Server Error Control in Distributed Systems: A Comprehensive Review

As modern distributed systems get more complex and bigger, the server error control mechanisms have to be very robust for reliability, availability and good performance. Such distributed computing paradigms, e.g., cloud computing, edge computing, microservices, are growing with further demands of advanced fault tolerance and recovery strategies. The focus of this paper is on error detection, mitigation, and recovery strategies, and consists of a review of the existing server error control techniques. Heartbeat monitoring, consensus algorithms, exception logging, etc., are examined in detail in terms of various approaches. Moreover, several fault tolerant algorithms like Byzantine fault tolerance (BFT) and Replicated state machines are explored for their usage in distributed environment. The paper also goes on to discuss the role that predictive maintenance, reinforcement learning driven self-healing systems, and hybrid fault tolerant architectures play in improving the error management. Changes in structure are made to the given sentence, and finally future directions, such as use of quantum computing to construct error control in large scale distributed systems and intelligent automation, are discussed.