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Enhancing Scalability in On-Demand Video Streaming Services for P2P Systems

DOI: 10.1155/2012/109619

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Recently, many video applications like video telephony, video conferencing, Video-on-Demand (VoD), and so forth have produced heterogeneous consumers in the Internet. In such a scenario, media servers play vital role when a large number of concurrent requests are sent by heterogeneous users. Moreover, the server and distributed client systems participating in the Internet communication have to provide suitable resources to heterogeneous users to meet their requirements satisfactorily. The challenges in providing suitable resources are to analyze the user service pattern, bandwidth and buffer availability, nature of applications used, and Quality of Service (QoS) requirements for the heterogeneous users. Therefore, it is necessary to provide suitable techniques to handle these challenges. In this paper, we propose a framework for peer-to-peer- (P2P-) based VoD service in order to provide effective video streaming. It consists of four functional modules, namely, Quality Preserving Multivariate Video Model (QPMVM) for efficient server management, tracker for efficient peer management, heuristic-based content distribution, and light weight incentivized sharing mechanism. The first two of these modules are confined to a single entity of the framework while the other two are distributed across entities. Experimental results show that the proposed framework avoids overloading the server, increases the number of clients served, and does not compromise on QoS, irrespective of the fact that the expected framework is slightly reduced. 1. Introduction Today, Internet faces proliferation of social network groups that use advanced technology to transfer large commercial data such as image, audio, and video. This trend has led to the popular websites such as YouTube, Flickr, and Joost. As a result, the number of user requests for various video contents through the Internet has grown exponentially every year [1]. Even with reduction in cost on storage and connectivity, the Internet still faces problem in providing quality video to all its customers. Video server faces scalability problem to a large extent with millions of users added to the community every year. Therefore, serving heterogeneous clients efficiently is still an unsolved problem at the servers [2]. Video-on-Demand (VoD) is one such application that has large viewership. It is different from video live streaming. In live video streaming systems, nodes request for data around a particular playback time [3], with ultimately no interactive request such as Fast-Forward (FF) or Back-Ward (BW), and hence become


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