Calculation unloading distribution method of edge server

Abstract

The invention discloses a calculation unloading distribution method of an edge server. The method comprises the following steps of: constructing a to-be-optimized vector according to the proportion oftasks executed by each user terminal on an edge server in the tasks of the user terminal; utilizing a first target sub-function, a second target sub-function and a third target sub-function to construct a target optimization function, wherein the first target sub-function is the sum of the calculation time of locally executing tasks on all user terminals and the calculation time of executing tasks on the edge server, the second target sub-function is the sum of the energy consumption of locally executing the tasks on all the user terminals and the energy consumption of executing the tasks onthe edge server, and the third target sub-function is the sum of the charges generated by executing the tasks on the edge server; and solving the optimization value of the to-be-optimized vector by utilizing the target optimization function, and correspondingly configuring the proportion of the tasks executed by each user terminal on the edge server in the tasks of the user terminal according to the optimization value of the to-be-optimized vector.

Description

technical field [0001] The invention belongs to the field of cloud edge server computing, and in particular relates to a computing offloading distribution method for edge servers. Background technique [0002] With the rapid development of the Internet and the popularization of 4G / 5G wireless networks, the era of the Internet of Everything has arrived, and the rapid increase in the number of network edge devices has caused the explosive growth of data generated by such devices, which has reached the ZB level. In the era of centralized big data processing with the cloud computing model as the core, its key technologies are no longer able to efficiently process data generated by network edge devices, mainly in the following areas: 1) The centralized cloud computing capacity grows linearly and cannot match the explosive growth 2) The network edge devices need to transmit massive data to the cloud center, and the cloud center returns the processed results to the user. The result...

AI Technical Summary

Problems solved by technology

[0005] In view of the above defects or improvement needs of the prior art, the present invention provides a calculation offloading distribution method for edge servers, aiming at solving the problem that th

Images