The value of communication and cooperation when servers are strategic

Authors

DOI:

https://doi.org/10.21914/anziamj.v61i0.14157

Keywords:

communication, cooperation, two-player game, Nash equilibrium, threshold policy, social welfare, regulation.

Abstract

In 2015, Guglielmi and Badia discussed optimal strategies in a particular type of service system with two strategic servers. In their setup, each server can be either active or inactive and an active server can be requested to transmit a sequence of packets. The servers have varying probabilities of successfully transmitting when they are active, and both servers receive a unit reward if the sequence of packets is transmitted successfully. Guglielmi and Badia provided an analysis of optimal strategies in four scenarios: where each server does not know the other’s successful transmission probability; one of the two servers is always inactive; each server knows the other’s successful transmission probability and they are willing to cooperate. Unfortunately, the analysis by Guglielmi and Badia contained some errors. In this paper we correct these errors. We discuss three cases where both servers (I) communicate and cooperate; (II) neither communicate nor cooperate; (III) communicate but do not cooperate. In particular, we obtain the unique Nash equilibrium strategy in Case II through a Bayesian game formulation, and demonstrate that there is a region in the parameter space where there are multiple Nash equilibria in Case III. We also quantify the value of communication or cooperation by comparing the social welfare in the three cases, and propose possible regulations to make the Nash equilibrium strategy the socially optimal strategy for both Cases II and III. doi:10.1017/S1446181120000048

Author Biographies

Mark Fackrell, The University of Melbourne

School of Mathematics and Statistics, The University of Melbourne, Victoria 3010, Australia.

Cong Li, The University of Melbourne

School of Mathematics and Statistics, The University of Melbourne, Victoria 3010, Australia.

Peter Taylor, The University of Melbourne

School of Mathematics and Statistics, The University of Melbourne, Victoria 3010, Australia.

Jiesen Wang, The University of Melbourne

School of Mathematics and Statistics, The University of Melbourne, Victoria 3010, Australia.

Published

2020-05-06

Issue

Section

Articles for Printed Issues