Research on Query Process Optimization of InterPlanetary File System layered System Based on Cuckoo Filter
Min Zhao, Jun Lu, Wei Zhang, Lei Liang, Ran Tang, Jiakai Peng · 2022
With the development of 5G technology, the Internet of things and the Internet, the amount of data mastered by people is rapidly increasing. How to store and query these data becomes more and more important. InterPlanetary file system (IPFS) is a decentralized storage mode, which can meet the growing data storage demand. However, the data query based on logical distance is imperfection, and the physical distance may be too long, which leads to the decrease of request efficiency and the overall query efficiency of IPFS is low. Therefore, an IPFS layered system is designed to solve this problem. Firstly, according to whether the IPFS node can be active in the IPFS layered system for a long time, it is divided into the regional center node and the data center node; Secondly, the cuckoo filter is introduced to represent the data stored in the central node of an IPFS region to achieve query optimization. During each data query, judge whether the queried data is in the regional central node cluster according to the cuckoo filter, and whether it is necessary to access the regional central node cluster, so as to reduce the logical distance of the IPFS layered system query and optimize the IPFS data query process.