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一种用于图像存储的具有分布式池化区块链协议的混合体。

A hybrid with distributed pooling blockchain protocol for image storage.

作者信息

Liu Feng, Yang Cheng-Yi, Yang Jie, Kong De-Li, Zhou Ai-Min, Qi Jia-Yin, Li Zhi-Bin

机构信息

School of Computer Science and Technology, East China Normal University, Shanghai, 200062, China.

Institute of Artificial Intelligence and Change Management, Shanghai University of International Business and Economics, Shanghai, 200336, China.

出版信息

Sci Rep. 2022 Mar 2;12(1):3457. doi: 10.1038/s41598-022-07494-9.

DOI:10.1038/s41598-022-07494-9
PMID:35236902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8891285/
Abstract

As a distributed storage scheme, the blockchain network lacks storage space has been a long-term concern in this field. At present, there are relatively few research on algorithms and protocols to reduce the storage requirement of blockchain, and the existing research has limitations such as sacrificing fault tolerance performance and raising time cost, which need to be further improved. Facing the above problems, this paper proposes a protocol based on Distributed Image Storage Protocol (DISP), which can effectively improve blockchain storage space and reduces computational costs in the help of InterPlanetary File System (IPFS). In order to prove the feasibility of the protocol, we make full use of IPFS and distributed database to design a simulation experiment for blockchain. Through distributed pooling (DP) algorithm in this protocol, we can divide image evidence into recognizable several small files and stored in several nodes. And these files can be restored to lossless original documents again by inverse distributed pooling (IDP) algorithm after authorization. These advantages in performance create conditions for large scale industrial and commercial applications.

摘要

作为一种分布式存储方案,区块链网络缺乏存储空间一直是该领域长期关注的问题。目前,针对降低区块链存储需求的算法和协议研究相对较少,现有研究存在牺牲容错性能和增加时间成本等局限性,有待进一步改进。针对上述问题,本文提出一种基于分布式图像存储协议(DISP)的协议,该协议借助星际文件系统(IPFS)能够有效提升区块链存储空间并降低计算成本。为证明该协议的可行性,我们充分利用IPFS和分布式数据库为区块链设计了一个模拟实验。通过该协议中的分布式池化(DP)算法,我们可以将图像证据分割成若干可识别的小文件并存储在多个节点中。并且这些文件在授权后可通过逆分布式池化(IDP)算法再次恢复为无损原始文档。这些性能优势为大规模工商业应用创造了条件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46be/8891285/b432804a87d2/41598_2022_7494_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46be/8891285/26e8c39d266c/41598_2022_7494_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46be/8891285/4d554f8cc785/41598_2022_7494_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46be/8891285/d349dca83df3/41598_2022_7494_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46be/8891285/1ca1b28299d7/41598_2022_7494_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46be/8891285/8541e6efa3a5/41598_2022_7494_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46be/8891285/b432804a87d2/41598_2022_7494_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46be/8891285/26e8c39d266c/41598_2022_7494_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46be/8891285/4d554f8cc785/41598_2022_7494_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46be/8891285/d349dca83df3/41598_2022_7494_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46be/8891285/1ca1b28299d7/41598_2022_7494_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46be/8891285/8541e6efa3a5/41598_2022_7494_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46be/8891285/b432804a87d2/41598_2022_7494_Fig6_HTML.jpg

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