A decision support system for the uses of lightweight blockchain designs for P2P computing

Yuyu, Meng; Nazir, Shah; Guo, Jing; Uddin, Irfan

doi:10.1007/s12083-021-01083-9

Cited by 7 publications

(3 citation statements)

References 75 publications

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“…The speci c functions of Loading [MathJax]/jax/output/CommonHTML/fonts/TeX/fontdata.js each component are described as follows [4]. Decision support systems are applied in a number of areas including blockchain, crowdsourcing, security, and many others [5][6][7][8][9].…”

Section: System Technical Framework Designmentioning

confidence: 99%

Design of enterprise human resources decision support system based on data mining

2022

Soft Comput

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The management and development of human resources have become one of the core contents of enterprise operation and management. At rst, it can only be used as an auxiliary tool in human resources business management, then it can develop various personnel transaction processing subsystems with relatively independent modules and perfect functions, and then realize the integration of various subsystems, Form a relatively complete set of human resource information management system. In recent years, with the rapid development of data mining technology, more and more enterprises begin to pay attention to the completion of various decision-making activities in management through the assistance of computer information systems. This paper designs an enterprise human resources decision support system based on data mining, which can more effectively support human resources management business informatization, data standardization, intelligent decision analysis, optimize human resources business process, improve human resources management business e ciency, provide more effective decision support for enterprise management and promote enterprise development.

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Section: System Technical Framework Designmentioning

confidence: 99%

Design of enterprise human resources decision support system based on data mining

2022

Soft Comput

View full text Add to dashboard Cite

show abstract

Section: System Technical Framework Designmentioning

confidence: 99%

Design of Enterprise Human Resources Decision Support System based on Data Mining

Jian¹

2021

Preprint

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The management and development of human resources have become one of the core contents of enterprise operation and management. At first, it can only be used as an auxiliary tool in human resources business management, then it can develop various personnel transaction processing subsystems with relatively independent modules and perfect functions, and then realize the integration of various subsystems, Form a relatively complete set of human resource information management system. In recent years, with the rapid development of data mining technology, more and more enterprises begin to pay attention to the completion of various decision-making activities in management through the assistance of computer information systems. This paper designs an enterprise human resources decision support system based on data mining, which can more effectively support human resources management business informatization, data standardization, intelligent decision analysis, optimize human resources business process, improve human resources management business efficiency, provide more effective decision support for enterprise management and promote enterprise development.

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“…It is no secret that the popularity of DLT in the last 10 years has led to a heightened interest in such solutions in the enterprise market and the emergence of new DLT platforms customized for it [6,7]. Applications that communicate with each other not through a common centralized database and use blockchain to store data are called DApps [8].…”

Section: Introductionmentioning

confidence: 99%

An Architecture for Distributed Electronic Documents Storage in Decentralized Blockchain B2B Applications

2021

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This paper investigates the problem of distributed storage of electronic documents (both metadata and files) in decentralized blockchain-based b2b systems (DApps). The need to reduce the cost of implementing such systems and the insufficient elaboration of the issue of storing big data in DLT are considered. An approach for building such systems is proposed, which allows optimizing the size of the required storage (by using Erasure coding) and simultaneously providing secure data storage in geographically distributed systems of a company, or within a consortium of companies. The novelty of this solution is that we are the first who combine enterprise DLT with distributed file storage, in which the availability of files is controlled. The results of our experiment demonstrate that the speed of the described DApp is comparable to known b2c torrent projects, and subsequently justify the choice of Hyperledger Fabric and Ethereum Enterprise for its use. Obtained test results show that public blockchain networks are not suitable for creating such a b2b system. The proposed system solves the main challenges of distributed data storage by grouping data into clusters and managing them with a load balancer, while preventing data tempering using a blockchain network. The considered DApps storage methodology easily scales horizontally in terms of distributed file storage and can be deployed on cloud computing technologies, while minimizing the required storage space. We compare this approach with known methods of file storage in distributed systems, including central storage, torrents, IPFS, and Storj. The reliability of this approach is calculated and the result is compared to traditional solutions based on full backup.

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A decision support system for the uses of lightweight blockchain designs for P2P computing

Cited by 7 publications

References 75 publications

Design of enterprise human resources decision support system based on data mining

Design of enterprise human resources decision support system based on data mining

Design of Enterprise Human Resources Decision Support System based on Data Mining

An Architecture for Distributed Electronic Documents Storage in Decentralized Blockchain B2B Applications

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