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Multi-application fine-grained unloading method and system architecture for a cloud-side collaborative network

A collaborative network and multi-application technology, applied in the direction of multi-program installation, program loading/starting, program starting/switching, etc., can solve the problem of insufficient utilization, no consideration of mobile device computing offloading requests, and no collaborative control that can be implemented issues such as permanent solutions, to achieve excellent performance and reduce delay

Active Publication Date: 2021-07-30
HUNAN INST OF TECH
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Problems solved by technology

Therefore, this type of research work does not make full use of the characteristics of mobile cloud computing and mobile edge computing to improve the execution performance of mobile applications.
[0004] In addition, most of the existing research on fine-grained task offloading in cloud-edge collaborative network computing systems only considers the design of fine-grained task offloading schemes for one application, and does not consider the situation where a large number of mobile devices will send computing offloading requests at the same time
Although some recent work proposes to use a centralized mechanism to control the computing offload of multiple mobile applications and optimize the average execution span of the application, this type of work does not show how to coordinate the control in the cloud-edge heterogeneous network computing system. implementable plan

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  • Multi-application fine-grained unloading method and system architecture for a cloud-side collaborative network

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Embodiment Construction

[0048] In order to facilitate those skilled in the art to better understand the improvements of the present invention over the prior art, the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0049] In the prior art, a cloud-edge collaborative network system consists of a three-layer structure, such as figure 1 shown. The top layer is a remote cloud service center, which can provide users with powerful computing capabilities by providing a certain number of virtual machines. The second layer consists of some edge computing devices, such as roadside service units and micro base stations of the Internet of Vehicles. They can be thought of as edge servers that are closer to users. All edge devices have their own computing power, and computing resources are limited. These edge devices can communicate with each other and connect to the remote central cloud through the core network. Each edge device has a specific ...

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Abstract

The invention relates to a multi-application fine-grained unloading method and system architecture for a cloud-side collaborative network, and the method for realizing multi-application fine-grained unloading comprises the following steps: uploading application data to be unloaded to a decision controller by a mobile device; storing the uploaded application data into an application data pool; calculating a probability B-Level for each task in the application data; taking out the ready tasks from the application data pool, and arranging the ready tasks in a queue according to a set sorting level; taking out the ready tasks from the sorting queue in sequence and performing scheduling planning on the ready tasks; and distributing the task to the target computing service equipment according to the scheduling plan. According to the multi-application fine-grained unloading method, an enforceable scheme in the cloud-side collaborative network computing system is given by setting a decision controller, when the mobile application is subjected to fine-grained unloading, the application is decoupled, and only a task in a ready state is assigned, allocated and allocated to target computing equipment every time, and the time delay of multi-application fine-grained computing unloading under the cloud-edge collaborative network is effectively reduced.

Description

technical field [0001] The present invention relates to the technical field of mobile computing and Internet of Things application processing, and in particular to a method and system architecture for fine-grained offloading of multi-applications in a cloud-edge collaborative network. Background technique [0002] The massive growth of smart mobile devices has led to the vigorous development of human-computer interaction mobile applications for various purposes. Due to the constraints of the physical characteristics of mobile devices, the development speed of their computing power is far behind the development of mobile application computing needs. For example, applications such as gesture recognition, face recognition, health monitoring, and augmented reality are composed of computing tasks associated with internal dependency constraints, and such applications usually have large resource consumption requirements and high user experience requirements. Using computing offload...

Claims

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Application Information

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IPC IPC(8): G06F9/48G06F9/50G06F9/445
CPCG06F9/4881G06F9/5038G06F9/505G06F9/44594Y02D10/00
Inventor 柳佳刚贺令亚
Owner HUNAN INST OF TECH
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