A survey of empirical performance evaluation of permissioned blockchain platforms: Challenges and opportunities

Mohammad Dabbagh, Kim-Kwang Raymond Choo, Amin Beheshti, Mohammad Tahir, Nader Sohrabi Safa

Research output: Contribution to journalArticle

Abstract

Blockchain-based platforms, particularly those based on permissioned blockchain, are increasingly popular in a broad range of settings. In addition to security and privacy concerns, organizations seeking to implement such platforms also need to consider performance, especially in latency- or delay-sensitive applications. Performance is generally less studied in comparison to security and privacy, and therefore in this paper we survey existing empirical performance evaluations of different permissioned blockchain platforms published between 2015 and 2019, using a comparative framework. The framework comprises ten criteria. We then conclude the paper with a number of potential future research directions.
Original languageEnglish
Article number102078
Number of pages13
JournalComputers and Security
Volume100
Early online date9 Oct 2020
DOIs
Publication statusE-pub ahead of print - 9 Oct 2020

Keywords

  • Permissioned blockchain
  • Performance evaluation
  • Distributed ledger
  • Consensus Algorithms
  • Decentralized Platforms

ASJC Scopus subject areas

  • Computer Science(all)
  • Law

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