In order to evaluate the expected availability of a service, a network administrator should consider all possible failure scenarios under the specific service availability model stipulated in the corresponding service-level agreement. Given the increase in natural disasters and malicious attacks with geographically extensive impact, considering only independent single link failures is often insufficient. In this paper, we build a stochastic model of geographically correlated link failures caused by disasters, in order to estimate the hazards a network may be prone to, and to understand the complex correlation between possible link failures. With such a model, one can quickly extract information, such as the probability of an arbitrary set of links to fail simultaneously, the probability of two nodes to be disconnected, the probability of a path to survive a failure, etc. Furthermore, we introduce a pre-computation process, which enables us to succinctly represent the joint probability distribution of link failures. In particular, we generate, in polynomial time, a quasilinear-sized data structure, with which the joint failure probability of any set of links can be computed efficiently.
|Original language||American English|
|Title of host publication||INFOCOM 2018 - IEEE Conference on Computer Communications|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||9|
|State||Published - 8 Oct 2018|
|Event||2018 IEEE Conference on Computer Communications, INFOCOM 2018 - Honolulu, United States|
Duration: 15 Apr 2018 → 19 Apr 2018
|Name||Proceedings - IEEE INFOCOM|
|Conference||2018 IEEE Conference on Computer Communications, INFOCOM 2018|
|Period||15/04/18 → 19/04/18|
Bibliographical noteFunding Information:
Part of this work has been supported by COST Action CA15127 (RE-CODIS), and the Hungarian Scientific Research Fund (grant No. OTKA K124171 and K115288).
© 2018 IEEE.