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Task migration method in edge computing platform

An edge computing and task technology, applied in digital transmission systems, electrical components, transmission systems, etc., can solve problems such as inability to fully and rationally utilize server resources, high data transmission pressure, and high energy consumption expenses, so as to reduce migration costs, High accuracy and avoid waste effect

Active Publication Date: 2020-12-15
HARBIN INST OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the task migration method in the existing edge computing platform has high energy consumption, prolonged computing time, and high data transmission pressure, resulting in too many "overloaded" and "underloaded" servers in the edge computing platform, which cannot make full and reasonable use of servers. resource

Method used

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  • Task migration method in edge computing platform
  • Task migration method in edge computing platform
  • Task migration method in edge computing platform

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specific Embodiment 1

[0069] First, use the BRITE topology generator to sequentially generate virtual network topologies corresponding to small-scale, medium-scale, and large-scale tasks. The number of nodes is 100-level, 1,000-level, and 10,000-level respectively; then, the parameters in the virtual network topology are described in Table 1 As shown, P c ,P u ,P r and P k Corresponding to the task creation, update, stable operation and death probability respectively.

[0070] Table 1 Virtual network topology experiment parameter table

[0071]

[0072] Next, build a physical network topology for small-scale task processing, with a total of 50 servers, and the amount of server resources is shown in Table 2. CPU C , CPU e Corresponding to the amount of CPU resources of the cloud center server and the edge server respectively; Mem C 、Mem e Corresponding to the amount of memory resources of the cloud center server and the edge server respectively; Sto C 、Sto e Corresponding to the amount ...

specific Embodiment 2

[0097] Aiming at the problem of dynamic task migration, the method of the present invention is compared with two methods evolved from traditional methods to meet the technical problems of the present invention.

[0098] (1) Small-scale dynamic task migration

[0099] Figure 12 A comparison result diagram of energy consumption overhead of small-scale dynamic task migration of a task migration method in an edge computing platform according to an embodiment of the present invention is shown. From Figure 12 It can be seen from the figure that when performing small-scale dynamic task migration, compared with the static method, the method of the present invention has more obvious advantages, mainly because when the task state changes, its resource demand may be reduced, so that the corresponding server becomes available For coldspot nodes that are shut down, the corresponding energy consumption will be reduced. Figure 13 It shows a comparison result diagram of communication ov...

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Abstract

The invention discloses a task migration method in an edge computing platform, belongs to the technical field of edge computing, and is used for reducing energy consumption expenditure, communicationexpenditure, migration expenditure and comprehensive expenditure of the energy consumption expenditure, the communication expenditure and the migration expenditure during task migration in the edge computing platform. The method comprises the steps of dividing each server node of a physical network topology into a hotspot node, a warmspot node and a coldspot node according to the CPU resource utilization rate; preprocessing the physical network topology; respectively carrying out short-term resource utilization rate prediction on the hotspot node and the coldspot node; and respectively carrying out task migration on the hotspot node and the coldspot node which need to be subjected to task migration, and obtaining the position of the server where each migrated task is located. The method isused for eliminating servers exceeding the upper limit of the resource utilization rate and lower than the lower limit of the resource utilization rate in the edge computing platform, effectively reducing the energy consumption overhead, the computing time delay and the data transmission pressure of the system, fully utilizing the storage and computing capabilities of the edge servers and relieving the pressure of a cloud computing center.

Description

technical field [0001] The invention relates to the technical field of edge computing, in particular to a task migration method in an edge computing platform. Background technique [0002] Edge computing is a new type of computing model following distributed computing, grid computing, and cloud computing. By migrating tasks on the edge computing platform, tasks can be more reasonably and evenly distributed to each edge and cloud center server, thereby Realize the efficient and reasonable use of each server resource in the edge computing platform, thereby effectively reducing the computing delay and data transmission pressure of the system, making full use of the storage and computing capabilities of the edge server and alleviating the pressure on the cloud computing center. In addition, realizing the migration process of tasks in the edge computing platform can limitly avoid the interruption of task processing and response caused by hardware failures. However, the task migr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04L12/24
CPCH04L67/1074H04L67/10H04L41/12
Inventor 张伟哲何慧方滨兴王德胜彭佳滨
Owner HARBIN INST OF TECH
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