Abstract
This paper proposes two algorithms adopted in a prototype network architecture, for optimal selection of multimedia content delivery methods, as well as balanced delivery load, by exploiting a novel resource prediction engine. The proposed architecture exploits both algorithms for the prediction of future multimedia services demands, by providing the ability to keep optimal the distribution of the streaming data, among Content Delivery Networks, cloud-based providers and Home Media Gateways. In addition, the prediction of the upcoming fluctuations of the network, provides the ability to the proposed network architecture, achieving optimized Quality of Service (QoS) and Quality of Experience (QoE) for the end users. Both algorithms were evaluated to establish their efficiency, towards effectively predicting future network traffic demands. The experimental results validated their performance and indicated fields for further research and experimentation.
Original language | English |
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Title of host publication | 2015 IEEE International Conference on Communications, ICC 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 5903-5909 |
Number of pages | 7 |
Volume | 2015-September |
ISBN (Electronic) | 9781467364324 |
DOIs | |
Publication status | Published - 9 Sept 2015 |
Event | IEEE International Conference on Communications, ICC 2015 - London, United Kingdom Duration: 8 Jun 2015 → 12 Jun 2015 |
Other
Other | IEEE International Conference on Communications, ICC 2015 |
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Country/Territory | United Kingdom |
City | London |
Period | 8/06/15 → 12/06/15 |
Keywords
- Content Delivery Networks
- Multimedia Services Systems
- Resource Prediction Engine
- Resource Usage Prediction Algorithms