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Modeling planned downtime

Authors: Douglas A. Kimber; Xuemei Zhang; Paul H. Franklin; Eric J. Bauer;

Modeling planned downtime

Abstract

In general, service providers have only placed system availability requirements on equipment providers for unplanned system downtime. However, reliability expectations of service providers are shifting in a manner that places requirements on equipment providers to manage all system downtime (i.e., planned system downtime as well as unplanned system downtime) rather than focusing solely on guaranteeing unplanned system downtime. Furthermore, service providers continuously request improvements in total system availability (e.g., requiring 99.999% system availability, which translates to 5.25 minutes of total system downtime per year). While numerous models exist for modeling unplanned system downtime, there are no equivalent models for planned downtime. This paper presents a planned downtime event taxonomy, characterizes the planned downtime for each category in the taxonomy, and incorporates the results into a model for predicting the total planned downtime associated with a system. It then uses the model on an example system, demonstrating the capability of the model in assessing various system design alternatives.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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