2017 IEEE International Conference on Software Architecture (ICSA) 2017
DOI: 10.1109/icsa.2017.33
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A Taxonomy of Blockchain-Based Systems for Architecture Design

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Cited by 547 publications
(532 citation statements)
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“…This is the starting point of a structured literature review process that has been proposed in [16][17][18]. A taxonomy for the various blockchain architectures proposed by these researchers as well as the advantages and limitations of each of these architectures are offered in [2]. Primarily, these trust architectures can be classified along three main dimensions: (1) centralized versus distributed; (2) private/permissioned versus public/open; and (3) on-chain versus off-chain data storage.…”
Section: Related Workmentioning
confidence: 99%
“…This is the starting point of a structured literature review process that has been proposed in [16][17][18]. A taxonomy for the various blockchain architectures proposed by these researchers as well as the advantages and limitations of each of these architectures are offered in [2]. Primarily, these trust architectures can be classified along three main dimensions: (1) centralized versus distributed; (2) private/permissioned versus public/open; and (3) on-chain versus off-chain data storage.…”
Section: Related Workmentioning
confidence: 99%
“…Xu et al [6] provide a further detailed taxonomy which can help in choosing architecture for a blockchain system. This paper classifies various blockchain based system configurations against multiple parameters such as performance, cost efficiency and flexibility.…”
Section: Blockchain Taxonomymentioning
confidence: 99%
“…It provides a shared and distributed architecture [36][37][38][39]. Based on the concept, the hashed data of raw data (uploaded data by platform users) can be generated and transferred to the open data governance.…”
Section: Technical Considerationsmentioning
confidence: 99%
“…Blockchain is identified as one of the possible technologies. It has emerged to support a digital currency based on a peer-to-peer network without trusted authorities [37]. It has been recently highlighted as decentralized governance for data provenance or data ownership [37,39].…”
Section: Literature Reviewmentioning
confidence: 99%
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