Intelligent Service Monitoring and Support

Intelligent service management techniques play an important role in the continuously and rapidly evolving area of technologically advanced services. High tech companies are looking for better ways to deliver and preserve services to their customers in a competitive way. This paper introduces a new architecture for a scalable service monitoring and support system called Call Home Analysis and Response System (CHARS). The proposed system utilizes data de-noising and filtering techniques to meet the service management requirements of large-scale service deployments. The system utilizes intra and inter-element correlation of events to enhance the services delivered to end-users. Our results demonstrate that the proposed system is effective in covering the performance and fault management aspects for large-scale deployments of advanced services.

[1]  Kevin Downs,et al.  Internetworking Technologies Handbook , 1997 .

[2]  Don Libes Exploring expect - a Tcl-based toolkit for automating interactive programs (2. ed.) , 1995 .

[3]  Brian D. Noble,et al.  Mobile network estimation , 2001, MobiCom '01.

[4]  William Stallings,et al.  SNMP, SNMPv2, SNMPv3, and RMON 1 and 2 , 1999 .

[5]  Ulf Lindqvist,et al.  Detecting computer and network misuse through the production-based expert system toolset (P-BEST) , 1999, Proceedings of the 1999 IEEE Symposium on Security and Privacy (Cat. No.99CB36344).

[6]  James Won-Ki Hong,et al.  Interaction Translation Methods for XML/SNMP Gateway , 2002, DSOM.

[7]  Yang Yongjian,et al.  Expert system-intelligent management for ATM network , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[8]  Tony White,et al.  The Expert Advisor : An Expert System for Real Time Network Monitoring , 1992 .