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1. Performance modeling and analysis of Hyperledger Fabric.

Author

Ke, Zuqiang and Park, Nohpill

Subjects
*NUMERICAL analysis, *TEXTILES, *COMPUTER science, *PERFORMANCE theory, *BLOCKCHAINS
Abstract

The performance of a permissioned blockchain, namely, Hyperledger Fabric, is modeled and analyzed in a quantitative manner in this paper. Various types of nodes contribute to the performance of Hyperledger Fabric, and each of those is modeled and tracked along the operational flow of the permissioned blockchain. There are nodes for endorsement, ordering, and commitment to realize the due decentralized network operations. A quantitative model for each type of nodes has been proposed in Ke and Park (Performance study on various Hyperledger Fabric node types and transaction flow, IEEE BCCA, 2021) along with numerical analysis. Each type of the nodes is characterized in terms of transaction/block queue size and waiting time, and the transaction/block arrival rates and the transaction/block service rates are considered for simulation purposes. The analysis is extended beyond the analysis in Ke and Park (Performance study on various Hyperledger Fabric node types and transaction flow, IEEE BCCA, 2021) in this paper to particularly demonstrate how the arrival rates and the service rates co-influence the performance and how the number of channels impacts the performance, in order to ultimately facilitate a more dynamic way of optimization, taking the co-relation across different types of nodes into account. The major contribution of this paper to the field of computer science by creating a series of queuing models to evaluate the performance of different types of nodes: Chaincode Execution and Endorsement, Block Creation and Delivery, Transaction Validation and Block Committing, and Transaction Processing. [ABSTRACT FROM AUTHOR]

Published
2023
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2. Provenance Data Management in Health Information Systems: A Systematic Literature Review.

Author

Sembay, Márcio José, de Macedo, Douglas Dyllon Jeronimo, Júnior, Laércio Pioli, Braga, Regina Maria Maciel, and Sarasa-Cabezuelo, Antonio

Subjects
*MANAGEMENT information systems, *DATA management, *HEALTH information systems, *COMPUTER science, *COMPUTER science conferences, *CONFERENCE papers, *BLOCKCHAINS
Abstract

Aims: This article aims to perform a Systematic Literature Review (SLR) to better understand the structures of different methods, techniques, models, methodologies, and technologies related to provenance data management in health information systems (HISs). The SLR developed here seeks to answer the questions that contribute to describing the results. Method: An SLR was performed on six databases using a search string. The backward and forward snowballing technique was also used. Eligible studies were all articles in English that presented on the use of different methods, techniques, models, methodologies, and technologies related to provenance data management in HISs. The quality of the included articles was assessed to obtain a better connection to the topic studied. Results: Of the 239 studies retrieved, 14 met the inclusion criteria described in this SLR. In order to complement the retrieved studies, 3 studies were included using the backward and forward snowballing technique, totaling 17 studies dedicated to the construction of this research. Most of the selected studies were published as conference papers, which is common when involving computer science in HISs. There was a more frequent use of data provenance models from the PROV family in different HISs combined with different technologies, among which blockchain and middleware stand out. Despite the advantages found, the lack of technological structure, data interoperability problems, and the technical unpreparedness of working professionals are still challenges encountered in the management of provenance data in HISs. Conclusion: It was possible to conclude the existence of different methods, techniques, models, and combined technologies, which are presented in the proposal of a taxonomy that provides researchers with a new understanding about the management of provenance data in HISs. [ABSTRACT FROM AUTHOR]

Published
2023
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3. A study of Bitcoin using scientometric analysis from 2011-2019.

Author

Purnomo, Agung, Sari, Anita Kartika, Aziz, Abdul, Irawan, Dasapta Erwin, and Sugiantoro, Sugiantoro

Subjects
*BITCOIN, *ELECTRONIC money, *ARTIFICIAL intelligence, *COMPUTER science, *CRYPTOCURRENCIES, *BLOCKCHAINS, *DATA visualization
Abstract

