PECAN: Peer cache adaptation for peer-to-peer video-on-demand streaming

Kim, Jongtack; Bahk, Saewoong

doi:10.1109/jcn.2012.6253090

Cited by 6 publications

(4 citation statements)

References 25 publications

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“…In order to balance the load between server and system members, the architecture considered the caching problem as a utility optimization problem based on supply and demand and used the multiple caching mechanisms to optimize the performance of system. PECAN in [22] proposed a peer cache adaptation strategy, in which each peer dynamic regulates the local storage capacity to improve the scalability of system. PECAN employs a cache replacement algorithm to improve the resource distribution in terms of the popularities of video chunk and show that the storage capacities of peers are corresponding to the request rate of resources.…”

Section: Related Workmentioning

confidence: 99%

A Novel Interest Detection-Based Video Dissemination Algorithm under Flash Crowd in Mobile Ad Hoc Networks

Jia

Jiang

et al. 2015

International Journal of Distributed Sensor Networks

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The peer-to-peer-based video resource dissemination is important for handling extreme conditions such as flash crowds which severely break the balance between supply and demand of video content and bring negative effects for quality of service (QoS). In this paper, we propose a novel interest detection-based video dissemination algorithm under flash crowd in mobile ad hoc networks (IDVD). IDVD classifies the user behavior of requesting video content in terms of the popularities and playback time of video and considers the demand of popular video as the cause of flash crowd. IDVD makes use of the prediction of necessary bandwidth and period time of intensive request to be aware of period time and scale of flash crowd. IDVD employs a resource dissemination algorithm which can fast discover interested nodes and achieve the on-demand dissemination of video resources in neighboring geographical area, in order to handle imbalance between supply and demand. IDVD uses the epidemic model to describe the state transition of nodes and define the convergence condition of resource dissemination algorithm. Extensive tests show how IDVD achieves much better performance results in comparison with other state of the art solutions.

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Section: Related Workmentioning

confidence: 99%

A Novel Interest Detection-Based Video Dissemination Algorithm under Flash Crowd in Mobile Ad Hoc Networks

Jia

Jiang

et al. 2015

International Journal of Distributed Sensor Networks

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“…The implementation of caching strategy also necessitates cache update. In [22], a cache replacement algorithm called "Peer Cache Adaptation" (PECAN) is proposed, where each peer adjusts its cache capacity adaptively in order to meet the server's upload bandwidth constraint.…”

Section: Reducing Server Stress Due To Asynchronous Arrivalmentioning

confidence: 99%

P2P-VoD Streaming:

Ghosh

Rajan

Pandey

2014

Advanced Computing, Networking and Informatics- Volume 2

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Abstract. Peer-to-Peer based Video-on-Demand (P2P-VoD) applications are becoming very popular for scalable video distribution in both academic and commercial environments. Asynchronous arrival of peers who wish to watch videos from beginning, as well as willing to avail interactive services like jump, rewind, fast-forward etc. in these systems makes it challenging to design and deploy them. A lot of research has already been done on the architectural design issues of P2P-VoD systems. In this paper, we present a survey on approaches which address some existing design issues like alleviating the server stress due to asynchrony, building efficient P2P-VoD applications with interactive services and handling peer churn as well as the time-varying nature of network. In addition to these issues, we also discuss the challenges in deployment of P2P-based VoD systems with additional user experience features like on-demand watching of segmented scenes, on-the-fly creation of playlists etc. over best-effort Internet.

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“…With the exploding high definition video streaming traffic, telco content delivery network, a network enabler that saves a huge amount of traffic on the links toward the Internet, is new content distribution services managed by Internet service providers . In order to meet the increasing demand of video‐on‐demand services, many researches on the peer‐to‐peer (P2P) mesh‐based video transmission mechanism have been carried out . Kozat in described an architecture that employs both the server and the peer resources for efficient transmission of popular videos.…”

Section: Introductionmentioning

confidence: 99%

“…Kozat in described an architecture that employs both the server and the peer resources for efficient transmission of popular videos. On the other hand, Kim and Bahk considered the constraint of the server's upload bandwidth and the fairness between upload and download amounts at each peer. In , a theoretical framework based on queuing models is developed to justify the service prioritization and to study the fundamental principles behind optimal prefetching and caching designs.…”

Section: Introductionmentioning

confidence: 99%

A QoE centric distributed caching approach for vehicular video streaming in cellular networks

Sun

Liu

Hou

et al. 2015

Wireless Communications

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Distributed caching‐empowered wireless networks can greatly improve the efficiency of data storage and transmission and thereby the users' quality of experience (QoE). However, how this technology can alleviate the network access pressure while ensuring the consistency of content delivery is still an open question, especially in the case where the users are in fast motion. Therefore, in this paper, we investigate the caching issue emerging from a forthcoming scenario where vehicular video streaming is performed under cellular networks. Specifically, a QoE centric distributed caching approach is proposed to fulfill as many users' requests as possible, considering the limited caching space of base stations and basic user experience guarantee. Firstly, a QoE evaluation model is established using verified empirical data. Also, the mathematic relationship between the streaming bit rate and actual storage space is developed. Then, the distributed caching management for vehicular video streaming is formulated as a constrained optimization problem and solved with the generalized–reduced gradient method. Simulation results indicate that our approach can improve the users' satisfaction ratio by up to 40%. Copyright © 2015 John Wiley & Sons, Ltd.

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PECAN: Peer cache adaptation for peer-to-peer video-on-demand streaming

Cited by 6 publications

References 25 publications

A Novel Interest Detection-Based Video Dissemination Algorithm under Flash Crowd in Mobile Ad Hoc Networks

A Novel Interest Detection-Based Video Dissemination Algorithm under Flash Crowd in Mobile Ad Hoc Networks

P2P-VoD Streaming:

A QoE centric distributed caching approach for vehicular video streaming in cellular networks

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