Socially Optimal Mining Pools

Mining for Bitcoins is a high-risk high-reward activity. Miners, seeking to reduce their variance and earn steadier rewards, collaborate in so-called pooling strategies where they jointly mine for Bitcoins. Whenever some pool participant is successful, the earned rewards are appropriately split among all pool participants. Currently a dozen of different pooling strategies are in use for Bitcoin mining. We here propose a formal model of utility and social optimality for Bitcoin mining (and analogous mining systems) based on the theory of discounted expected utility, and next study pooling strategies that maximize the utility of participating miners in this model. We focus on pools that achieve a steady-state utility, where the utility per unit of work of all participating miners converges to a common value. Our main result shows that one of the pooling strategies actually employed in practice—the so-called geometric pay pool—achieves the optimal steady-state utility for miners when its parameters are set appropriately. Our results apply not only to Bitcoin mining pools, but any other form of pooled mining or crowdsourcing computations where the participants engage in repeated random trials towards a common goal, and where “partial” solutions can be efficiently verified.

[1]  Tyler Moore,et al.  Game-Theoretic Analysis of DDoS Attacks Against Bitcoin Mining Pools , 2014, Financial Cryptography Workshops.

[2]  Meni Rosenfeld,et al.  Analysis of Bitcoin Pooled Mining Reward Systems , 2011, ArXiv.

[3]  Jeffrey S. Rosenschein,et al.  Bitcoin Mining Pools: A Cooperative Game Theoretic Analysis , 2015, AAMAS.

[4]  Daniel E. Geer,et al.  Risk Aversion , 2012, IEEE Secur. Priv..

[5]  G. Loewenstein,et al.  Time Discounting and Time Preference: A Critical Review , 2002 .

[6]  Ittay Eyal,et al.  The Miner's Dilemma , 2014, 2015 IEEE Symposium on Security and Privacy.

[7]  Evan L. Porteus,et al.  Temporal Resolution of Uncertainty and Dynamic Choice Theory , 1978 .

[8]  P. Samuelson A Note on Measurement of Utility , 1937 .

[9]  Larry G. Epstein,et al.  Substitution, Risk Aversion, and the Temporal Behavior of Consumption and Asset Returns: A Theoretical Framework , 1989 .

[10]  Jeremy Clark,et al.  SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies , 2015, 2015 IEEE Symposium on Security and Privacy.

[11]  Abhi Shelat,et al.  Analysis of the Blockchain Protocol in Asynchronous Networks , 2017, EUROCRYPT.

[12]  Aggelos Kiayias,et al.  The Bitcoin Backbone Protocol: Analysis and Applications , 2015, EUROCRYPT.

[13]  Tim Roughgarden,et al.  Incentive Compatibility of Bitcoin Mining Pool Reward Functions , 2016, Financial Cryptography.

[14]  Aron Laszka,et al.  When Bitcoin Mining Pools Run Dry - A Game-Theoretic Analysis of the Long-Term Impact of Attacks Between Mining Pools , 2015, Financial Cryptography Workshops.