Distributed Protocols for Leader Election

Author:

Abraham Ittai1,Dolev Danny2,Halpern Joseph Y.3

Affiliation:

1. VMWARE Research, Herliya, Israel

2. The Hebrew University of Jerusalem, Jerusalem, Israel

3. Cornell University, NY, USA

Abstract

We do a game-theoretic analysis of leader election, under the assumption that each agent prefers to have some leader than no leader at all. We show that it is possible to obtain a fair Nash equilibrium, where each agent has an equal probability of being elected leader, in a completely connected network, in a bidirectional ring, and a unidirectional ring, in the synchronous setting. In the asynchronous setting, Nash equilibrium is not quite the right solution concept. Rather, we must consider ex post Nash equilibrium; this means that we have a Nash equilibrium no matter what a scheduling adversary does. We show that ex post Nash equilibrium is attainable in the asynchronous setting in all the networks we consider, using a protocol with bounded running time. However, in the asynchronous setting, we require that n > 2. We show that we can get a fair ex post ϵ-Nash equilibrium if n =2 in the asynchronous setting under some cryptographic assumptions (specifically, the existence of a one-way functions), using a commitment protocol . We then generalize these results to a setting where we can have deviations by a coalition of size k . In this case, we can get what we call a fair k -resilient equilibrium in a completely connected network if n > 2 k ; under the same cryptographic assumptions, we can a get a k -resilient equilibrium in a completely connected network, unidirectional ring, or bidirectional ring if n > k . Finally, we show that under minimal assumptions, not only do our protocols give a Nash equilibrium, they also give a sequential equilibrium, so players even play optimally off the equilibrium path.

Funder

HUJI Cyber Security Research Center

NSF

Open Philanthropy Foundation

ARO

AFOSR

Publisher

Association for Computing Machinery (ACM)

Subject

Computational Mathematics,Marketing,Economics and Econometrics,Statistics and Probability,Computer Science (miscellaneous)

Reference54 articles.

1. Distributed computing meets game theory

2. I. Abraham D. Dolev and J. Y. Halpern. 2011. On the Power of Cheap Talk. Unpublished manuscript. I. Abraham D. Dolev and J. Y. Halpern. 2011. On the Power of Cheap Talk. Unpublished manuscript.

3. Distributed Protocols for Leader Election: A Game-Theoretic Perspective

4. Distributed computing building blocks for rational agents

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