Paper Info
Title
Early Detection Of Link Failures Through The Modeling Of The Hardware Deterioration Process
Abstract
Network failures can significantly degrade the network performance in several ways, ranging from experiencing unacceptable delays (e.g., in video conference applications) to leading to significant drops in sales for companies (e.g., airlines tickets purchases). In this paper, we focus on network failures caused by links that are prone to fail due to their advanced stage of lifetime. In particular, the formalization of the Hardware Deterioration Failure Mode (HDFM) for network line cards is provided to evaluate the penalty for network operators of handling HDFM failing links using classical methods based on Bidirectional Forwarding Detection and Fast Re-Route mechanisms. An algorithm, named Hardware Deterioration Detection (HDD), is proposed to detect if links are experiencing failures as well as to provide an estimation of their remaining lifetime. The performance evaluation over data generated by our provided network failure simulator shows that HDD is able to correctly classify links as failing or not failing, regardless of the type of failure considered. Moreover, overall descriptions for failure models in which HDD is able to produce high quality estimations of the remaining lifetime have been identified, with a trade-off between the hardware deterioration time dependence and the relationship between lifetime and packet loss probability.
Year
DOI
Venue
2021
10.1016/j.comnet.2021.108147
COMPUTER NETWORKS
Keywords
DocType
Volume
Link failures, Hardware deterioration, Bidirectional Forwarding Detection, Fast Re-Route, QoS
Journal
194
ISSN
Citations 
PageRank 
1389-1286
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Marco Polverini118716.25
Juan Luis Herrera224.12
Pierpaolo Salvo3777.85
Jaime Galán-Jiménez42811.00