fault tolerance

STUDY OF RELIABILITY AND FAULT TOLERANCE MANAGEMENT IN INFORMATION AND COMMUNICATION NETWORKS: MODELING AND TESTING OF DEFAULT GATEWAY REDUNDANCY PROTOCOLS

The article is devoted to researching reliability and fault tolerance management mechanisms in infocommunication networks, focusing on modeling and testing of gateway redundancy protocols. The work considers the VRRP (Virtual Router Redundancy Protocol) and GLBP (Gateway Load Balancing Protocol) protocols, which ensure continuous network operation in the event of a primary gateway failure. The purpose of the study is to compare these protocols using the virtual environments EVE-NG and Containerlab, as well as to test them on physical and virtual devices.

DEVELOPMENT OF NETWORK SIMULATION MODEL FOR EVALUATING THE EFFICIENCY OF DISTRIBUTED CONSENSUS TAKING INTO ACCOUNT THE INSTABILITY OF NETWORK CONNECTIONS

The dynamic and unpredictable nature of network environments poses a significant challenge for distributed systems, particularly those relying on consensus algorithms for state management and fault tolerance. To address this challenge, this article introduces a novel simulation model designed to study the impact of unstable network connections on clusters running consensus algorithms. The model is engineered to mimic varying degrees of network instability, including latency fluctuations and connection disruptions, which are characteristic of real-world distributed systems.

The Criteria for Evaluating the Fault Tolerance of Signal Processing Systems

The modern direction design of fault-tolerant of signal processing systems is considered. Based on a comprehensive analysis of the set of factors at all stages of development, starting with the analysis of the characteristics of tasks and ending with possible damage or dysfunction of the during operation, restrictions imposed on the operating parameters of the system, features of the system and the specifics of its use, offered a comprehensive criterion for evaluating fault tolerance of systems signal processing.