A resource prediction engine for efficient multimedia services provision

Yiannos Kryftis, George Mastorakis, Mavromoustakis M. Constandinos, Jordi Mongay Batalla, Athina Bourdena, Evangelos Pallis

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


This chapter presents a novel network architecture for optimal and balanced provision of multimedia services. The proposed architecture includes a central Management and Control (M&C) plane, located at Internet provider's premises, as well as distributed M&C planes for each delivery method, including Content Delivery Networks (CDNs) and Home Gateways. As part of the architecture, a Resource Prediction Engine (RPE) is presented that utilizes novel models and algorithms for resource usage prediction, making possible the optimal distribution of streaming data. It also enables for the prediction of the upcoming fluctuations of the network that provide the ability to make the proper decisions in achieving optimized Quality of Service (QoS) and Quality of Experience (QoE) for the end users.

Original languageEnglish
Title of host publicationResource Management of Mobile Cloud Computing Networks and Environments
PublisherIGI Global
Number of pages20
ISBN (Electronic)9781466682276
ISBN (Print)9781466682269
Publication statusPublished - 31 Mar 2015


  • Content delivery network (CDN)
  • Multimedia services system
  • Quality of experience (QoE)
  • Quality of service (QoS)
  • Quality of service (QoS)


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