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Cloud edge resource collaborative unloading method for edge computing

An edge computing and resource technology, applied in computing, resource allocation, program control design, etc., can solve problems such as long waiting time, affecting user experience, car motor display freeze, etc., to reduce waiting time and improve user experience Effect

Pending Publication Date: 2022-05-13
GUANGDONG POWER GRID CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In recent years, with the development of intelligence and informatization of the Internet of Vehicles, the application of vehicle-mounted terminals has gradually developed into multimedia entertainment, resulting in explosive growth of task data, which has brought heavy pressure to scarce network resources; intelligent vehicles allow vehicles to The task is calculated locally, but the limited computing power of the vehicle itself is often unable to meet the low-latency task of the task, which makes the user wait too long when processing the task, and the car motor display freezes, etc., which greatly affects the user experience; therefore, for the vehicle Due to the limited network resources, reasonable allocation of vehicle network resources and cache, computing and communication resources can effectively improve resource utilization

Method used

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  • Cloud edge resource collaborative unloading method for edge computing
  • Cloud edge resource collaborative unloading method for edge computing
  • Cloud edge resource collaborative unloading method for edge computing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] refer to figure 1 , which is the first embodiment of the present invention, this embodiment provides a method for collaborative unloading of cloud-side resources for edge computing, including:

[0054] S1: Calculate the round-trip delay RT generated by data transmission between the edge layer and the cloud service layer, and the delay of task execution at the user layer of the Internet of Vehicles Latency of task execution at the edge layer and the execution delay of the task on the cloud server Find the total service delay

[0055] (1) The edge layer and the Internet of Vehicles user layer are connected through a wireless channel, the edge layer and the cloud service layer are connected through a wired channel, and the edge layer and the cloud service layer are connected through a wired channel to reduce the time between the edge layer and the cloud service layer. delay.

[0056] (2) Calculating the round-trip delay RT includes,

[0057] RT=2t c

[0058] Am...

Embodiment 2

[0087] The technical effect adopted in this method is verified and explained. In this embodiment, a traditional technical solution is selected to conduct a comparative test with this method, and the test results are compared by means of scientific demonstration to verify the real effect of this method.

[0088] Traditional technical solution: Only rely on the car-end user layer for data processing, causing problems such as motor display freezes and long delays.

[0089] In order to verify that this method is more efficient than the traditional method and reduce the waiting time of users, in this embodiment, the traditional technical solution and this method will be used to perform real-time measurement comparisons on the same vehicle unloading the same task on the same road section, and the results are as follows shown in the table.

[0090] Table 1: Comparison of verification results.

[0091]

[0092] It can be seen that, compared with the traditional technical solution,...

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Abstract

The invention discloses a cloud edge resource collaborative unloading method based on edge computing. Calculating round-trip time RT generated by data transmission between an edge layer and a cloud service layer, time delay of tasks executed in an Internet of Vehicles user layer, time delay of tasks executed in the edge layer and time delay of tasks executed in a cloud server to obtain total service time delay, sending the total service time delay to the cloud service layer, and judging whether the total service time delay is within a preset delay range or not; if yes, the total service time delay is output, otherwise, the total service time delay is minimized, and the minimum time delay is obtained; tasks can be reasonably distributed; waiting time is reduced, and user experience is improved.

Description

technical field [0001] The present invention relates to the technical field of collaborative offloading, and in particular to a method for collaborative offloading of edge computing cloud-side resources. Background technique [0002] In recent years, with the development of intelligence and informatization of the Internet of Vehicles, the application of vehicle terminals has gradually developed into multimedia entertainment, causing the explosive growth of task data and putting heavy pressure on scarce network resources; intelligent vehicles allow vehicles to The task is calculated locally, but the limited computing power of the vehicle itself is often unable to meet the low-latency task of the task, which makes the user wait too long when processing the task, and the car motor display freezes, etc., which greatly affects the user experience; therefore, for the vehicle Due to the limitation of networking resources, rational allocation of vehicle networking resources and cach...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L67/10H04L67/12H04W4/40G06F9/50
CPCH04L67/10H04L67/12H04W4/40G06F9/5072G06F2209/502
Inventor 曾纪钧龙震岳张小陆梁哲恒
Owner GUANGDONG POWER GRID CO LTD