Innovation of dynamic management model for teaching resources of business administration in cloud computing environment

This article analyzes the characteristics of security redundancy structure and cloud computing in the dynamic management system of business management teaching resources. Taking the ZC system as an example, based on the integration of blockchain decentralization technology, the overall scheme of a cluster-based ZC service system based on cloud computing is proposed. Develop and design custom consensus algorithms and smart contracts that align with the foundational principles of decentralized blockchain technology. By implementing a reputation-based evaluation system for nodes within the network, the influence of malicious nodes on the consensus procedure can be effectively mitigated. This paper investigates the potential risk of single-point failures in the security redundancy architecture of the dynamic management system for business administration teaching resources, particularly within the ZC subsystem, which is critical to ensuring system integrity. Create a blockchain-based program and propose a deployment method for a minimal system using containerization, while also introducing an attack tree analysis consensus algorithm to address potential information security risks. Assess the impact of factors such as block size and the number of nodes in the cluster on the throughput, consensus latency, and cycle stability of the consensus algorithm, providing a comprehensive evaluation of system performance. The proposed ZC cluster in this study complies with the SIL4 security standard, offering superior reliability compared to traditional ZC systems in terms of security and fault tolerance. Regarding system availability, the PoTH consensus algorithm, as proposed, exhibits an average delay of 4.33 ms with a standard deviation of 0.173 ms across multiple trials. The algorithm’s cycle stability ensures smooth operation of up to 40 trains while remaining within the maximum delay threshold of 100 ms.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-02-20
DOI
https://doi.org/10.1177/14727978251318994
Citations
1
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
3.25
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article

Innovation of dynamic management model for teaching resources of business administration in cloud computing environment

LI Wen-jun, Wenle Li
1 citations
Journal of Computational Methods in Sciences and Engineering
Cloud Computing and Resource Management
3.25
article

Innovation of dynamic management model for teaching resources of business administration in cloud computing environment

LI Wen-jun, Wenle Li
article en
1 citations

Abstract

This article analyzes the characteristics of security redundancy structure and cloud computing in the dynamic management system of business management teaching resources. Taking the ZC system as an example, based on the integration of blockchain decentralization technology, the overall scheme of a cluster-based ZC service system based on cloud computing is proposed. Develop and design custom consensus algorithms and smart contracts that align with the foundational principles of decentralized blockchain technology. By implementing a reputation-based evaluation system for nodes within the network, the influence of malicious nodes on the consensus procedure can be effectively mitigated. This paper investigates the potential risk of single-point failures in the security redundancy architecture of the dynamic management system for business administration teaching resources, particularly within the ZC subsystem, which is critical to ensuring system integrity. Create a blockchain-based program and propose a deployment method for a minimal system using containerization, while also introducing an attack tree analysis consensus algorithm to address potential information security risks. Assess the impact of factors such as block size and the number of nodes in the cluster on the throughput, consensus latency, and cycle stability of the consensus algorithm, providing a comprehensive evaluation of system performance. The proposed ZC cluster in this study complies with the SIL4 security standard, offering superior reliability compared to traditional ZC systems in terms of security and fault tolerance. Regarding system availability, the PoTH consensus algorithm, as proposed, exhibits an average delay of 4.33 ms with a standard deviation of 0.173 ms across multiple trials. The algorithm’s cycle stability ensures smooth operation of up to 40 trains while remaining within the maximum delay threshold of 100 ms.

Journal of Computational Methods in Sciences and EngineeringVol. 25(4)
Kyungil University (KR), Henan Polytechnic University (CN)
Openalex Percentile: Top 11%
Cloud Computing and Resource Management
3.25
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