TY - GEN
T1 - Analysis and optimization of live streaming for over the top video
AU - Ben Moshe, Boaz
AU - Dvir, Amit
AU - Solomon, Akiv
PY - 2011
Y1 - 2011
N2 - Video has become an integral part of the Internet user content. The use of High Definition (HD) video content increases the bandwidth requirements of the Internet infrastructure. Moreover, rapid increase in the Over-the-Top (OTT) Internet video bandwidth consumption has major impact on the business models of the Internet Service Providers (ISP). To support the ever-growing demand for IP-based video, two major technologies are used: Peer-to-Peer (P2P) for live video and Multi-Layer Cache (MLC) for fully-stored video content. In this paper we focus on partial streaming, which is a semi-live form of video delivery of live events such as sports, concerts, and news in the Video-on-Demand (VOD) format. The VOD supports user control features such as Start Over, Pause, Rewind, and Forward. We suggest a new framework for optimizing partial streaming using MLC, which allows storing partial video content in the time-based chunks of data (that is, data packets) while forwarding these data chunks to the users at various levels of ISP networks. The suggested framework may be helpful for solving the OTT bottleneck caused be video streaming.
AB - Video has become an integral part of the Internet user content. The use of High Definition (HD) video content increases the bandwidth requirements of the Internet infrastructure. Moreover, rapid increase in the Over-the-Top (OTT) Internet video bandwidth consumption has major impact on the business models of the Internet Service Providers (ISP). To support the ever-growing demand for IP-based video, two major technologies are used: Peer-to-Peer (P2P) for live video and Multi-Layer Cache (MLC) for fully-stored video content. In this paper we focus on partial streaming, which is a semi-live form of video delivery of live events such as sports, concerts, and news in the Video-on-Demand (VOD) format. The VOD supports user control features such as Start Over, Pause, Rewind, and Forward. We suggest a new framework for optimizing partial streaming using MLC, which allows storing partial video content in the time-based chunks of data (that is, data packets) while forwarding these data chunks to the users at various levels of ISP networks. The suggested framework may be helpful for solving the OTT bottleneck caused be video streaming.
KW - Multi-Layer Cache
KW - Over-the-Top Video
KW - Partial Streaming
KW - Time Segmented Streaming
UR - https://www.scopus.com/pages/publications/79957888340
U2 - 10.1109/CCNC.2011.5766553
DO - 10.1109/CCNC.2011.5766553
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AN - SCOPUS:79957888340
SN - 9781424487905
T3 - 2011 IEEE Consumer Communications and Networking Conference, CCNC'2011
SP - 60
EP - 64
BT - 2011 IEEE Consumer Communications and Networking Conference, CCNC'2011
T2 - 2011 IEEE Consumer Communications and Networking Conference, CCNC'2011
Y2 - 8 January 2011 through 11 January 2011
ER -