Title :
Intelligent Service Monitoring and Support
Author :
Al-Fuqaha, Ala ; Rayes, Ammar ; Guizani, Mohsen ; Khanvilkar, Mrinal ; Ahmed, Mohammed
Author_Institution :
Dept. of Comput. Sci., Western Michigan Univ., Kalamazoo, MI, USA
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.
Keywords :
computer network management; expert systems; information filtering; call home analysis; data denoising; data filtering; intelligent service management; intelligent service monitoring; response system; scalable service monitoring; Communications Society; Filtering; Intelligent networks; Intelligent systems; Large-scale systems; Monitoring; Noise reduction; Performance analysis; Technology management; Telecommunication network management;
Conference_Titel :
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location :
Dresden
Print_ISBN :
978-1-4244-3435-0
Electronic_ISBN :
1938-1883
DOI :
10.1109/ICC.2009.5199087