Adaptive and automated detection of service anomalies in transaction-oriented WANs: network analysis, algorithms, implementation, and deployment

Ho, L; Cavuto, D; Papavassiliou, S; Zawadzki, A

dc.contributor.author	Ho, L	en
dc.contributor.author	Cavuto, D	en
dc.contributor.author	Papavassiliou, S	en
dc.contributor.author	Zawadzki, A	en
dc.date.accessioned	2014-03-01T01:49:08Z
dc.date.available	2014-03-01T01:49:08Z
dc.date.issued	2000	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25692
dc.subject	Anomaly Detection	en
dc.subject	Electronic Commerce	en
dc.subject	Environmental Factor	en
dc.subject	Field Test	en
dc.subject	Indexing Terms	en
dc.subject	Network Analysis	en
dc.subject	Network Monitoring	en
dc.subject	Network Performance	en
dc.subject	Network Services	en
dc.subject	Time Series	en
dc.subject	Real Time	en
dc.subject	Wide Area Network	en
dc.title	Adaptive and automated detection of service anomalies in transaction-oriented WANs: network analysis, algorithms, implementation, and deployment	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/49.842990	en
heal.identifier.secondary	http://dx.doi.org/10.1109/49.842990	en
heal.publicationDate	2000	en
heal.abstract	Algorithms and software for proactive and adaptive detection of network/service anomalies (i.e., performance degradations) have been developed, implemented, deployed, and field-tested for transaction-oriented wide area networks (WANs). A real-time anomaly detection system called TRISTAN (transaction instantaneous anomaly notification) has been implemented, and is deployed in the commercially important AT&T transaction access services (TAS) network. TAS is a high volume, multiple	en
heal.journalName	IEEE Journal on Selected Areas in Communications	en
dc.identifier.doi	10.1109/49.842990	en