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Randomized leader election

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Abstract

We present an efficient randomized algorithm for leader election in large-scale distributed systems. The proposed algorithm is optimal in message complexity (O(n) for a set of n total processes), has round complexity logarithmic in the number of processes in the system, and provides high probabilistic guarantees on the election of a unique leader. The algorithm relies on a balls and bins abstraction and works in two phases. The main novelty of the work is in the first phase where the number of contending processes is reduced in a controlled manner. Probabilistic quorums are used to determine a winner in the second phase. We discuss, in detail, the synchronous version of the algorithm, provide extensions to an asynchronous version and examine the impact of failures.

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Correspondence to Murali Krishna Ramanathan.

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Ramanathan, M.K., Ferreira, R.A., Jagannathan, S. et al. Randomized leader election. Distrib. Comput. 19, 403–418 (2007). https://doi.org/10.1007/s00446-007-0022-4

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Keywords

  • Negative Response
  • Mutual Exclusion
  • Unique Leader
  • Leader Election
  • Message Complexity