Mobile computing offloading cooperative control system and method

Abstract

The invention provides a mobile computing unloading collaborative control system and method. The system comprises at least a preset controller and a virtual controller cluster generation sub-module, wherein the preset controller is at least one of the following controllers: a first controller, a plurality of second controllers, a plurality of third controllers, a plurality of fourth controllers, a plurality of node level controllers and a virtual controller cluster generation module, the preset controllers contained in the combination of different virtual controller clusters are different; the types of the first to the fourth controllers can be divided into any one of a global controller, a macro base station level controller, a micro base station level controller and a micro cloud cluster head level controller. By adoption of the mobile computing unloading collaborative control system and method, the computing unloading optimization control based on software defined can be accomplished, different mobile computing unloading collaborative optimization objectives based on user center or based on computing resources and / or network resource optimization are supported flexibly, and the expandability and the flexibility of the mobile computing unloading collaborative control method are improved.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a mobile computing offloading cooperative control system and method. Background technique [0002] Recently, the number of smart mobile devices has increased significantly. At the same time, these devices have also greatly improved in terms of CPU processing power, network connection capabilities, and sensing capabilities, which makes people use more mobile smart devices to access the network. And to obtain related application services, Mobile Cloud Computing (MCC: Mobile Cloud Computing), as a mobile application solution, has gradually become a mainstream choice for mobile smart devices to obtain application services. However, in the face of the implementation of some computing-intensive applications such as rich media and data analysis, mobile smart devices still have serious limitations in terms of computing power and battery life. To this end, in order to impro...

AI Technical Summary

Problems solved by technology

[0004] Through the investigation of solutions based on edge computing offloading, we found that the existing mobile computing offloading optimization strategies are designed according to a single definite optimization goal, and it is difficult to adapt to multiple computing offloading optimizations based on user-centered or network optimization-centered. Requirements and scalability and flexibility requirements for control

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