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High Performance Distributed Storage System Design and Implementation
Junyu Shi,Yuanyuan Qiao *
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876;School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876
*Correspondence author
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Funding: none
Opened online:14 March 2022
Accepted by: none
Citation: Junyu Shi,Yuanyuan Qiao.High Performance Distributed Storage System Design and Implementation[OL]. [14 March 2022] http://en.paper.edu.cn/en_releasepaper/content/4756675
 
 
With the rapid development of the Internet, the explosive growth of Internet data has brought greater challenges to its underlying storage system. This paper implements a high-performance distributed storage system using the Raft consensus algorithm. High performance is ensured by implementing features such as data partitioning, load balancing, and system scalability. Multi-Raft cell partitioning is introduced to maximise disk throughput, and an Efficient load balancing strategy avoids single hotspot problems. A highly compatible system client is achieved through the Fuse user-state file system. The system exhibits excellent IO performance under typical workloads.
Keywords:distributed storage system; raft consensus algorithm; fuse file system
 
 
 

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