Scheduling optimization method and device, electronic equipment and storage medium
An optimization method and technology of electronic equipment, applied in the direction of mechanical equipment, multi-programming device, neural learning method, etc., can solve the problem of low scheduling optimization efficiency
Active Publication Date: 2021-08-13
HANGZHOU INNOVATION RES INST OF BEIJING UNIV OF AERONAUTICS & ASTRONAUTICS
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[0003] However, the inventors have found that in the prior art, all tasks are either executed locally on the mobile device, or are all dispatched to the UAV or the base station for remote execution, so there is a problem of low scheduling optimization efficiency
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[0051]Due to the high mobility and flexibility of UAVs (Unmanned Aerial Vehicles, UAVs), in recent years, researchers have established communication relationships with mobile devices (MobileDevices, MDs) of users by deploying related wireless communication nodes on UAVs. , proposed the technology of using drones to assist Mobile Edge Computing (MEC) in various application scenarios. When the network infrastructure is unavailable (such as a natural disaster rescue site), network equipment is sparsely distributed (such as a field operation environment), or when faced with a temporary surge of mobile devices that far exceeds the network service capacity (such as a large game or assembly), UAVs can be used as communication relay stations or edge computing platforms. After the computing resources are deployed by drones, the drone-assisted mobile edge computing network will bring many advantages, such as reducing network overhead, reducing computing task execution latency, better qu...
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The embodiment of the invention provides a scheduling optimization method and device, electronic equipment and a storage medium, and relates to the technical field of scheduling optimization. The scheduling optimization method is applied to the electronic device, the electronic device is in communication connection with a mobile edge computing network system, the mobile edge computing network system comprises at least one base station, an unmanned aerial vehicle and a mobile device, and the scheduling optimization method comprises the following steps: firstly, obtaining a to-be-processed task and current position information of the at least one mobile device; secondly, inputting the to-be-processed task and the current position information into a preset scheduling optimization model to obtain a scheduling strategy; and sending the scheduling policy to the at least one mobile device. Through the method, the first task can be scheduled to the unmanned aerial vehicle for processing, and the second task can be scheduled to the base station for processing, so that the problem of low scheduling optimization efficiency caused by the fact that all tasks are executed in the local of the mobile equipment or all the tasks are scheduled to the unmanned aerial vehicle or the base station for remote execution in the prior art is avoided.
Description
technical field [0001] The present application relates to the technical field of scheduling optimization, and in particular, to a scheduling optimization method and device, electronic equipment, and a storage medium. Background technique [0002] In the field of UAV-assisted mobile edge computing, it is necessary to properly determine the scheduling of UAV computing tasks in the mobile edge computing network (whether the computing task is executed locally on the mobile device or dispatched to the UAV or base station). decision to obtain desired performance. [0003] However, the inventors have found that in the prior art, all tasks are either executed locally on the mobile device, or all tasks are dispatched to drones or base stations for remote execution, so there is a problem of low scheduling optimization efficiency. Contents of the invention [0004] In view of this, the purpose of the present application is to provide a scheduling optimization method and device, elec...
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Login to View More IPC IPC(8): G06F9/48G06F9/50G06K9/62G06N3/04G06N3/08
CPCG06F9/4881G06F9/5027G06F9/5072G06N3/08G06N3/044G06F18/23G06F18/214Y02T10/40
Inventor 任涛胡哲源谷宁波牛建伟胡舒程李青锋
Owner HANGZHOU INNOVATION RES INST OF BEIJING UNIV OF AERONAUTICS & ASTRONAUTICS