Video streaming has dominated traffic usage over the Internet. With the development of heterogeneous mobile devices, various streaming environments with different display sizes and network bandwidths have accelerated video streaming to the masses. To accommodate the increasing demand for video, streaming providers have made efforts to build services based on scalable video coding (SVC) over the cloud infrastructure, which leverages elastic amounts of resources and network bandwidth on the fly. In this paper, we suggest a split-layer SVC-based streaming architecture optimized for a cloud environment. By separately controlling streaming instances with awareness of clients device ratio amongst smartphone, tablet, and PC, we improve resource utilization and save network bandwidth. We also evaluate how our proposed system can improve the total cost for providing a video streaming service on a cloud infrastructure. We carry out extensive experiments to evaluate the performance in multiple real-life scenarios by simulating streaming services on (1) a mobile-client-heavy channel, (2) a PC-client-heavy channel, and (3) a device-balanced channel.
|Title of host publication||Proceedings - 2014 International Conference on Future Internet of Things and Cloud, FiCloud 2014|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - 2014 Dec 12|
|Event||2nd International Conference on Future Internet of Things and Cloud, FiCloud 2014 - Barcelona, Spain|
Duration: 2014 Aug 27 → 2014 Aug 29
|Name||Proceedings - 2014 International Conference on Future Internet of Things and Cloud, FiCloud 2014|
|Other||2nd International Conference on Future Internet of Things and Cloud, FiCloud 2014|
|Period||14/8/27 → 14/8/29|
Bibliographical notePublisher Copyright:
© 2014 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science(all)