Blockchain-Powered Big Data Analytics Platform

Vo, Hoang Tam; Mohania, Mukesh; Verma, Dinesh; Mehedy, Lenin

doi:10.1007/978-3-030-04780-1_2

Cited by 15 publications

(10 citation statements)

References 8 publications

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“…Even though many companies, especially healthcare institutions, are data driven, and the volume of data generated in this era or another era like the IoT is growing significantly [74], data security and privacy are continuously violated both unintentionally or by illicit users. As a result, many institutions have experienced an enormous loss of reputation and capital.…”

Section: Data Managementmentioning

confidence: 99%

Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research

et al. 2019

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One of the most important discoveries and creative developments that is playing a vital role in the professional world today is blockchain technology. Blockchain technology moves in the direction of persistent revolution and change. It is a chain of blocks that covers information and maintains trust between individuals no matter how far they are. In the last couple of years, the upsurge in blockchain technology has obliged scholars and specialists to scrutinize new ways to apply blockchain technology with a wide range of domains. The dramatic increase in blockchain technology has provided many new application opportunities, including healthcare applications. This survey provides a comprehensive review of emerging blockchain-based healthcare technologies and related applications. In this inquiry, we call attention to the open research matters in this fast-growing field, explaining them in some details. We also show the potential of blockchain technology in revolutionizing healthcare industry.

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Section: Data Managementmentioning

confidence: 99%

Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research

et al. 2019

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“…Within the context of informetrics, crucial work remains to take our requirements further so that they encompass calculations of more substantial metrics such as citation counts per author, h-Index values, and to provide trustworthy decentralised computations of many useful author-, journal-and article-based bibliometrics. With the growth of distributed data analytics on the horizon, solutions are slowly appearing that enable big data analytics on blockchains [33], which shows real promise for developing our informetrics use case.…”

Section: Discussionmentioning

confidence: 99%

Scholarly publishing on the blockchain – from smart papers to smart informetrics

Hoffman

Ibáñez

Simperl

2019

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Blockchains provide decentralised, tamper-free registries of transactions among partners that may not trust each other. For the scientific community, blockchain smart contracts have been proposed to decentralise and make more transparent multiple aspects of scholarly communications. We show how an Ethereum-based suite of smart contracts running on top of a Web-enabled governance framework can facilitate decentralised computation of citations that is trustworthy. We implement and evaluate Smart Papers, and extend it with a model for decentralised citation counts. We show how our approach complements current models for decentralised publishing and informetrics calculation, and analyse cost and performance implications.

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“…In order to perform analytics like those described in Sec. 2 within a blockchain network [14], we have to consider the performance and scalability of the solutions [15], especially when we need to adapt to varying information flows and additional constraints, where elasticity [5] can provide capabilities to react and accommodate to these changes autonomously. In [7], authors provide a formal model of elasticity as a three-dimensional space involving resources, quality, and cost aspects that provide the appropriate framework to define and analyze the elasticity properties of an information system.…”

Section: Related Workmentioning

confidence: 99%

An Elasticity Framework for Smart Contracts

Dustdar

García

Fernández

et al. 2021

2021 IEEE International Conference on Smart Data Services (SMDS)

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Smart contracts provide computation facilities to blockchains, enabling many application scenarios where automatic analysis and complex transactions can be performed. However, in situations where the flow of information is variable and there are time, quality, and/or cost constraints imposed, smart contracts do not usually offer enough performance. In this article, we describe an elasticity framework that enables dynamic adaptation of smart contracts with respect to used resources, analytics quality, and incurred costs in a transparent manner for both smart contract developers and users. We validate our framework in an Internet of Things and Smart City scenario where several analytics are computed using Elastic Smart Contracts that dynamically adapt the appropriate elasticity variables.

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Blockchain-Powered Big Data Analytics Platform

Cited by 15 publications

References 8 publications

Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research

Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research

Scholarly publishing on the blockchain – from smart papers to smart informetrics

An Elasticity Framework for Smart Contracts

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