Research On Resource Scheduling Management Of Large-Scale Edge Computing Devices

Edge device resource scheduling management refers to the scheduling and management of resources such as computing,storage and network inherent in the device,as well as the scheduling of computing tasks within the device,with the edge computing device as the basic unit.In most device management systems,there is a problem of how to efficiently manage large-scale heterogeneous edge computing device resources.In order to schedule and manage the computing and storage resources in millions of heterogeneous edge computing devices,this paper proposes a resource scheduling management scheme for large-scale heterogeneous edge computing devices,and implements a device resource scheduling management system according to the scheme.The main work of this article is as follows:(1)In terms of scheduling and managing the inherent resources of equipment,through the comparative analysis of the respective characteristics of the equipment resource scheduling and management schemes in the field of edge computing,the cloud computing resource capabilities and edge computing distribution capabilities are combined,and the cloud edge end collaborative device resource management mode is proposed.This pattern divides the entire resource management system into cloud layers,edge layers,and device layers.The three cloud edges work together by transferring metadata.(2)In terms of the calculation task in the scheduling management equipment,with the calculation and unloading as the core idea,the genetic algorithm is used as the algorithm base,and the calculation task scheduling algorithm is realized by optimizing the steps such as cross-variation in the algorithm,which makes the edge device take less time to perform specific computing tasks and consume less energy itself.(3)In the process of system implementation,the cloud core module is realized through technologies such as lightweight and resource management service component life cycle.The edge layer completes all aspects of the device resource access device management system process by customizing the device model resources,device instance resources,and resource mapping relationships.All functional modules of the three layers of the cloud edge are uniformly scheduled and managed by the underlying edge computing framework,and finally reach the state of collaborative work.The equipment resource scheduling management scheme and management system is an exploratory application of cloud-edge integration thinking in the management of large-scale equipment scenarios,and is a comprehensive practice of the new technology of edge computing ecology,which has reference significance for the study of massive edge computing equipment resource scheduling management.