High-Performance Carbon Cycle Supply Data Sharing Method Based on Blockchain Multichain Technology
Journal Title: Journal of Intelligent Management Decision - Year 2024, Vol 3, Issue 2
Abstract
In the evolution of blockchain technology, the traditional single-chain structure has faced significant challenges, including low throughput, high latency, and limited scalability. This paper focuses on leveraging multichain sharding technology to overcome these constraints and introduces a high-performance carbon cycle supply data sharing method based on a blockchain multichain framework. The aim is to address the difficulties encountered in traditional carbon data processing. The proposed method involves partitioning a consortium chain into multiple subchains and constructing a unique “child/parent” chain architecture, enabling cross-chain data access and significantly increasing throughput. Furthermore, the scheme enhances the security and processing capacity of subchains by dynamically increasing the number of validator broadcasting nodes and implementing parallel node operations within subchains. This approach effectively solves the problems of low throughput in single-chain blockchain networks and the challenges of cross-chain data sharing, realizing more efficient and scalable blockchain applications.
Authors and Affiliations
Yuanjun Liu, Lin Zhang, Ashim Khadka
Analysis of the Impact of Artificial Intelligence in Enhancing the Human Resource Practices
The lethal coronavirus illness (COVID-19) has evoked worldwide discussion. This contagious, sometimes fatal illness, is caused by the severe acute respiratory syndrome coronavirus 2. So far, COVID-19 has quickly spread t...
Different Approaches for Performance Appraisal and Bonus Calculation: The Case of Truck Drivers
Market changes last years have led to an additional understanding of people importance as the main resources of companies. Truck drivers are one of the occupations with the greatest shortage. More attention is being paid...
Fuzzy Cognitive Map-Based Analysis for Optimizing Watermelon Production Management
This study presents an in-depth investigation of watermelon cultivation in Bangladesh, focusing on the assessment of production levels, costs, influential factors, and the application of Fuzzy Cognitive Map (FCM) technol...
Strategic Framework for Leveraging Artificial Intelligence in Future Marketing Decision-Making
Disruptive technologies such as the big data analytics, blockchain, Internet of Things, and artificial intelligence have each impacted how businesses operate. The most recent example of disruptive technology is artificia...
Optimization of Production Scheduling Through a Multi-Objective Constrained Greedy Model
The traditional manufacturing sector in China is increasingly challenged by rising labour costs and the diminishing demographic advantage. These issues exacerbate existing inefficiencies, such as limited value addition,...