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Spares-inventory sizing for end-to-end service availability

机译:备件库存的大小确定端到端服务的可用性

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Most service providers guarantee end-to-end service availability through service-level agreements with subscribers. A useful strategy for maintaining service, or restoring service quickly, in the event of network element failure, is to develop a sparing plan that is closely tied to end-to-end availability objectives, from which service-level agreements are derived. This paper proposes a new model for sizing the spare inventory to meet an end-to-end service availability objective. A simple approach is to compute a stockout probability (the probability of not having a spare available when it is needed) for a field replaceable unit, and then use the Erlang C formula to compute the number of spares. This is illustrated using components in a dedicated Internet access network. A second approach takes the cost components associated with spares into consideration. The number of spares is obtained by minimizing the life cycle cost subject to an availability constraint. This is illustrated by sizing the number of optical amplifiers in an optical transport network. The two approaches proposed in this paper are better than the standard approach because the stockout probability is not selected arbitrarily; it is derived from an end-to-end availability objective.
机译:大多数服务提供商通过与订户之间的服务级别协议来保证端到端服务的可用性。在网元发生故障的情况下,用于维护服务或快速恢复服务的一种有用策略是制定一个备用计划,该计划与端到端可用性目标密切相关,从中可以得出服务级别协议。本文提出了一种用于确定备用库存大小的新模型,以满足端到端服务可用性的目标。一种简单的方法是计算现场可更换单元的缺货概率(需要时没有可用备件的概率),然后使用Erlang C公式计算备件数量。使用专用Internet访问网络中的组件对此进行了说明。第二种方法将与备件相关的成本组成部分考虑在内。备件的数量是通过使生命周期成本受可用性约束最小化而获得的。通过确定光传输网络中光放大器的数量来说明这一点。本文提出的两种方法比标准方法更好,因为没有随机选择缺货概率。它源自端到端可用性目标。

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