Analysis reveals that varying N-values impacts queue length and server utilization, suggesting improved strategies for managing server failures.
This study investigates the efficacy of N-policy in mitigating server failures within single-server queues, incorporating considerations for setup times. Server reliability is a critical factor in queueing systems, as unexpected failures can disrupt service and degrade performance. The N-policy, which regulates the number of spare servers maintained to handle failures, is examined in this context. We analyze the impact of varying N-values on system performance metrics such as average waiting time, queue length, and server utilization. Additionally, we incorporate setup time considerations, recognizing the time required to bring a failed server back into operation after repair. Through analytical modelling and simulation techniques, we evaluate the trade-offs between N-policy parameters and setup times to optimize system performance under reliability constraints. Our findings provide insights into effective strategies for managing server failures in single-server queues, enhancing system resilience and efficiency.
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Kumar et al. (2024) studied this question.
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