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Specification and Quantitative Analysis of Probabilistic Cloud Deployment Patterns

  • Kenneth Johnson
  • Simon Reed
  • Radu Calinescu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7261)

Abstract

Cloud computing is a new technological paradigm offering computing infrastructure, software and platforms as a pay-as-you-go, subscription-based service. Many potential customers of cloud services require essential cost assessments to be undertaken before transitioning to the cloud. Current assessment techniques are imprecise as they rely on simplified specifications of resource requirements that fail to account for probabilistic variations in usage. In this paper, we address these problems and propose a new probabilistic pattern modelling (PPM) approach to cloud costing and resource usage verification. Our approach is based on a concise expression of probabilistic resource usage patterns translated to Markov decision processes (MDPs). Key costing and usage queries are identified and expressed in a probabilistic variant of temporal logic and calculated to a high degree of precision using quantitative verification techniques. The PPM cost assessment approach has been implemented as a Java library and validated with a case study and scalability experiments.

Keywords

Cloud computing formal verification methods formal specification languages formal modelling and specification probabilistic model checking Markov processes costing analysis resource usage patterns 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Kenneth Johnson
    • 1
  • Simon Reed
    • 1
  • Radu Calinescu
    • 1
  1. 1.Computer Science Research GroupAston UniversityBirminghamUK

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