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首页> 外文期刊>British Journal of Mathematics Computer Science >Machine Interference Problem with Reliable Server underMultiple Vacations Policy
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Machine Interference Problem with Reliable Server underMultiple Vacations Policy

机译:多休假策略下可靠服务器的机器干扰问题

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摘要

The machine interference problem with reliable server under multiple vacations policy is considered. There are M similar machines that are subject to breaks down with a single server who is responsible for repairing the failed machines under multiples vacations. The failed machines arrive for service according to Poisson distribution with rate λ. The service time distributions of the failed machines are assumed to be exponentially distributed with state dependent service rate μn, where n is the number of failed machines. The differential difference equations obtained for the reliable server is solved through in MATLAB to obtain transient probability for the system. The transient probabilities are used to compute the operational measures of performance for the systems. The effects of failure rate, service rate and vacation length for the system were studied. We show that with the same service rateμ , failure rate λ and vacation length θ, as the number of operating machine in the system increases the variance also increases. We also found that the variance under multiple vacations system is slightly less than that of single vacation. This means that the multiple vacations models may be preferred to the single vacation. The result also shows that the CPU time for the machine interference problem with reliable server under single vacation is slightly lower than that of machine interference problem with an unreliable server under single vacation policy.
机译:考虑了多休假策略下可靠服务器的机器干扰问题。一台服务器可能会损坏M台类似机器,这些服务器负责在多次休假期间修复故障的机器。故障机器根据泊松分布以速率λ到达服务。假定故障机器的服务时间分布以状态依赖的服务速率μn呈指数分布,其中n是故障机器的数量。在MATLAB中通过求解为可靠服务器获得的差分方程,获得系统的暂态概率。暂态概率用于计算系统性能的操作度量。研究了故障率,服务率和休假时间对系统的影响。我们表明,在相同的服务率μ,故障率λ和休假长度θ的情况下,随着系统中操作机器数量的增加,方差也会增加。我们还发现,多重休假制度下的方差略小于单休假。这意味着多个假期模型可能比单个假期更可取。结果还表明,在单休假策略下,具有可靠服务器的机器干扰问题的CPU时间比在单休假策略下,具有不可靠服务器的机器干扰问题的CPU时间略短。

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