Performance Modeling and Evaluation of Peer-to-Peer Live Streaming Systems Under Flash Crowds

Chen, Yishuai; Zhang, Baoxian; Chen, Changjia; Chiu, Dah Ming

doi:10.1109/tnet.2013.2272056

Cited by 23 publications

(15 citation statements)

References 23 publications

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“…Chen et al build a model and estimate the performance for the P2P living streaming systems under flash crowd [21]. By making use of a fluid model to model the P2P living streaming systems, the authors study the system capacity, peer startup latency, and system recovery time of systems for the control and noncontrol modes and demonstrate that a living streaming system difficultly handles flash crowds due to limited capacity.…”

Section: Related Workmentioning

confidence: 99%

Modelling of P2P-Based Video Sharing Performance for Content-Oriented Community-Based VoD Systems in Wireless Mobile Networks

Jia

Zhang

et al. 2016

Mobile Information Systems

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The video sharing performance is a key factor for scalability and quality of service of P2P VoD systems in wireless mobile networks. There are some impact factors for the video sharing performance, such as available upload bandwidth, resource distribution in overlay networks, and mobility of mobile nodes. In this paper, we firstly model user behaviors: joining, playback, and departure for the content-oriented community-based VoD systems in wireless mobile networks and construct a resource assignment model by the analysis of transition of node state: suspend, wait, and playback. We analyze the influence of the above three factors: upload bandwidth, startup delay, and resource distribution for the sharing performance and QoS of systems. We further propose the improved resource sharing strategies from the perspectives of community architecture, resource distribution, and data transmission for the systems. Extensive tests show how the improved strategies achieve much better performance results in comparison with original strategies.

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Section: Related Workmentioning

confidence: 99%

Modelling of P2P-Based Video Sharing Performance for Content-Oriented Community-Based VoD Systems in Wireless Mobile Networks

Jia

Zhang

et al. 2016

Mobile Information Systems

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“…In order to understand the system scaling behavior of the system with admission control, a fluid-based model in [28] is referred and modified. Two modifications are listed as follows.…”

Section: Analytical Modelmentioning

confidence: 99%

Access control mechanism using flexible multi‐layer structure for mesh‐based P2P live streaming systems

Sue

Chuang

Hsu

2016

Int J Communication

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When thousands of new peers seek to join the peer-to-peer (P2P) system within a very short time (i.e., the so-called flash crowd event), most of the peers suffer a long startup delay as a result of peer over-competition. Accordingly, recent studies have proposed a slot-based user access control (UAC) mechanism, which periodically admits a certain number of new peers to the system, and a user batch join (UBJ) mechanism, which preconstructs the new peers into a fixed-size tree structure before peer join process. However, in the UAC mechanism, it is difficult to determine the optimal time slot length; while in the UBJ mechanism, it is difficult to determine the optimal tree size. Accordingly, the present study proposes a structured access control (SAC) mechanism, in which the new-arriving peers are preconstructed to a flexible multilayer structure to overcome the limitation of a fixed-size tree structure, and the number of peers in each layer of the structure is determined based on a consideration of the remaining upload bandwidth of the P2P system. Based on the assumption of a heterogeneous upload bandwidth capability of the peers, an analytical model is derived to describe the growth behavior of a P2P system with access control. It is shown that the simulation results for the growth rate of a P2P system based on the SAC mechanism are in good agreement with those obtained from the analytical model. In addition, the simulation results show that the SAC mechanism outperforms the UAC and UBJ mechanisms in terms of a more rapid system growth and a shorter average startup delay.

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“…In particular, the quality of video streaming significantly degrades if many nodes issue a request to join the system almost at the same time. Such a phenomenon of the concentration of many join requests is referred to as the flash crowd, which has been recognized as a crucial issue for general distributed systems including P2P systems [3], [6], [7], [12], [15], [20], [22], [23], [26]. A reason for the occurrence of a flash crowd in P2P systems is the existence of a non-negligible delay before newly joined downloader becoming an uploader.…”

Section: Introductionmentioning

confidence: 99%

Flash Crowd Absorber for P2P Video Streaming

Fujita

2019

IEICE Trans. Inf. & Syst.

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This paper proposes a method to absorb flash crowd in P2P video streaming systems. The idea of the proposed method is to reduce the time before a newly arrived node becoming an uploader by explicitly constructing a group of newly arrived nodes called flash crowd absorber (FCA). FCA grows continuously while serving a video stream to the members of the group, and it is explicitly controlled so that the upload capacity of the nodes is fully utilized and it attains a nearly optimal latency of the stream during a flash crowd. A numerical comparison with a naive treebased scheme is also given.

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Performance Modeling and Evaluation of Peer-to-Peer Live Streaming Systems Under Flash Crowds

Cited by 23 publications

References 23 publications

Modelling of P2P-Based Video Sharing Performance for Content-Oriented Community-Based VoD Systems in Wireless Mobile Networks

Modelling of P2P-Based Video Sharing Performance for Content-Oriented Community-Based VoD Systems in Wireless Mobile Networks

Access control mechanism using flexible multi‐layer structure for mesh‐based P2P live streaming systems

Flash Crowd Absorber for P2P Video Streaming

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