A Reliable QoE-aware Framework for Cloud Service Monitoring and Ranking

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 288)

Abstract

With the popularity of cloud services, consumers are faced with the optimal selection among a diversity of services from federated clouds. Since the consumers might have individual requirements on applications, the selection of service has become embarrassed. To solve this problem, the research on effective approaches of ranking service to ensure the selection has been put forward as a demanding work. In this paper, we present a reliable QoE-aware cloud service ranking framework based on Markov chain model, which integrates QoE metrics to optimize the rank results. Our approach not only focuses on the individual rank, but also introduces the prediction model to assure the reliability of rank.

Keywords

QoE Rank Reliability Cloud service 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Yuchao Zhang
    • 1
  • Hongfu Liu
    • 2
  • Bo Deng
    • 1
  • Fuyang Peng
    • 1
  1. 1.Beijing Institute of System EngineeringBeijingChina
  2. 2.Beihang UniversityBeijingChina

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