Efficient failure prediction in autonomic networks based on trend and frequency analysis of anomalous patterns
Author:
Affiliation:
1. Western Michigan University; Kalamazoo MI 49008 USA
2. John Jay College; City University of New York; New York NY 10019 USA
3. Cisco Smart Services, Cisco Systems; San Jose CA 95134 USA
Publisher
Wiley
Subject
Computer Networks and Communications,Computer Science Applications
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/nem.1825/fullpdf
Reference48 articles.
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2. Schemes for fault identification in communication networks;Katzela;IEEE/ACM Transactions on Networking,1995
3. Medhi D Jain S Shenoy Ramam D Thirumalasetty SR Saddi M Summa F A network management framework for multi-layered network survivability: an overview IEEE/IFIP Conference on Integrated Network Management 2001 293 296
4. IBM Autonomic Computing: IBM's Perspective on the State of Information Technology 2001 http://www.ginkgo-networks.com/IMG/pdf/autonomic_computing.pdf
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