Title :
Reliability and availability analysis for large networking system
Author_Institution :
Cisco Syst., San Jose, CA, USA
Abstract :
More business applications such as voice, e-commerce, storage and trading are migrated from single purpose communication network to converged IP network, thus the reliability and availability of an IP based system becomes critical. A reliability modeling tool is needed to analyze the reliability and availability of the complex IP networking system. The modeling tool needs to capture complex redundancy behavior, including M-of-N redundancy, imperfect switchover, unplanned hardware and software failures as well as planned software upgrades. Meanwhile, the tool needs to be user friendly for the engineering community. In this paper, we developed a reliability and availability analysis tool for large IP based networking system. The tool uses steady state markov transition diagrams to model the availability of M-of-N redundant components, active-standby and load-sharing redundant schemes, switchover success probability, switchover time, and both unplanned and planned failures. A user-friendly Excel format is also developed to make the complicated model easy to use.
Keywords :
IP networks; Markov processes; electronic commerce; reliability; Excel format; IP based system; active standby; availability analysis; business application; communication network; complex IP networking system; complex redundancy behavior; converged IP network; e-commerce; engineering community; load-sharing redundant scheme; planned software upgrades; redundant components; reliability analysis; reliability modeling tool; steady state Markov transition diagrams; switchover success probability; switchover time; unplanned hardware failures; unplanned software failures; Availability; IP networks; Markov processes; Redundancy; Software; Switches; redundancy; reliability modeling;
Conference_Titel :
Reliability and Maintainability Symposium (RAMS), 2012 Proceedings - Annual
Conference_Location :
Reno, NV
Print_ISBN :
978-1-4577-1849-6
DOI :
10.1109/RAMS.2012.6175453