Design and Development of a BaaS System Based on Intelligent Scheduling and Operation Cloud-Edge Platform

As China's electricity market continues to evolve, the increasing number and diversity of market participants have led to a rapid increase in data volume. An immediate challenge is designing a robust blockchain system that ensures not only the transparency, credibility, tamper-resistance, trace...

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Bibliographic Details
Published inIAENG international journal of computer science Vol. 51; no. 3; p. 222
Main Authors Hu, Yaping, Lin, Yiqian, Nie, Yongquan, Peng, Chaoyi, He, Yubin, Liu, Yuxuan, Ma, Guang, Seng, Dewen
Format Journal Article
LanguageEnglish
Published Hong Kong International Association of Engineers 01.03.2024
Subjects
Blockchain
Cloud computing
Cryptography
Data transmission
Electricity distribution
Robustness
Scheduling
China
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Summary:As China's electricity market continues to evolve, the increasing number and diversity of market participants have led to a rapid increase in data volume. An immediate challenge is designing a robust blockchain system that ensures not only the transparency, credibility, tamper-resistance, traceability, privacy, and security of substantial market data in a complex environment, but also provides trusted data support for intelligent dispatching within the power market. This paper proposes a solution to this pressing issue through Blockchain as a Service (BaaS). BaaS leverages the capabilities of cloud computing platforms to enhance the ease and efficiency of deploying and operating blockchain systems. Specifically, the paper introduces a BaaS system built upon an integrated intelligent scheduling and operation cloud-edge platform (CEP). It incorporates technological solutions such as data on-chain, trusted comparison, edge cluster data transmission, optimized transaction authentication, and lightweight storage nodes. Rigorous testing has conclusively demonstrated that the proposed BaaS system meets the requirements of the digital transformation of the China Southern Power Grid, and provides robust technical support for its future practical applications.
ISSN:1819-656X
1819-9224