Bitcoin in the last decade, has become increasingly popular as a form of electronic currency. This paper aims to review the status and visual map position of research in the internationally Bitcoin studies indexed Scopus that used a bibliometric positioning overview. The research was carried out using bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 3,281 documents issued from 2011 through 2019. The study reveals that Bouri, E. and Chinese Academy of Sciences, Studies were the most active individual scientists and affiliated institutions in Bitcoin studies. In bitcoin studies, the Computer Science and Lecture Notes in Computer Science Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics were the most areas of study and dissemination sources. There were one worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from eight years of publication, this study constructed a convergence axis grouping comprising of bitcoin studies: Bitcoin, E-Finance, Blockchain, Privacy, Cybercrime, Computation, and Systems, abbreviated as the theme BFBPCCS. [ABSTRACT FROM AUTHOR]

Published
2023
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4. A bibliometric mapping overview of Fintech academic literature between 1984 and 2019.

Author

Purnomo, Agung, Asitah, Nur, Khan, Humera Asad Ullah, Mufliq, Achmad, and Rosyidah, Elsa

Subjects
*FINANCIAL technology, *BIBLIOMETRICS, *COMPUTER science, *CRYPTOCURRENCIES, *BIG data, *BLOCKCHAINS, *DATA visualization
Abstract

Fintech is quite important in a company. This paper aims to review the status and visual map position of research in the internationally Fintech publication indexed Scopus that used a bibliometric perspective. The research was carried out using bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 745 documents issued from 1984 to 2019. The study reveal that Lee Kuo Chuen and Bina Nusantara University were the most active individual scientists and affiliated institutions in Fintech publication. In Fintech the Computer Science and Economist United Kingdom were the most areas of study and dissemination sources. There were three worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from thirty-five years of publication, this study constructed a convergence axis grouping comprising of Fintech publication: Blockchain, Innovation, Big data, China, Sales, Insurance, Computers, and Cryptocurrencies, abbreviated as BIBCSICC themes. [ABSTRACT FROM AUTHOR]

Published
2023
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5. A study of Bitcoin using scientometric analysis from 2011-2019.

Author

Purnomo, Agung, Sari, Anita Kartika, Aziz, Abdul, Irawan, Dasapta Erwin, and Sugiantoro, Sugiantoro

Subjects
*BITCOIN, *ELECTRONIC money, *ARTIFICIAL intelligence, *COMPUTER science, *CRYPTOCURRENCIES, *BLOCKCHAINS, *DATA visualization
Abstract

Bitcoin in the last decade, has become increasingly popular as a form of electronic currency. This paper aims to review the status and visual map position of research in the internationally Bitcoin studies indexed Scopus that used a bibliometric positioning overview. The research was carried out using bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 3,281 documents issued from 2011 through 2019. The study reveals that Bouri, E. and Chinese Academy of Sciences, Studies were the most active individual scientists and affiliated institutions in Bitcoin studies. In bitcoin studies, the Computer Science and Lecture Notes in Computer Science Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics were the most areas of study and dissemination sources. There were one worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from eight years of publication, this study constructed a convergence axis grouping comprising of bitcoin studies: Bitcoin, E-Finance, Blockchain, Privacy, Cybercrime, Computation, and Systems, abbreviated as the theme BFBPCCS. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
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6. A bibliometric mapping overview of Fintech academic literature between 1984 and 2019.

Author

Purnomo, Agung, Asitah, Nur, Khan, Humera Asad Ullah, Mufliq, Achmad, and Rosyidah, Elsa

Subjects
*FINANCIAL technology, *BIBLIOMETRICS, *COMPUTER science, *CRYPTOCURRENCIES, *BIG data, *BLOCKCHAINS, *DATA visualization
Abstract

Fintech is quite important in a company. This paper aims to review the status and visual map position of research in the internationally Fintech publication indexed Scopus that used a bibliometric perspective. The research was carried out using bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 745 documents issued from 1984 to 2019. The study reveal that Lee Kuo Chuen and Bina Nusantara University were the most active individual scientists and affiliated institutions in Fintech publication. In Fintech the Computer Science and Economist United Kingdom were the most areas of study and dissemination sources. There were three worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from thirty-five years of publication, this study constructed a convergence axis grouping comprising of Fintech publication: Blockchain, Innovation, Big data, China, Sales, Insurance, Computers, and Cryptocurrencies, abbreviated as BIBCSICC themes. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
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