VNMF: Distributed fault detection using clustering approach for network function virtualization
2015 (English)In: Proceedings of the 2015 IFIP/IEEE International Symposium on Integrated Network Management, IM 2015, IEEE conference proceedings, 2015, p. 640-645Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]
Network function virtualization introduces additional complexity for network management through the use of virtualization environments. The amount of managed data and the operational complexity increases, which makes service assurance and failure recovery harder to realize. In response to this challenge, the paper proposes a distributed management function, called virtualized network management function (vNMF), to detect failures related to virtualized services. vNMF detects the failures by monitoring physical-layer statistics that are processed with a self-organizing map algorithm. Experimental results show that memory leaks and network congestion failures can be successfully detected and that and the accuracy of failure detection can be significantly improved compared to common k-means clustering.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. p. 640-645
Keywords [en]
Fault detection, in-network management, network function virtualization self-organizing map, Complex networks, Conformal mapping, Distributed computer systems, Network layers, Network management, Self organizing maps, Transfer functions, Virtual reality, Distributed fault detections, Distributed management, Management functions, Operational complexity, Self Organizing Map algorithm, Virtualizations, Virtualized services
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:kth:diva-181514DOI: 10.1109/INM.2015.7140349ISI: 000380495900079Scopus ID: 2-s2.0-84942587830ISBN: 9783901882760 (print)OAI: oai:DiVA.org:kth-181514DiVA, id: diva2:912442
Conference
14th IFIP/IEEE International Symposium on Integrated Network Management, IM 2015, 11 May 2015 through 15 May 2015
Note
QC 20160316
2016-03-162016-02-022024-03-15Bibliographically approved