Studying the Efficiency of the Apache Kafka System Using the Reduction Method, and Its Effectiveness in Terms of Reliability Metrics Subject to a Copula Approach

• Published in: Applied sciences Vol. 14; no. 15; p. 6758
• Main Authors: Elshoubary, Elsayed E., Radwan, Taha
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2024
• Subjects: availability; cost analysis; Design; Failure; Gumbel–Hougaard family copula distribution; Investigations; Markov analysis; mathematical model; MTTF; Operating systems; Partial differential equations; Preventive maintenance; Profitability; Profits; reliability; Sensitivity analysis
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app14156758

This research envisages a system composed of three subsystems connected in series. Each subsystem comprises three units connected in parallel. For the system to function, at least one unit per subsystem must remain operational. Unit failure is governed by an exponential distribution, while unit repair is governed by either a general distribution or a Gumbel–Hougaard family copula distribution. The primary goal of this research is to compare the overall performance of our system under these two different regimes for performing repairs. Laplace transforms and supplementary variable methods are employed in solving the system. Our metrics for evaluating system performance are the availability, reliability, mean time to failure, and cost. The second goal of this research is to showcase a strategy for reduction that enhances the overall efficiency and availability of our system.