Large-scale Peer-assisted Online Hosting, Distribution and Video Streaming Systems

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Release : 2011
Genre : Peer-to-peer architecture (Computer networks)
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Large-scale Peer-assisted Online Hosting, Distribution and Video Streaming Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Large-scale Peer-assisted Online Hosting, Distribution and Video Streaming Systems write by Fangming Liu. This book was released on 2011. Large-scale Peer-assisted Online Hosting, Distribution and Video Streaming Systems available in PDF, EPUB and Kindle.

Large-Scale Peer-Assisted Online Hosting, Distribution and Video Streaming Systems

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Release : 2019-04
Genre :
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Book Rating : 585/5 ( reviews)

Large-Scale Peer-Assisted Online Hosting, Distribution and Video Streaming Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Large-Scale Peer-Assisted Online Hosting, Distribution and Video Streaming Systems write by Fangming Liu. This book was released on 2019-04. Large-Scale Peer-Assisted Online Hosting, Distribution and Video Streaming Systems available in PDF, EPUB and Kindle.

A Study of Cloud-assisted Strategy for Large Scale Video Streaming Systems

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Release : 2014
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A Study of Cloud-assisted Strategy for Large Scale Video Streaming Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Study of Cloud-assisted Strategy for Large Scale Video Streaming Systems write by Fei Chen. This book was released on 2014. A Study of Cloud-assisted Strategy for Large Scale Video Streaming Systems available in PDF, EPUB and Kindle. In recent years, the Internet has witnessed a significant increase in the popularity of video streaming systems for Video-on-Demand (VoD) or live streaming services. The large-scale content distribution of these systems has become increasingly prevalent and contributes to a significant portion of Internet traffic. Designing such a large scale, fast growing video streaming platform with high availability and scalability is technically challenging. Traditionally, it requires either a massive and costly computation, storage and network delivery infrastructure, or a peer-to-peer (P2P) strategy, which deploys local resources of participating users. To make it worse, the servers usually have to be over-provisioned for the peak load to serve the heterogeneous and dynamic user demands in a large scale with guaranteed Quality of Service (QoS). The emergence of cloud computing however sheds new lights into this dilemma. A cloud platform offers reliable, elastic and cost-effective resource provisioning, which has been dramatically changing the way of enabling scalable and dynamic network services for large scale video streaming systems. First, cloud computing can provide an elastic service and scale the provisioned server resource online in a fine granularity. Second, the geo-distributed cloud sites can respond to the globalized request demands with the qualified service. Third, the cloud-assisted strategy is highly compatible with current prevalent P2P video streaming systems in a hybrid solution. Therefore, the cloud-assisted strategies for large scale video streaming systems call for the novel solutions to provide the cost-effective services. In this thesis, we tackle the design issues of cloud-assisted strategies. First, we propose a flexible cloud based provisioning strategy to serve highly time-varying demands in the P2P VoD systems. Then, leveraging the geo-distributed cloud services, we build a prototype of crowdsourced live streaming platform and explore the streaming quality under the influence of different cloud site leasing strategies. Synergizing the P2P and cloud resource, we model the combinational cost problem, and present an optimal solution and a distributed solution toward a scalable and cost effective service over the hybrid VoD streaming systems. Our analysis and experimental results demonstrate the superiority of proposed systematic solutions for the large scale video streaming systems.

Peer-to-Peer Video Streaming

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Release : 2007-09-30
Genre : Computers
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Book Rating : 151/5 ( reviews)

Peer-to-Peer Video Streaming - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Peer-to-Peer Video Streaming write by Eric Setton. This book was released on 2007-09-30. Peer-to-Peer Video Streaming available in PDF, EPUB and Kindle. Peer-to-Peer Video Streaming describes novel solutions to enhance video quality, increase robustness to errors, and reduce end-to-end latency in video streaming systems. This book will be of use to both academics and professionals as it presents thorough coverage and solutions for current issues with Video Streaming and Peer-to-Peer architectures. The book provides an overview of today’s state-of-the art video streaming technology. It presents adaptive video coding and streaming techniques for performance enhancement of conventional client-server systems and P2P multicast. The detailed appendix incorporates various additional experiments.

Measurements on Large-scale Peer-assisted Live Streaming

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Release : 2010
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Book Rating : 472/5 ( reviews)

Measurements on Large-scale Peer-assisted Live Streaming - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Measurements on Large-scale Peer-assisted Live Streaming write by Zimu Liu. This book was released on 2010. Measurements on Large-scale Peer-assisted Live Streaming available in PDF, EPUB and Kindle. In large-scale peer-assisted live streaming systems with hundreds of online channels, it becomes critically important to investigate the lifetime pattern of streaming sessions to have a better understanding of peer dynamics. Aiming to improve performance of the P2P streaming systems, the goal of this thesis is twofold: (1) for popular channels, we wish to identify superior peers, that contribute a higher percentage of upload capacities and stay for a longer period of time; (2) for unpopular channels, we seek to explore factors that affect the peer instability. Utilizing more than 130 GB worth of run-time traces from a large-scale real-world live streaming system, UUSee, we conduct a comprehensive and in-depth statistical analysis. Using survival analysis techniques, we discover critical factors that may influence the longevity. Based on the Cox regression models we built, we also discuss several interesting insights from our measurement results.