Abstract | ||
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Defects per million (DPM), defined as the number of calls out of a million dropped due to failures, is an important service (un)reliability measure for telecommunication systems. Most previous research derives the DPM from steady-state system availability model. In this paper, we develop a novel method for DPM computation which takes into consideration not only system availability, but also the impact of service application as well as the transient behavior of failure recovery. We illustrate this approach using a real system which is the IBM SIP SLEE cluster. Our method takes into account software/hardware failures, different stages of recovery, different phases of call flow, retry attempts and the interactions between call flow and failure/recovery behavior. |
Year | DOI | Venue |
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2010 | 10.1109/ISSRE.2010.18 | Software Reliability Engineering |
Keywords | Field | DocType |
fault tolerance,signalling protocols,telecommunication computing,telecommunication network reliability,DPM computation,IBM SIP SLEE cluster,call flow,defect per million,dropped call,failure recovery,hardware failure,software failure,steady state system availability model,telecommunication service reliability measure,Imperfect coverage,Markov chain,Session Initiation Protocol,Software Fault Tolerance,Voice over IP,user-perceived reliability | IBM,Computer science,Server,Defects per million opportunities,Software fault tolerance,Session Initiation Protocol,Real-time computing,Fault tolerance,Maintenance engineering,Reliability engineering,Voice over IP | Conference |
ISSN | ISBN | Citations |
1071-9458 E-ISBN : 978-0-7695-4255-3 | 978-0-7695-4255-3 | 10 |
PageRank | References | Authors |
0.74 | 4 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Trivedi, K.S. | 1 | 7721 | 700.23 |
Dazhi Wang | 2 | 194 | 12.64 |
Jason Hunt | 3 | 10 | 0.74 |