Dynamic and intelligent SAND-enabled CDN management
| Autor: | Antti Heikkinen, Janne Vehkaperä, Toni Maki, Mikko Myllyniemi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
ta113
CDN Computer science business.industry Testbed ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS MPEG-DASH 020206 networking & telecommunications 020302 automobile design & engineering Content delivery network 02 engineering and technology Virtualization computer.software_genre Service virtualization virtualization 0203 mechanical engineering Server SAND Scalability 0202 electrical engineering electronic engineering information engineering Enhanced Data Rates for GSM Evolution Quality of experience business computer Computer network |
| Zdroj: | Heikkinen, A, Vehkaperä, J, Mäki, T & Myllyniemi, M 2016, Dynamic and intelligent SAND-enabled CDN management . in Proceedings of the 7th International Conference on Multimedia Systems MMSys'16 . Association for Computing Machinery ACM, pp. 306-309, 7th ACM International Conference on Multimedia Systems, MMSys 2016, Klangenfurt, Austria, 10/05/16 . https://doi.org/10.1145/2910017.2910635 MMSys |
| DOI: | 10.1145/2910017.2910635 |
| Popis: | In this demonstration, an advanced Content Delivery Network (CDN) solution for enhancing the delivery of adaptive HTTP-based video streaming is introduced. The demonstration showcases intelligent and scalable CDN testbed which is based on intelligent CDN management functionalities and scalable CDN architecture. The intelligent CDN management functionalities and the associated signaling are based on the upcoming MPEG standard for Server and Network assisted DASH (SAND). The scalable CDN architecture achieved via lightweight service virtualization allows dynamic scaling and balancing of available resources according to the current needs. The demonstration showcases a scenario where end-users are streaming MPEG-DASH video from the advanced CDN featuring intelligent CDN management and monitoring functionalities to dynamically add or remove virtualized edge servers and reroute end-users based on the resource needs and the location of end-users to achieve more balanced traffic load within the network and better Quality of Experience (QoE) for end-users. |
| Databáze: | OpenAIRE |
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