Abstract
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.
Highlights
Today, Internet faces proliferation of social network groups that use advanced technology to transfer large commercial data such as image, audio, and video
We put forth a test copy of the system that is suited for application such as VoD, based on settop boxes as well as the multimedia content sharing at the social network systems
The fundamental approach to the reduction in service latency as well as providing optimal quality than any feasible solution is our concern. We prove this here with the several graphs and tables which provide proof to the system with the tracker and our Quality Preserving Multivariate Video Model (QPMVM) which is more advantageous than the systems that have very few factors working at the server end or the client end or at the proxy end
Summary
Internet faces proliferation of social network groups that use advanced technology to transfer large commercial data such as image, audio, and video. We provide a new solution by combining winning factors such as optimal multiversion and multilayer adaptive streaming [8] video server for the distributive sharing P2P clients and a proxy kind of tracker to reduce the load at the sever that manages peers. We compared this proposed work with existing P2P Gnutella and client server systems with relevant QoS and resource management techniques.
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