On/off process modeling of IP network failures

Pirkko Kuusela, Ilkka Norros

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

19 Citations (Scopus)

Abstract

A reliability model for IP networks is considered, where the routers and links are modeled by independent stationary on/off processes. Component downtimes may obey any probability distribution. The model combines component reliability to a topological analysis, taking into account the routing rules of the network. This allows the derivation of on-off processes describing with high accuracy the IP-availability delivered to customers of each access router. The approach also provides estimates for risk in terms of lost traffic and allows analytic comparison of basic strategies for reliability improvement. The methodology is illustrated by studying the Finnish research backbone network. (15 refs.)
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIEEE/IFIP International Conference on Dependable Systems & Networks, DSN 2010
Place of PublicationPiscataway, NJ, USA
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages585-594
ISBN (Electronic)978-1-4244-7501-8
ISBN (Print)978-1-4244-7500-1
DOIs
Publication statusPublished - 2010
MoE publication typeA4 Article in a conference publication
EventIEEE/IFIP International Conference on Dependable Systems & Networks, DSN 2010 - Chicago, IL, United States
Duration: 28 Jun 20101 Jul 2010

Conference

ConferenceIEEE/IFIP International Conference on Dependable Systems & Networks, DSN 2010
Abbreviated titleDSN 2010
CountryUnited States
CityChicago, IL
Period28/06/101/07/10

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Kuusela, P., & Norros, I. (2010). On/off process modeling of IP network failures. In Proceedings: IEEE/IFIP International Conference on Dependable Systems & Networks, DSN 2010 (pp. 585-594). Piscataway, NJ, USA: IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/DSN.2010.5544427
Kuusela, Pirkko ; Norros, Ilkka. / On/off process modeling of IP network failures. Proceedings: IEEE/IFIP International Conference on Dependable Systems & Networks, DSN 2010. Piscataway, NJ, USA : IEEE Institute of Electrical and Electronic Engineers , 2010. pp. 585-594
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Kuusela, P & Norros, I 2010, On/off process modeling of IP network failures. in Proceedings: IEEE/IFIP International Conference on Dependable Systems & Networks, DSN 2010. IEEE Institute of Electrical and Electronic Engineers , Piscataway, NJ, USA, pp. 585-594, IEEE/IFIP International Conference on Dependable Systems & Networks, DSN 2010, Chicago, IL, United States, 28/06/10. https://doi.org/10.1109/DSN.2010.5544427

On/off process modeling of IP network failures. / Kuusela, Pirkko; Norros, Ilkka.

Proceedings: IEEE/IFIP International Conference on Dependable Systems & Networks, DSN 2010. Piscataway, NJ, USA : IEEE Institute of Electrical and Electronic Engineers , 2010. p. 585-594.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AB - A reliability model for IP networks is considered, where the routers and links are modeled by independent stationary on/off processes. Component downtimes may obey any probability distribution. The model combines component reliability to a topological analysis, taking into account the routing rules of the network. This allows the derivation of on-off processes describing with high accuracy the IP-availability delivered to customers of each access router. The approach also provides estimates for risk in terms of lost traffic and allows analytic comparison of basic strategies for reliability improvement. The methodology is illustrated by studying the Finnish research backbone network. (15 refs.)

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Kuusela P, Norros I. On/off process modeling of IP network failures. In Proceedings: IEEE/IFIP International Conference on Dependable Systems & Networks, DSN 2010. Piscataway, NJ, USA: IEEE Institute of Electrical and Electronic Engineers . 2010. p. 585-594 https://doi.org/10.1109/DSN.2010.5544427