Live Video Streaming Using P2P and SVC

Lee, Tsung-Chieh; Liu, Pin-Chuan; Shyu, Woei-Luen; Wu, Chen-Yih

doi:10.1007/978-3-540-87359-4_10

Cited by 13 publications

(7 citation statements)

References 12 publications

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“…A number of researchers have investigated the general applicability of multi-layer video coding and especially SVC to P2P video streaming [6,14]. Others proposed concrete SVC-based systems to address specialized issues, such as low start-up or streaming delays, or smooth video playback, while trying to assure a minimum video quality [3,12,16]. In contrast to the approach presented in this paper, none of these works considers QoE characteristics of the content.…”

Section: Related Workmentioning

confidence: 99%

Quality Adaptation in P2P Video Streaming Based on Objective QoE Metrics

Rückert¹,

Abboud²,

Zinner³

et al. 2012

Networking 2012

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Abstract. The transmission of video data is a major part of traffic on today's Internet. Since the Internet is a highly dynamic environment, quality adaptation is essential in matching user device resources with the streamed video quality. This can be achieved by applying mechanisms that follow the Scalable Video Coding (SVC) standard, which enables scalability of the video quality in multiple dimensions. In SVC-based streaming, adaptation decisions have long been driven by Quality of Service (QoS) metrics, such as throughput. However, these metrics do not well match the way human users perceive video quality. Therefore, in this paper, the classical SVC-based video streaming approach is expanded to consider Quality of Experience (QoE) for adaptation decisions. The video quality is assessed using existing objective techniques with a high correlation to the human perception. The approach is evaluated in context of a P2P-based Video-on-Demand (VoD) system and shows that by making peers favor always layers with a high estimated QoE but not necessarily high bandwidth requirements, the performance of the entire system can be enhanced in terms of playback delay and SVC video quality by up to 20%. At the same time, content providers are able to reduce up to 60% of their server costs, compared to the classical QoS-based approach.

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Section: Related Workmentioning

confidence: 99%

Quality Adaptation in P2P Video Streaming Based on Objective QoE Metrics

Rückert¹,

Abboud²,

Zinner³

et al. 2012

Networking 2012

View full text Add to dashboard Cite

show abstract

“…Furthermore, chunk scheduling algorithms in existing SVC based P2P streaming systems can be divided into two categories, fixed and unfixed. In fixed chunk scheduling algorithm, the downloading sequence of chunks is fixed, such as layer-by-layer [12], sequential [7] or tradeoff [11]. They are simple to implement, but their performance is not satisfied.…”

Section: Introductionmentioning

confidence: 98%

“…Second, data distribution efficiency will increase because layers can be shared among heterogeneous users. At present, research works on SVC based P2P streaming systems has received a lot of attentions [2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

A Playback Length Changeable chunk scheduling algorithm for SVC based P2P streaming systems

Song

Zhang

et al. 2012

2012 IEEE Global Communications Conference (GLOBECOM)

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The PLCS (Playback Length Changeable Segmentation) algorithm was proposed to improve the success delivery rate of chunks in some important layers including the base layer for SVC based P2P streaming systems. In this paper, we make further research and propose a corresponding chunk scheduling algorithm named PLCCS (Playback Length Changeable Chunk Scheduling). In PLCCS, there are two scheduling windows on clients, including General Window and Emergent Window. Different scheduling strategies are adopted in the two windows to ensure the efficiency of data distribution as well as the playback fluency. Moreover, an adaptive strategy is used in General Window to accommodate the change of the network state. We evaluate the performance of PLCCS through simulations. The results show that compared with two representative EPLS based chunk scheduling algorithms, PLCCS can achieve better video quality on clients by at least 40%, and it decreases the useless packet ratio on clients by at least 15 times. Moreover, the adaptive strategy used in PLCCS makes it suitable to be applied in SVC based P2P streaming systems in heterogeneous network environments.

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“…In SVC-based P2P streaming systems, the chunk scheduling algorithms are usually classified into two categories in terms of the dynamics of scheduling order. One is the chunk scheduling with constant downloading order, such as layer-importance based chunk order [9] and pre-organized sequential chunk order [20]. They are simple to implement, but their performances are not well satisfied.…”

Section: Introductionmentioning

confidence: 99%