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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hamilton, C.M. Marlow, N.A. |
| Copyright Year | 1991 |
| Description | Author affiliation: Bell Communications Res., Red Bank, NJ, USA (Hamilton, C.M.; Marlow, N.A.) |
| Abstract | To develop a better understanding of the expected performance of a population of systems, and to establish a basis for developing downtime objectives that better define and control expected service performance, the authors develop a parallel system equipment availability model. The model is used to obtain the steady-state downtime distribution over a specified time period using common channel signaling (CCS) network access links as the reference architecture. It is shown how the downtime distribution can be qualified by modeling a CCS network access segment as a system with two independent, restorable units operating in a load-sharing, parallel mode. It is shown that a steady-state system downtime distribution over a specified time period exists and has a mean equal to the system average downtime objective. Using these results, it is also shown that systems with a small downtime objective achieve steady state rapidly. The proposed availability model shows that with the current average downtime objective of two minutes per year, many access segments (98.35%) will experience zero downtime during one year of steady-state operation, while a few (1%) may have downtime exceeding one hour or more. |
| Starting Page | 590 |
| Ending Page | 596 |
| File Size | 368161 |
| Page Count | 7 |
| File Format | |
| ISBN | 0879426977 |
| DOI | 10.1109/GLOCOM.1991.188453 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1991-12-02 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Performance analysis Availability Carbon capture and storage Steady-state Probability distribution Springs Joining processes Switching systems Signal design Markov processes |
| Content Type | Text |
| Resource Type | Article |
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