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arXiv · 1804.06197

Reaching Distributed Equilibrium with Limited ID Space

Dor Bank·Moshe Sulamy·Eyal Waserman
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Abstract

We examine the relation between the size of the id space and the number of rational agents in a network under which equilibrium in distributed algorithms is possible. When the number of agents in the network is not a-priori known, a single agent may duplicate to gain an advantage, pretending to be more than one agent. However, when the id space is limited, each duplication involves a risk of being caught. By comparing the risk against the advantage, given an id space of size $L$, we provide a method of calculating the minimal threshold $t$, the required number of agents in the network, such that the algorithm is in equilibrium. That is, it is the minimal value of $t$ such that if agents a-priori know that $n \geq t$ then the algorithm is in equilibrium. We demonstrate this method by applying it to two problems, Leader Election and Knowledge Sharing, as well as providing a constant-time approximation $t \approx \frac{L}{5}$ of the minimal threshold for Leader Election.

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Dor Bank, Moshe Sulamy, Eyal Waserman. 2018-04-17. Reaching Distributed Equilibrium with Limited ID Space. https://arxiv.org/abs/1804.06197

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