Abstract
Problem statement: Multimedia Conferencing System (MCS) is a server-based video conferencing system. One of the most critical limit ations faced by this approach is the scalability is sue. In the MCS, the outgoing bandwidth of the server is shared among all concurrent clients. Thus, the mor e clients there are, the lesser the bandwidth each cl ient can have. The performance of this approach therefore deteriorates rapidly as the number of sim ultaneous clients increases. In addition, a pure se rver- based solution is expensive. Approach: In this research, the server-based infrastructure is modified into a peer-to-peer video conferencing system while preser ving the same functionality and features of the existing MCS. This modification can be achieved using a hybrid content distribution model, which is a combination of fluid and chunk content distribution models to distribute parts of the video stream fai rly among participants. The hybrid content distribution model offers a better way of handling heterogeneou s networks because it can distinguish between a fast peer and a slow peer, dealing with each one accordi ng to its capabilities. Results: In our proposed system, the function server will n ot be used for video distribution. Instead, it will only be used for mon itoring and controlling the peers to reduce the bur den on the servers. Experimental results conducted in the nation advanced IPv6 center as a real environment a nd live conferencing. Conclusion: This will lead to overcome the problem of scalabil ity and a bandwidth bottleneck on the main server and achieve good way to distribute video chunks.
Highlights
Video conferencing applications are scalability issue limitation
We proposed the conversion of the Multimedia Conferencing System (MCS) server-based system to a P2P video conferencing system called the P2PMCS using a hybrid content distribution model without a coding network
In P2PMCS, we need to determine the neighbors for each peer who would exchange parts of the video stream with them based on Round Trip Time (RTT) values to identify the nearest peers in the underlying network
Summary
Video conferencing applications are scalability issue limitation. the overlay network is used to overcome all other limitations through the utilization of peer resources. We proposed the conversion of the MCS server-based system to a P2P video conferencing system called the P2PMCS using a hybrid content distribution model (a combination of Fluid and Chunk content distribution model) without a coding network. In this way, we overcome the disadvantages of both models and get more nearly optimal behavior to distribute the content in our system. In P2PMCS, we need to determine the neighbors for each peer who would exchange parts of the video stream with them based on RTT values to identify the nearest peers in the underlying network This message consists of two packets: Negtable and ACKReceiV. In server based the upload bandwidth was about 400 kbps with two users This value increased gradually when the number of users increased, with the bandwidth even
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