Video-oriented traffic control and optimization method and system

Abstract

The invention discloses a video-oriented traffic control and optimization system which comprises a main card and I/O cards. The main card is composed of a multi-core processor and other modules, and the I/O cards are expandable modules. Each I/O card can provide four one million ports or two ten billion ports, and the port of each I/O card can choose an optical fiber or a cable. The other modules comprise a DPI accelerating module, a message processing accelerating module, a cache accelerating module and an encryption/decryption module. The DPI accelerating module is used for searching for the content part of messages to be matched with a specific character string or mode to a data stream or the stream media. The message processing accelerating module is used for assisting a processor to achieve synchronization, ordering, scheduling and the like of the messages and increasing the speed of the processor for processing the messages. The cache accelerating module is used for reducing the burden of the process on the aspects of processing a message caching unit, queuing management and the like. The encryption/decryption module is used for accelerating the functions of encryption and decryption.

Description

technical field [0001] The invention belongs to the field of communication technology and computer, and in particular relates to a video-oriented flow control and optimization method and system. Background technique [0002] After experiencing the data explosion in the last decade of the last century, the Internet has experienced another explosive growth in traffic in recent years. However, the content of the data this time is online video, which is different from traditional computer data only in terms of transmission characteristic requirements. In the mobile Internet, the impact and challenges of video media to mobile operators are greater. This is because in a wireless network, spectrum resources are limited and the upper limit of the bandwidth is restricted. In addition, the cost of wireless network networking and capacity expansion is high. Changes in external conditions (such as interference and weather) cause fluctuations in the available bandwidth, especially th...

AI Technical Summary

Problems solved by technology

[0005] 2) Increased operating costs: a substantial increase in traffic means increased network construction and operating costs

[0006] 3) Increase the pressure on the last mile: Access to the network is easy to become a bottleneck, especially the wireless network / mobile network. Due to the external environment, signal interference, attenuation and other user load distribution, the actual available bandwidth fluctuates

[0007] 4) Expanding bandwidth does not always solve the problem: network congestion occurs randomly in time and place

[0009] 1) QoS is a priority arrangement. It regards real-time services (such as video) as VIPs, causing a small number of heavy users to occupy a large amount of network resources, and even affecting the online experience of most light users.

Furthermore, its packet loss and latency decisions are based only on local conditions;

[0010] 2) The TCP sending window presents an inherent cycle of "compression-expansion", which will lead to a decrease in the efficiency of the TCP pipeline due to the "sawtooth" effect, and the network bandwidth cannot be fully utilized; the TCP honor system arrangement gives some applications an opportunity to Unreasonably occupying too many network resources

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