EMS: Encoded Multipath Streaming for Real-time Live Streaming Applications

被引:18
作者
Chow, Alix L. H. [1 ]
Yang, Hao [2 ]
Xia, Cathy H. [3 ]
Kim, Minkyong [2 ]
Liu, Zhen [4 ]
Lei, Hui [2 ]
机构
[1] Univ So Calif, Los Angeles, CA 90089 USA
[2] IBM Corp, TJ Watson Res Ctr, Hawthorne, NY 10532 USA
[3] Ohio State Univ, Columbus, OH 43210 USA
[4] Nokia Res Ctr, Beijing, Peoples R China
来源
2009 17TH IEEE INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS (ICNP 2009) | 2009年
基金
美国国家科学基金会;
关键词
NETWORKS;
D O I
10.1109/ICNP.2009.5339681
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Multipath streaming protocols have recently attracted much attention because they provide an effective means to provide high-quality streaming over the Internet. However, many existing schemes require a long start-up delay and thus are not suitable for interactive applications such as video conferencing and tele-presence. In this paper, we focus on real-time live streaming applications with stringent end-to-end latency requirement, say several hundreds of milliseconds. To address these challenges, we take a joint multipath and FEC approach that intelligently splits the FEC-encoded stream among multiple available paths. We develop an analytical model and use asymptotic analysis to derive closed-form, optimal load splitting solutions, which are surprisingly simple yet insightful. To our best knowledge, this is the first work that provides such closed-form optimal solutions. Based on the analytical insights, we have designed and implemented a novel Encoded Multipath Streaming (EMS) scheme for real-time live streaming. EMS strives to continuously satisfy the application's QoS requirements by dynamically adjusting the load splitting decisions and the FEC settings. Our simulation results have shown that EMS can not only outperform the existing multipath streaming schemes, but also adapt to the dynamic loss and delay characteristics of the network with minimal overhead.
引用
收藏
页码:233 / +
页数:2
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