Abstract
Leader election protocols have been intensively studied in distributed computing, mostly in the static setting. However, it remains a challenge to design and analyze these protocols in the dynamic setting, due to its high uncertainty, where typical properties include the average steps of electing a leader eventually, the scalability etc. In this paper, we propose a novel model-based approach for analyzing leader election protocols of dynamic systems based on probabilistic model checking. In particular, we employ a leading probabilistic model checker, PRISM, to simulate representative protocol executions. We also relax the assumptions of the original model to cover unreliable channels which requires the introduction of probability to our model. The experiments confirm the feasibility of our approach.
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Acknowledgements
The work was partially funded by the NSF of China under grant No.61202002, No.61379157 and the Collaborative Innovation Center of Novel Software Technology and Industrialization.
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Gu, J., Zhou, Y., Wu, W., Chen, T. (2015). Analyzing Eventual Leader Election Protocols for Dynamic Systems by Probabilistic Model Checking. In: Huang, Z., Sun, X., Luo, J., Wang, J. (eds) Cloud Computing and Security. ICCCS 2015. Lecture Notes in Computer Science(), vol 9483. Springer, Cham. https://doi.org/10.1007/978-3-319-27051-7_17
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DOI: https://doi.org/10.1007/978-3-319-27051-7_17
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