Research on cloud storage system based on Moosefs industrial acquisition data

Research on cloud storage system based on Moosefs industrial acquisition data

Nanjing University of Posts and telecommunications Ouri

This paper uses moosefs (MFS) to build the cloud storage System of industrial collection data and analyzes the MFS code in detail, and puts forward the design idea of storage node as compute node at the same time. In order to solve the problem that the large amount of industrial data can not be stored, a special distributed storage algorithm is designed, which provides a special interface to store industrial data. Querying large quantities of industrial data in cloud storage system consumes a lot of time and resources, and the parallel distributed query algorithm designed in this paper can greatly shorten the query time and improve the resource utilization; in the process of querying the mass random data, the query efficiency is also the key problem. The distributed indexing algorithm and the random data parallel distributed algorithm designed in this paper improve the efficiency of query.

Research on cloud storage system based on Moosefs industrial acquisition data