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A Resource Prediction Engine for Efficient Multimedia Services Provision
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Author(s): Yiannos Kryftis (University of Nicosia, Cyprus), George Mastorakis (Technological Educational Institute of Crete, Greece), Constandinos X. Mavromoustakis (University of Nicosia, Cyprus), Jordi Mongay Batalla (National Institute of Telecommunications, Poland & Warsaw University of Technology, Poland), Athina Bourdena (University of Nicosia, Cyprus)and Evangelos Pallis (Technological Educational Institute of Crete, Greece)
Copyright: 2015
Pages: 20
Source title:
Resource Management of Mobile Cloud Computing Networks and Environments
Source Author(s)/Editor(s): George Mastorakis (Technological Educational Institute of Crete, Greece), Constandinos X. Mavromoustakis (University of Nicosia, Cyprus)and Evangelos Pallis (Technological Educational Institute of Crete, Greece)
DOI: 10.4018/978-1-4666-8225-2.ch012
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Abstract
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.
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