Tag Archives: network reliability

Reliability Society Denver Section Meeting on Network Reliability and Prognostics

On Friday, October 26th, the Denver Section of the IEEE Reliability Society held a technical meet at the Tivoli Building of the University of Colorado-Denver. Our newest Chair, Dr. Jason W. Rupe, presented his observations and work on the advances … Continue reading

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FMECA with Wireshark

Returning from Sharkfest, I found that my laptop’s configuration must have changed. The laptop, running Windows 7 home version, was now not able to see a few of the non-windows machines on my network, including the NAS. Assuming the cause … Continue reading

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Network availability and performability modeling tricks

I read a lot, and I mean a lot, of network reliability, availability, and performability papers. The ones we publish in the IEEE Transactions on Reliability, I read multiple times. So there are a lot of relationships that go unnoticed, … Continue reading

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Otherwise coherent networks become incoherent when capacity is concerned

See the network in Figure 1 below. Source node 1 fails, which from a pure availability perspective disrupts only traffic originating or terminating at node 1 because all other nodes can still communicate. So a coherent network (as is the … Continue reading

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Sorting through the nines to compare reliability or availability in designs

When comparing architectures for availability and reliability, it is often difficult to comprehend the small differences in the estimates. It is tempting to compare in terms of downtime, but doing that is a slippery slope; people like to think of … Continue reading

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Capacity management’s slippery slope, and into analytics

Capacity Management (CM) from a telecommunications and IT perspective has a fairly broad meaning, sometimes overlapping some related terms. While understandable, it is unfortunate because of the confusion it causes. But no worries, as we can sort it out pretty … Continue reading

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QBQ! and engineering

Engineers who solve problems (which had better be all of us!) can benefit from the concept of QBQ! create by John G. Miller (www.qbq.com). A common tool for solving engineering and business problems is root cause analysis. More specifically in … Continue reading

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