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Computing migration method for cooperation between fog nodes

An inter-node and node-based technology, applied in computing, program control design, multi-program device, etc., can solve problems such as long network transmission delay, fog nodes cannot process tasks at the same time, and edge node service capabilities are limited, etc., to improve resource utilization. Effectiveness, reduction of network transmission delay, and effect of reducing complexity

Active Publication Date: 2021-01-12
GUANGDONG UNIV OF PETROCHEMICAL TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the limited service capability of edge nodes, when the batch of tasks is large, fog nodes cannot process the batch of tasks at the same time
If these tasks are migrated to other fog nodes in the edge computing system for processing, it may be difficult to find a fog node in the edge network that can process the batch of tasks at the same time. If they are all migrated to the cloud computing center for processing, the batch of tasks Both experience long network transmission delays

Method used

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  • Computing migration method for cooperation between fog nodes
  • Computing migration method for cooperation between fog nodes
  • Computing migration method for cooperation between fog nodes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] Such as figure 1 As shown, a collaborative computing migration method among fog nodes, including the task assignment process of fog nodes, the cooperative migration task assignment process of edge controllers and the task scheduling process of fog nodes. The fog node receives a batch of computing tasks from the user application, triggering the task allocation process of the fog node; the edge controller receives the task migration request from one or more fog nodes, and triggers the collaborative migration task of the edge controller Assignment process; after the fog node obtains the assignment result of each task, it executes the task scheduling process.

[0047] Such as figure 2 As shown, the edge computing system is composed of an edge controller located in the center of the access network and fog nodes distributed within the range of the access network. The edge computing system is interconnected with the cloud computing center through a communication network; pr...

Embodiment 2

[0049] Such as image 3 As shown, the fog node receives a batch of computing tasks from user applications, and the size of the batch of tasks is A i , where i represents the identity of the fog node in the edge computing system, triggering the task assignment process of the fog node, including the following steps:

[0050] S101: Determine whether the number of the batch of tasks is less than or equal to the service rate of the fog node at the current moment. Order S i Indicates the service rate of the fog node at the current moment, then judge whether A i ≤S i ; Yes, go to step S102; No, go to step S104.

[0051] S102: Set all the tasks of the batch as local calculations, that is: set A i If all tasks are set as local computing, go to step S103.

[0052] S103: Report the current remaining service rate of the fog node to the edge controller, that is, S i -A i The value of is reported to the edge controller, go to step S106.

[0053] S104: Set the same number of tasks i...

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Abstract

The invention discloses a computing migration method for cooperation between fog nodes, an edge computing system comprises one or more fog nodes and an edge controller, and the edge computing system is connected with a cloud computing center through a communication network. The fog node receives a batch of computing tasks from a user application program and triggers a task allocation process of the fog node. The edge controller receives a task migration request from one or more fog nodes and triggers a cooperative migration task allocation process of the edge controller. The fog node executesa task scheduling process after obtaining the allocation result of each task. According to the migration method provided by the invention, the response delay of the computing task can be shortened, the resource utility of the edge computing system is improved, and the edge computing can meet the service quality requirement of the computing task.

Description

technical field [0001] The present invention relates to the field of edge computing, and more specifically, it relates to a collaborative calculation migration method among fog nodes. Background technique [0002] With the explosive growth of IoT terminals, a large number of computing tasks are generated at the edge of the network. These computing tasks often require ultra-low response delays. For example, computing tasks generated by applications such as autonomous driving and industrial automation often only tolerate responses within 10 milliseconds. Delay. The traditional cloud computing paradigm needs to transmit computing tasks from the edge of the network to a remote cloud computing center for processing. However, when computing tasks are transmitted from the edge of the network to the cloud computing center, it often needs to experience a network transmission delay of several hundred milliseconds, which cannot meet the needs of low-latency objects. Quality of service...

Claims

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Application Information

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IPC IPC(8): H04L12/911H04L29/08G06F9/50
CPCH04L67/12H04L47/781H04L47/783G06F9/5061G06F9/5027G06F2209/502
Inventor 米顿郭棉吕运容段志宏张清华
Owner GUANGDONG UNIV OF PETROCHEMICAL TECH
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