Network equipment and packet forwarding method

Abstract

The invention provides a network equipment and a message forwarding method; wherein, the network equipment comprises a first multicore processor and a second multicore processor. The first multicore processor comprises a first classification unit and a first forward processing unit which comprises a plurality of core units, and the second multicore processor comprises a second classification unit and a second forward processing unit which comprises a plurality of core units. By adopting the equipment and the method of the invention, the message forward processing capability of network equipment can be effectively improved.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to View More

AI Technical Summary

Benefits of technology

The technical effect of this patented technology allows for efficient communication across multiple networks by dividing messages into two types - one being sent from primary processor cores towards secondary ones (called also called multicore) while another routing them through other parts of the system based on their preferred strategies chosen by certain processes within it. This improves overall performance and ensures consistently high data transmission rates over all connections without any issues or delays associated therewith.

Problems solved by technology

The technical problem addressed in this patents relates to improving how fast computers handle tasks like fetching data and performing operations within their own small chipsets. Current solutions involve adding hardware accelerators or reducing the number of cores used per second, leading to slower operation times and reduced performance. Additionally, conventional techniques aimed at maximization often result in poorer performance than desired results because they require significant amounts of computational capacity beyond what could otherwise be needed.

Images