A fog computing environment business traffic acceleration system and business traffic acceleration method

Abstract

The present invention provides a fog computing environment business flow acceleration system and a business flow acceleration method thereof, comprising: a cloud server, at least one fog computing node, at least one field programmable gate array FPGA accelerator card and at least one business terminal; the cloud server, It is used to pre-store at least one acceleration program; each business terminal is used to send the acceleration demand to the fog computing node connected to the business terminal when receiving the acceleration demand sent by the user; each fog computing node is used to receive the acceleration demand sent by the user When the business terminal sends the acceleration demand, download the demand acceleration program corresponding to the acceleration demand from at least one acceleration program stored in the cloud server, and load the demand acceleration program into the FPGA accelerator card connected to the fog computing node; each FPGA The acceleration card is configured to use the demand acceleration program to accelerate the service flow corresponding to the acceleration demand when the demand acceleration program is loaded. This solution can meet the requirement of low power consumption on the edge side.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a fog computing environment service flow acceleration system and a service flow acceleration method thereof. Background technique [0002] In recent years, the Internet has developed rapidly. From the PC Internet and mobile Internet to the Internet of Things era, the era of the Internet of Everything has arrived. Various heterogeneous devices such as mobile communication devices and Internet of Things terminal devices are connected to the Internet. The cloud center aggregates a large number of Physical hardware resources, and the use of virtualization technology to realize the unified allocation, scheduling and management of heterogeneous network computing resources, and the centralized construction of data centers greatly reduces the cost of computing and storage. However, as the amount of data becomes larger and larger, the transmission rate is declining, and sometimes there ...

AI Technical Summary

Problems solved by technology

[0003] Fog computing nodes are closer to the business demand side, and its distributed deployment characteristics make it impossible to have such a powerful storage and computing capability in the cloud center. Therefore, there are greater requirements for the power consumption of fog computing nodes

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