},
        title={Evaluation of different scheduling policies in IaaS applications by Mean Field analysis.},
        proceedings={6th International Conference on Performance Evaluation Methodologies and Tools},
        publisher={IEEE},
        proceedings_a={VALUETOOLS},
        year={2012},
        month={11},
        keywords={mean field analysis performance evaluation of communication networks cloud computing},
        doi={10.4108/valuetools.2012.250285}
    }
    
  • Danilo Abbaldo
    Marco Gribaudo
    Daniele Manini
    Year: 2012
    Evaluation of different scheduling policies in IaaS applications by Mean Field analysis.
    VALUETOOLS
    ICST
    DOI: 10.4108/valuetools.2012.250285
Danilo Abbaldo1, Marco Gribaudo2, Daniele Manini1,*
  • 1: University of Torino
  • 2: Politecnico di Milano
*Contact email: manini@di.unito.it

Abstract

Cloud Computing is emerging today as a commercial infrastructure that through the use of virtualization aims to provide on demand computing resources. In particular, the Infrastructure as a Service (IaaS) is a cloud service that allows the user to perform and execute any OS and application in virtual environments. In this work we present an evaluation of different policies for the assignment of virtual machines that IaaS providers can adopt in order to both efficiently planning their infrastructures and guaranteeing the quality of service expected by customers. The study is based on the exploitation of a Mean Field Model, able to evaluate systems with a relevant number of interacting entities, that can provide interesting insights derived from the computation of different performance indexes such as the request loss rate, the mean number of executing/available resources, and the overall ratio of satisfied requests to mention a few.