由上海对外经贸大学人工智能与变革管理研究院联合研究团队刘峰*、杨成意、孔德莉、齐佳音等撰写的学术论文“A hybrid with distributed pooling blockchain protocol for image storage”发表于Nature子刊《Scientific Reports》（IF：4.379，JCR Q1）。
区块链网络中缺乏存储空间的问题是分布式存储研究领域长期关注的研究重点，目前，有关降低区块链存储需求的算法和协议的研究相对较少，且现有的研究存在局限性，如以牺牲容错性能来提高时间成本等方案，有待进一步完善。面对上述问题，本研究提出了一种基于分布式图像存储的协议（DISP），InterPlanetary File System（IPFS）的帮助下，可以有效提高区块链的存储空间，降低计算成本。研究团队充分利用IPFS和分布式数据库，设计了一个区块链的模拟实验，验证了该协议的可行性。它包含DP算法和其逆运算IDP算法，能够适应分布式场景。DP通过在每个池区按顺序选择像素，将高像素的图像分解成若干低像素的图像，每个节点保存的生成的图像仍然可以识别。IDP将每个节点保存的分布式信息按照原来的顺序进行重组，这样就可以实现对原始文件的无损还原。这些性能上的优势为大规模的工业和商业应用创造了条件。
成果摘要
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.