IPTV over P2P streaming networks: the mesh-pull approach

Hei, Xiaojun; Liu, Yong; Ross, Keith W.

doi:10.1109/mcom.2008.4473088

Cited by 136 publications

(84 citation statements)

References 12 publications

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“…To address this problem, many mesh structures have been proposed [4][5][6][7][8]. In the mesh structures, even though a peer's neighbor leaves the network, it can still receive data from its remaining neighbors, since it receives data from several neighbor peers simultaneously.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, highly scalable peer-to-peer (P2P)-based IPTV systems that can be implemented at low installation cost have emerged as an alternative to conventional systems [1,2]. In mesh-based structures that have been employed by most commercial P2P streaming systems, peers share data required for video playback [3][4][5][6][7][8]. To do so, they exchange buffermaps with their neighbor peers to find which peers have the necessary chunks.…”

Section: Introductionmentioning

confidence: 99%

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An Adaptive Buffering Scheme for P2P Live and Time-Shifted Streaming

Kim

Kim²,

Lee

2017

Applied Sciences

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Abstract:Recently, P2P streaming techniques have been a promising solution to a large-scale live streaming system because of their high scalability and low installation cost. In P2P live streaming systems, however, it is difficult to manage peers' buffers effectively, because they can buffer only a limited amount of data around a live broadcasting time in the main memory and suffer from long playback lag due to the nature of P2P structures. In addition, the number of peers decreases rapidly as the playback position moves further from this time by performing time-shifted viewing. These situations widen the distribution of peers' playback positions, thereby decreasing the degree of data duplication among peers. Moreover, it is hard to use each peer's buffer as the caching area because the buffer area where the chunks that have already been played back are stored can be overwritten at any time by new chunks that will arrive soon. In this paper, we therefore propose a novel buffering scheme to significantly increase data duplication in buffering periods among peers in P2P live and time-shifted streaming systems. In our proposed scheme, the buffer ratio of each peer is adaptively adjusted according to its relative playback position in a group by increasing the ratio of the caching area in its buffer as its playback position moves earlier in time and increasing the ratio of the prefetching area as its playback position moves later. Through extensive simulations, we demonstrate that our proposed adaptive buffering scheme outperforms the conventional buffering technique considerably in terms of startup delay, average jitter ratio, and the ratio of necessary chunks in a buffermap.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Adaptive Buffering Scheme for P2P Live and Time-Shifted Streaming

Kim

Kim²,

Lee

2017

Applied Sciences

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“…For instance, it has been shown that even a small amount of free-riders in a P2PSIP network can significantly decrease the ability for calls to reach the callee [29]. For live video streaming, not enough chunks might arrive at users' clients so that either the video cannot be played at all or with less quality (in the case of codecs which can compensate lost chunks by playing the video stream at a lower bitrate), degrading the overall quality of the application for users [17].…”

Section: Real-time Communication Availability Requirementsmentioning

confidence: 99%

“…Presumably, this is due to the fact that these systems are fairly new and have only been started to be analysed in the literature. In [17], security issues for such systems are highlighted and briefly discussed. Dhungel et al investigate content pollution attacks in a concrete P2P live streaming system [15].…”

Section: Existing Security Approachesmentioning

confidence: 99%

Security Issues for P2P-Based Voice- and Video-Streaming Applications

Seedorf¹

2009

iNetSec 2009 – Open Research Problems in Network Security

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Abstract. P2P computing offers a new interesting field for security researchers. Being highly distributed and lacking centralised, trusted entities for bootstrapping security mechanisms, these systems demand novel approaches for decentralised security solutions.Recently, a new class of P2P-applications has arisen: P2P-based voice and video streaming systems. The properties of these novel applications impose new, interesting security challenges which have only been started to be addressed by researchers. This paper presents a summary of existing work in the area, derives and discusses open research problems, and finally outlines approaches towards potential solutions for securing P2P-based voice and video streaming applications. MotivationFor many years, distributed computer systems have been dominated by the client-server paradigm. In recent years, however, a new paradigm appeared for distributed systems: Peer-to-Peer (P2P) computing. In networks based on this new paradigm, all entities are considered equal and provide equivalent services to other entities. At the same time, all entities can use services from all other participants of the network.P2P computing offers a new interesting field for security researchers. Lacking centralised, trusted entities for bootstrapping security mechanisms, these systems demand novel approaches for decentralised security solutions. Lately, a new class of P2P-applications has arisen: P2P-based voice and video streaming systems. Examples for such systems are P2P-Voice-over-IP applications like Skype [32] or P2PSIP [30] as well as P2P-video-streaming applications like PPlive [22] or Zattoo [37]. We subsume these applications as Real-Time Communication Applications (RTC-applications for short).RTC-applications have some important differences to other P2P-applications, e.g., file-sharing. These differences result in specific security requirements. For instance, users expect to reach a telephone callee within seconds, or to switch a TV-channel within milliseconds. In P2P-networks infiltrated by attackers (which can drop or misroute messages), it is challenging to meet these real-time requirements. In contrary, for filesharing it is perfectly acceptable for the user if it takes

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“…Basically, existing work can be classified in either concentrating on specific network technologies, e.g., mobile networks like 3G [20], 4G [28], 5G [22], on specific media (e.g., video [32], voice [12]), on specific services like Internet Protocol television (IPTV) [31], Mobile Social Networks (MSN) [6] and YouTube [33], or on the type of service deployment like cloud services [2] or peer-to-peer networks [11]. Also combinations of the aforementioned categories are actively researched, e.g., in [5].…”

Section: Introductionmentioning

confidence: 99%

Towards Internet Scale Quality-of-Experience Measurement with Twitter

Kergl

Roedler

Rodosek

2017

Lecture Notes in Computer Science

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Abstract. At present, Quality of Experience (QoE) measurements are accomplished by interrogating users for the perceived quality of a service they just have used. Influenced by many factors and often limited by domain or geographical region, this technique has several drawbacks when a general state of QoE for the internet as a whole is prospected. To achieve such a general metric, we leverage user complaints that we observe in real-time in social media. Such approaches have been successfully applied for the monitoring of specific and single services. We aim to extend existing methods in order to create an overall metric, define an internet wide QoE baseline, monitor changes and hence, provide a context for assessing smaller scale findings against a ground truth. The contribution of this work is to demonstrate the feasibility of using social media analysis for generating a meaningful value for quantifying the actual QoE of the internet.

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IPTV over P2P streaming networks: the mesh-pull approach

Cited by 136 publications

References 12 publications

An Adaptive Buffering Scheme for P2P Live and Time-Shifted Streaming

An Adaptive Buffering Scheme for P2P Live and Time-Shifted Streaming

Security Issues for P2P-Based Voice- and Video-Streaming Applications

Towards Internet Scale Quality-of-Experience Measurement with Twitter

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