Fast lowcost multimedia

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Transmission of multimedia data over a packet-switched network typically requires resource reservation to guarantee an acceptable level of performance (e.g., throughput or delay). In this article we address the problem of how to make such real-time communication reliable. First of all, it is essential to bound the duration of service disruption caused by failures to a reasonably little value. Considering the large volume of multimedia data, minimizing the fault- tolerance overhead is also important. Furthermore as more applications with different dependability requirements share the same network, the level of dependability for a given application should be “customizable”, depending on the criticality of the application. We first survey the existing approaches, and then present our scheme which is developed in accordance with three design goals: fast failure recovery, low fault tolerance overhead, and per-connection reliability guarantee. Our scheme provides and integrated solution covering such issues as connection establishment, failure detecting, runtime failure recovery, and resource reconfiguration.

REAL – TIME COMMUNICATIONS

Real time transport of continuous media (video and audio) is achieved through circuit switching in telephone services or by broadcasting over shared media in television services. The end-to-end performance is necessary to achieve required functionally of these application (in real time applications) is often called end-to-end quality of services (QOS). Today’s representative computer network, Internet also lacks QOS support for continuous media applications.

However, many protocols such as RTP [1] XTP [1] and IP multicast which are deployed on Internet to achieve QOS. But these protocols do not meet the true multimedia requirements because they only support a best effort service model. As the demand for real-time communication services in recent years, numerous QOS models were developed ranging from constant bit rate (CBR) services, which resembles telephony service to the “controlled-load” service which mimics the best-effort service in unloaded network. As QOS is our main concern n real-time communications, they rely on some form of resource reservation and admission controls. They share three common properties.

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