Upper and Lower Bounds for the Synchronizer Performance in Systems with Probabilistic Message Loss


In this paper, we revisit the performance of the α-synchronizer in distributed systems with probabilistic message loss as introduced in Függer et al. [Perf. Eval. 93(2015)]. In sharp contrast to the infinite-state Markov chain resp. the exponential-size finite-state upper bound presented in the original paper, we introduce a polynomial-size finite-state Markov chain for a new synchronizer variant \(\alpha ^{\prime }\), which provides a new upper bound on the performance of the α-synchronizer. Both analytic and simulation results show that our new upper bound is strictly better than the existing one. Moreover, we show that a modified version of the \(\alpha ^{\prime }\)-synchronizer provides a lower bound on the performance of the α-synchronizer. By means of elaborate simulation results, we show that our new lower bound is also strictly better than the lower bound presented in the original paper.


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Correspondence to Martin Zeiner.

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This work has been supported the Austrian Science Fund (FWF) project S11405 (RiSE) and P28182 (ADynNet).

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Zeiner, M., Schmid, U. Upper and Lower Bounds for the Synchronizer Performance in Systems with Probabilistic Message Loss. Methodol Comput Appl Probab (2020). https://doi.org/10.1007/s11009-020-09792-z

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  • Distributed systems
  • Synchronizer
  • Performance analysis
  • Probabilistic message loss
  • Markov chain

Mathematics Subject Classification (2010)

  • 60J20
  • 60J10
  • 68Q87
  • 68W15