Modeling and Performance Analysis of P2P Live Streaming Systems under Flash Crowds

Chen, Yishuai; Zhang, Baoxian; Chen, Changjia

doi:10.1109/icc.2011.5962881

Cited by 18 publications

(11 citation statements)

References 11 publications

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“…In addition, Chen et al [10] devise some models and find out several key factors affecting the system performance. Moreover, the authors in literature [11] construct a new fluid model. The model analysis reveals that system can recover to a new state when the size of the flash crowd is moderate and the admission control is helpful for the flash crowd.…”

Section: Related Workmentioning

confidence: 99%

“…The model analysis reveals that system can recover to a new state when the size of the flash crowd is moderate and the admission control is helpful for the flash crowd. All the previous modeling works [9][10][11] mainly focus on the homogeneous case. They assume all users have the same upload bandwidth or only allow for the average bandwidth, whereas users actually have heterogeneous bandwidths.…”

Section: Related Workmentioning

confidence: 99%

“…The major related studies on P2P streaming systems under flash crowds are composed of two categories: measurement studies on the real-world system [4][5][6][7][8] and the model analysis [9][10][11]. Measurement investigations mainly endeavor to explore the system features and the users' behaviors under flash crowds, while model analysis tends to construct models to capture the characteristics of P2P systems under flash crowds.…”

Section: Introductionmentioning

confidence: 99%

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Bandwidth-aware peer selection for P2P live streaming systems under flash crowds

Liu

Jiang

et al. 2012

2012 IEEE 31st International Performance Computing and Communications Conference (IPCCC)

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P2P live streaming systems have been widely adopted nowadays. However, the flash crowd still poses challenges in such P2P systems, which often occurs when an enormous number of users suddenly arrive to view a newly released live program. Facing so many new users, a P2P streaming system usually can not provide reasonable quality of service and these new users often suffer from a long startup delay and a high service rejection rate. In this paper, we propose a bandwidth-aware peer selection method to alleviate the flash crowd. To use the rare available bandwidths more effectively, we let new peers send more requests to the high-bandwidth parents and less requests to the low-bandwidth parents, aiming to make the upload rate of each parent match well with its upload capacity. Moreover, two analytical models are also constructed to evaluate our method and the traditional random peer selection method. Both model analysis and simulation experiment reveal the merits of our method in tackling the flash crowd, in terms of growth of system scale, average startup delay and rejection rate, compared with the random peer selection method.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bandwidth-aware peer selection for P2P live streaming systems under flash crowds

Liu

Jiang

et al. 2012

2012 IEEE 31st International Performance Computing and Communications Conference (IPCCC)

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“…Many research efforts have been made on those existing P2P-based systems，such as Bittorrent [6][7], VoD [11] and live Streaming [12]. Peer-assisted online storage systems like FS2You [8]- [10] have also attracted significant attention in academe.…”

Section: Related Workmentioning

confidence: 99%

Offline Downloading: A Non-Traditional Cloud-Accelerated and Peer-Assisted Content Distribution Service

Chen

et al. 2012

2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery

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A novel Internet content distribution serviceOffline downloading service -has emerged recently and attracted a large number of users all over the world. Unlike traditional Internet content distribution systems such as Bittorrent (BT), Offline downloading service uses dedicated cloud unities (Cache cloud) to store files what users wish to download and provide uploading, in order to guarantee file availability and enhance data transfer rate. Besides, with the help of tracker server, P2P (peer-to-peer) swarms constructed by users benefit to save server-side (Cache cloud) bandwidth consumption of the novel service.In this paper, we conduct a two-month measurement study for evaluating the effectiveness of the novel Offline downloading service on improving user experience. Our study shows that the bandwidth resource of Cache cloud is expected to be insufficient in the near future. The relevant influential factors are found to be file popularity, time period and peer connection status. Guided by these findings, we develop a flexible bandwidth allocation strategy for Cache cloud, in propose of saving the Cache cloud bandwidth without affecting service quality by maximizing the cooperation between cloudacceleration and peer-assistance.

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“…There is a need to more effectively use existing bandwidth. Heterogeneous bandwidth in multi-channel networks [4] [5] implies that some channels have satisfactory streaming qualities since they have surplus resources while other channels suffer from unsatisfactory streaming quality due to a lack of sufficient resources. The heterogeneity of available bandwidth is highly impacted by a flash crowd which occurs when a huge number of peers attempt to join a popular channel.…”

Section: Introductionmentioning

confidence: 99%

Network coding for coping with flash crowd in P2P multi-channel live video streaming

Bayat

Lutfiyya

2015

2015 11th International Conference on the Design of Reliable Communication Networks (DRCN)

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This paper presents a peer-to-peer (P2P) framework for the deployment of live video streaming applications over P2P overlay networks. The proposed framework provides support for flash-crowds, decentralizes decision making and makes use of network coding to reduce bandwidth consumption. We present the framework and the simulation results that demonstrate the framework's effectiveness.978-1-4799-7795-6/15/$31.00 ©2015 IEEE

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Modeling and Performance Analysis of P2P Live Streaming Systems under Flash Crowds

Cited by 18 publications

References 11 publications

Bandwidth-aware peer selection for P2P live streaming systems under flash crowds

Bandwidth-aware peer selection for P2P live streaming systems under flash crowds

Offline Downloading: A Non-Traditional Cloud-Accelerated and Peer-Assisted Content Distribution Service

Network coding for coping with flash crowd in P2P multi-channel live video streaming

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