Data Blocks Scheduling Schemes for Regional Distributed Storage Networks

In the Web3, the data distributed storage has become a crucial method for secure, reliable, and efficient data storage, and an efficient distributed scheduling and distribution strategy is essential for achieving rapid data response. This paper proposes a distributed data scheduling strategy that improves the firefly algorithm to achieve optimal scheduling path selection for regional data storage. By considering the storage nodes spatial status, it enables the rapid distribution and storage of data blocks. The storage path is implemented by smart contracts and stored on the blockchain with the data block identifier. Through simulation, our proposed scheduling algorithm demonstrates better performance and higher trustworthiness compared to traditional storage models.

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Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/blockchain62396.2024.00077
Primary Topic
Cloud Computing and Resource Management
Type
article
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article

Data Blocks Scheduling Schemes for Regional Distributed Storage Networks

Tongtong Cheng, Zihang Yin, Cheng Chi, Yang Liu
Cloud Computing and Resource Management
article

Data Blocks Scheduling Schemes for Regional Distributed Storage Networks

Tongtong Cheng, Zihang Yin, Cheng Chi, Yang Liu
article en

Abstract

In the Web3, the data distributed storage has become a crucial method for secure, reliable, and efficient data storage, and an efficient distributed scheduling and distribution strategy is essential for achieving rapid data response. This paper proposes a distributed data scheduling strategy that improves the firefly algorithm to achieve optimal scheduling path selection for regional data storage. By considering the storage nodes spatial status, it enables the rapid distribution and storage of data blocks. The storage path is implemented by smart contracts and stored on the blockchain with the data block identifier. Through simulation, our proposed scheduling algorithm demonstrates better performance and higher trustworthiness compared to traditional storage models.

China Academy of Information and Communications Technology (CN)
Openalex Percentile: Top 76%
Cloud Computing and Resource Management
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