SAND-assisted encoding control for energy-aware MPEG-DASH live streaming

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    2 Citations (Scopus)


    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 languageEnglish
    Title of host publicationSoftware, Telecommunications and Computer Networks (SoftCOM), 2016 24th International Conference on
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Print)978-1-5090-2578-7
    Publication statusPublished - 8 Dec 2016
    MoE publication typeA4 Article in a conference publication
    Event24th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2016 - Split, Croatia
    Duration: 22 Sept 201624 Sept 2016
    Conference number: 24


    Conference24th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2016
    Abbreviated titleSoftCOM 2016


    • servers
    • streaming media
    • encoding
    • transform coding
    • energy consuption
    • media
    • mobile communication


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