Enhancing fault tolerance in distributed systems through machine learning techniques
Mohd Haroon, Manish Madhava Tripathi, Jameel Ahmad, Shish Ahmad, Mohd Husain · 2025
In complex and interconnected environments, fault tolerance plays a crucial role in guaranteeing the availability and dependability of distributed systems. The paper starts by describing the basic ideas of distributed systems and the importance of fault tolerance in this context. This paper offers a thorough understanding of fault tolerance in distributed systems, addressing various strategies, challenges, and important considerations. It examines the main categories of errors, highlighting their possible effects on system dependability. These include hardware malfunctions, network problems, software defects, and human error. It examines various approaches to fault tolerance that are used to lessen the impact of errors. They include recovery techniques, consensus procedures, redundancy, and replication. By replicating data or services among several nodes, redundancy through replication guarantees system availability, and consensus techniques allow nodes to concur on the state of the system even in the event of a failure. The study also addresses the obstacles associated with fault tolerance, such as resource consumption, consistency vs availability trade-offs, and the difficulties associated with failure detection and recovery in distributed systems. It discusses the consistency, availability, and partition tolerance (CAP) theorem and how system design is affected by it, highlighting the necessity of making trade-offs according to the demands of the system. Furthermore, cooperation between distributed nodes, the difficulties in preserving consistency in duplicated data, and the function of fault tolerance in guaranteeing data consistency are all covered in detail. In order to preserve consistency throughout the system, the study looks at a number of coordination techniques, including distributed locking, transactional models, and dispute-resolution techniques.