Network configuration for loading high-speed data business and trans mitting method

Abstract

Main points of the method are as following: a logical independent, centralized controlled, connection oriented network architecture-optical kernel network is built for transmitting services in mass blocks such as multimedia and large files; and general services are still carried by traditional light paroxysmal exchange network. The said network architecture is full optical overlay network includes service classifier, optical kernel network, and optical paroxysmal exchange network. The said two kinds of network possess same topology. After service enters into fringe node of network, the service classifier judges whether the service is a service in mass blocks or not; the service is sent to corresponding network respectively. Space-time label protocol of possessing function of resources configuration and router is adopted in the optical kernel network so as to realize statistical multiplexing of network resources, and take full advantage of abundant bandwidth resources.

Description

technical field [0001] The invention relates to a network system for carrying high-speed data services and a transmission method thereof, in particular to a network system that can efficiently support high-speed data services, such as streaming media, high-definition digital television (HDTV), large text data in computing centers, A network system and a transmission method for transmitting interactive multimedia and Grid application grid data on a backbone optical network. Background technique [0002] In recent years, the characteristics of network services have shifted from voice-based circuit switching services to data-based packet switching services. The next-generation network will be a multi-service network that integrates data services and multimedia services, providing users with High-speed data and multimedia services, including video workstations, large file data in computing centers, large-scale databases, and multi-channel high-definition televisions; The real-t...

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Problems solved by technology

image 3 It shows the proportion of large data packets and small data packets in the self-similar services entering network edge nodes in a certain period of time under different network service self-similar characteristic parameters (Hurst parameters in heavy-tailed distribution), which can be It can be seen that services larger than the average packet length account for more than 75% of the total business volume. When the network service self-similar characteristic parameter is 0.8, the business with the CLUSTER effect accounts for more than 80% of the total business volume. If the traditional The blind and random resource allocation method will lead to a significant reduction in the utilization of network resources, and even the paralysis of the network

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