KEYWORDS: Video, Control systems, Multimedia, Data storage, Networks, Data modeling, Computer simulations, Data storage servers, Systems modeling, Lithium
An admission control algorithm is a very important component in a video server that can services large number clients simultaneously. Given the real-time requirements of each client and the fixed data transfer bandwidth, a VOD server must employ admission control algorithms to determine whether or not a new request can be admitted to the server without violating the requirements of the clients already being serviced. All prior admission control policies for VOD servers have focused on improving the storage system utilization such that a video server can service more users while satisfying the QoS requirements. For VOD service, the users can only view the video through transmission networks, so the transmission of video stream in the transmission networks is also very important. The admission control scheme presented in this paper is divided into two layers: disk subsystem admission control and network subsystem admission control. Through simulation, our admission control algorithm outperforms others significantly.
Providing massive media streaming services is a very difficult problem for academic research and also a very constructive proposal for commercial investment. Traditional client/server model with very high cost/profit ratio and big bottlenecks, and novel P2P model with complex management, are all not good. In this paper we propose a semi-autonomous peer-to-peer-like network to provide massive media streaming services and avoid above problems. Our scheme is a tradeoff between server-systems and P2P systems. In this scheme, we make full use of P2P systems advantages, high aggregation network bandwidth and large storage spaces. But to avoid the impacts from peers unbending actions, we divide whole network serving area into many small zones and designate a seeding server for whole network area and a sub-seeding server for each network zone. Simulation results prove the advantages of the new system with good scalability and stable QoS.
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