Design and Evaluation of Consistency and Fault Tolerance Mechanisms in Distributed File Systems

Abstract

This paper studies the consistency and fault tolerance mechanism in distributed file systems, aiming to evaluate and optimize the performance of the system under different conditions such as network delays and node failures. In response to the consistency problem, this paper designs a test scheme based on strong consistency and eventual consistency models, and analyzes the performance changes of the system under different operating loads. Through fault tolerance testing, various node failure scenarios are simulated to evaluate the effectiveness of replica recovery and redundant storage mechanisms in ensuring data consistency and system availability. The experimental results show that the strong consistency model has advantages in ensuring data consistency, but its performance is poor under high load or high latency conditions. Although the eventual consistency model sacrifices a certain degree of immediate consistency, it has obvious advantages in throughput and response time. The system can effectively recover data when facing a single node failure, but as the number of failed nodes increases, the recovery time and the probability of data loss also increase. Finally, this paper proposes an optimized distributed file system design scheme, which combines dynamic consistency strategy and replica management mechanism to improve the fault tolerance and performance of the system in complex environments, and provides new ideas and methods for the practical application of distributed storage systems.