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

doi:10.1016/j.cose.2020.102078

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 journal › Article › peer-review

80 Citations (Scopus)

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 language	English
Article number	102078
Number of pages	13
Journal	Computers and Security
Volume	100
Early online date	9 Oct 2020
DOIs	https://doi.org/10.1016/j.cose.2020.102078
Publication status	Published - 25 Jan 2021

Keywords

Permissioned blockchain
Performance evaluation
Distributed ledger
Consensus Algorithms
Decentralized Platforms

ASJC Scopus subject areas

Computer Science(all)
Law

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10.1016/j.cose.2020.102078

https://www.sciencedirect.com/science/article/pii/S0167404820303515

Cite this

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AU - Sohrabi Safa, Nader

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AB - 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.

KW - Permissioned blockchain

KW - Performance evaluation

KW - Distributed ledger

KW - Consensus Algorithms

KW - Decentralized Platforms

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ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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