Abstract
Adaptive HTTP video streaming has gained popularity in providing live feed from the events to mobile consumers. For reaching the widest possible audience, video service providers usually need to generate multiple video representations from the input stream suitable for different clients, which can increase the server-side energy consumption and processor load. HTTP streaming enables client adaptation against network fluctuations, but the server is usually unaware of the client(s) network capacity and device characteristics. With this knowledge, the server could control and allocate the encoding resources better according to the client(s) needs and reduce the server energy consumption and load. In this paper, we provide energy-aware dynamic encoding control for MPEG-DASH live streaming, which can benefit especially when representations are unpopular or network is under congestion. To achieve this, we utilize messages between client and encoding server based on the upcoming MPEG standard initiative Server and Network Assisted DASH (SAND). The results indicate that our dynamic encoding control signaling can reduce energy consumption in the server, create storage savings and therefore decrease also server costs.
Original language | English |
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Title of host publication | Software, Telecommunications and Computer Networks (SoftCOM), 2016 24th International Conference on |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 1-5 |
ISBN (Print) | 978-1-5090-2578-7 |
DOIs | |
Publication status | Published - 8 Dec 2016 |
MoE publication type | A4 Article in a conference publication |
Event | 24th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2016 - Split, Croatia Duration: 22 Sept 2016 → 24 Sept 2016 Conference number: 24 |
Conference
Conference | 24th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2016 |
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Abbreviated title | SoftCOM 2016 |
Country/Territory | Croatia |
City | Split |
Period | 22/09/16 → 24/09/16 |
Keywords
- servers
- streaming media
- encoding
- transform coding
- energy consuption
- media
- mobile communication