Towards automated analysis and optimization of multimedia streaming services using clustering and semantic techniques

  • Authors:
  • Liam Fallon;Yangcheng Huang;Declan O'Sullivan

  • Affiliations:
  • Network Management Lab, LM Ericsson, Athlone, Co. Westmeath, Ireland;Network Management Lab, LM Ericsson, Athlone, Co. Westmeath, Ireland;Knowledge & Data Engineering Group, Trinity College Dublin, Ireland

  • Venue:
  • MACE'10 Proceedings of the 5th IEEE international conference on Modelling autonomic communication environments
  • Year:
  • 2010

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Abstract

This paper presents an automated approach for analysis and optimization of multimedia streaming services in telecommunication networks that can be used to autonomically manage those services. In the approach, threshold analysis is applied to reported quality metric values for services. Cluster analysis is then applied to the metrics to group metric values with similar characteristics. The resulting clusters are then semantically mapped to various ontologies to highlight service aspects which can be optimized with policies. Changes in service aspects are monitored to assess the effectiveness of applied optimizations.