Computer Algorithm Based Modeling of Distributed Storage Performance Enhancement and Data Consistency

Authors

  • Yichi Zhang Mathematics and Computer Science, University of California, San Diego, California, US, 92092

DOI:

https://doi.org/10.70917/jnic-2026-0195

Keywords:

computer algorithm; consistent hash algorithm; Horae model; data consistency; distributed storage

Abstract

This paper focuses on the performance of distributed storage and data, using computer algorithms to achieve the enhancement of distributed storage performance, and constructing a data consistency model to enhance data synchronization during distributed storage. The consistency hash algorithm is used to realize the mapping of data and storage host nodes, and the adjustment mechanism for load balancing is generated based on weights and load balancing metrics. A causal consistency model based on hot data governance (Horae) is constructed to record the changes in version vectors (SVV) due to data synchronization using a visible service, while hot data is sorted and backed up in Horae storage service to speed up the search and simplify the consistency verification process. Test results show that the method in this paper can effectively realize the performance enhancement of distributed storage, and the load balancing difference under dynamic storage clusters is still below 8%. In the data consistency test, the model of this paper also has obvious advantages in throughput, operation response time and remote update visible delay method compared with other models. The results of this paper provide scientific references for further optimization and improvement of distributed storage systems.

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Published

2026-06-05

How to Cite

Yichi Zhang. (2026). Computer Algorithm Based Modeling of Distributed Storage Performance Enhancement and Data Consistency. Journal of Network and Innovative Computing, 14, 15. https://doi.org/10.70917/jnic-2026-0195

Issue

Vol. 14 (2026)

Section

Original Article

License

Copyright (c) 2026 Yichi Zhang

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