PoolSim: A Discrete-Event Mining Pool Simulation Framework

Sam M. Werner () and Daniel Perez ()
Additional contact information
Sam M. Werner: Imperial College London
Daniel Perez: Imperial College London

A chapter in Mathematical Research for Blockchain Economy, 2020, pp 167-182 from Springer

Abstract: Abstract In Proof-of-Work cryptocurrencies, fair reward distribution within mining pools has become a popular area of research. Aside from a theoretical grounding, mining pool reward scheme research has commonly involved discrete event simulations of deterministic miner behaviour under different reward schemes. However, until now researchers have been left with the tedious task of developing their own mining pool simulation software, a rather time-consuming and potentially extensive undertaking, as miner behaviour becomes more complex. We present PoolSim, an open-source and very extensible discrete event simulation framework for modelling different behaviours of miners under any reward distribution scheme. By utilising this framework for different hypothetical mining scenarios, we showcase that mining pool reward scheme analysis indeed remains an exciting area for future research. Further, we believe that PoolSim will vastly increase productivity of researchers focusing on mining pools.

Keywords: Mining pools; Discrete event simulation; Mining pool reward scheme analysis; Simulation tools (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-37110-4_12

Ordering information: This item can be ordered from
http://www.springer.com/9783030371104

DOI: 10.1007/978-3-030-37110-4_12

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().