Comparative analysis of .NET-based solutions for iterative task execution in distributed fault-tolerant systems

Teymur Zeynally

Abstract


This paper presents the results of a comparative analysis of .NET-based solutions for iterative task execution in distributed fault-tolerant systems. The study examines peer-to-peer distributed systems capable of iteratively performing scheduled tasks. Among the compared solutions are Quartz, Hangfire, and Recurrent Worker Service. The research investigates the dependency of measurable metrics such as iteration execution accuracy, minimum execution interval, and resource consumption on external destabilizing factors, including infrastructure (node failures) and network issues (bandwidth, delays, packet loss). The methodological basis of the study is experimental. The experiment is conducted on two servers, with one hosting the application nodes and the other hosting nodes of a synchronously replicated storage system. A series of tests are conducted on the application nodes where network and infrastructure destabilizing factors are controlled and simulated. During the experiment, hardware metrics are measured, and telemetry is collected from the applications. An analysis and calculation of statistical parameters are conducted based on the collected data, after which the results are presented in the form of tables and diagrams. The results of this work can be applied in the design and optimization of distributed systems requiring high levels of fault tolerance and efficiency.

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References


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