Intelligent service monitoring and support

  • Authors:

  • Ala Al-Fuqaha;Ammar Rayes;Mohsen Guizani;Mrinal Khanvilkar;Mohammed Ahmed

  • Affiliations:

  • Department of Computer Science, Western Michigan University, Kalamazoo, MI;Cisco Systems, San Jose, CA;Department of Computer Science, Western Michigan University, Kalamazoo, MI;Department of Computer Science, Western Michigan University, Kalamazoo, MI;Department of Computer Science, Western Michigan University, Kalamazoo, MI

  • Venue:
  • ICC'09 Proceedings of the 2009 IEEE international conference on Communications
  • Year:
  • 2009

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Abstract

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.