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  • Reliability assessment for distributed systems via communication abstraction and refinement

    Author(s)
    Gui, L
    Sun, J
    Liu, Y
    Dong, JS
    Griffith University Author(s)
    Dong, Jin-Song
    Year published
    2015
    Metadata
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    Abstract
    Distributed systems like cloud-based services are ever more popular. Assessing the reliability of distributed systems is highly non-trivial. Particularly, the order of executions among distributed components adds a dimension of non-determinism, which invalidates existing reliability assessment methods based on Markov chains. Probabilistic model checking based on models like Markov decision processes is designed to deal with scenarios involving both probabilistic behavior (e.g., reliabilities of system components) and non-determinism. However, its application is currently limited by state space explosion, which makes reliability ...
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    Distributed systems like cloud-based services are ever more popular. Assessing the reliability of distributed systems is highly non-trivial. Particularly, the order of executions among distributed components adds a dimension of non-determinism, which invalidates existing reliability assessment methods based on Markov chains. Probabilistic model checking based on models like Markov decision processes is designed to deal with scenarios involving both probabilistic behavior (e.g., reliabilities of system components) and non-determinism. However, its application is currently limited by state space explosion, which makes reliability assessment of distributed system particularly difficult. In this work, we improve the probabilistic model checking through a method of abstraction and reduction, which controls the communications among system components and actively reduces the size of each component. We prove the soundness and completeness of the proposed approach. Through an implementation in a software toolkit and evaluations with several systems, we show that our approach often reduces the size of the state space by several orders of magnitude, while still producing sound and accurate assessment.
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    Conference Title
    2015 International Symposium on Software Testing and Analysis, ISSTA 2015 - Proceedings
    DOI
    https://doi.org/10.1145/2771783.2771794
    Subject
    Software engineering not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/172957
    Collection
    • Conference outputs

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