Dynamic Scheduling Method for Video Intelligent Analysis Tasks Based on Edge Computing Power Collaborative System

LI Chenghua; SHI Shengtao; LI Xiaotian; JIANG Xiaoping; SHI Hongling

doi:10.11999/JEIT221570

Volume 45 Issue 12

Dec. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(12): 4458-4468

LI Chenghua, SHI Shengtao, LI Xiaotian, JIANG Xiaoping, SHI Hongling. Dynamic Scheduling Method for Video Intelligent Analysis Tasks Based on Edge Computing Power Collaborative System[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4458-4468. doi: 10.11999/JEIT221570

Citation:

LI Chenghua, SHI Shengtao, LI Xiaotian, JIANG Xiaoping, SHI Hongling. Dynamic Scheduling Method for Video Intelligent Analysis Tasks Based on Edge Computing Power Collaborative System[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4458-4468. doi: 10.11999/JEIT221570

Citation:

LI Chenghua, SHI Shengtao, LI Xiaotian, JIANG Xiaoping, SHI Hongling. Dynamic Scheduling Method for Video Intelligent Analysis Tasks Based on Edge Computing Power Collaborative System[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4458-4468. doi: 10.11999/JEIT221570

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Dynamic Scheduling Method for Video Intelligent Analysis Tasks Based on Edge Computing Power Collaborative System

doi: 10.11999/JEIT221570 cstr: 32379.14.JEIT221570

LI Chenghua^{1, 2},
SHI Shengtao¹,
LI Xiaotian¹,
JIANG Xiaoping^{1, 2
,
,},
SHI Hongling^{1, 2}

1.
College of Electronic and Information Engineering, South-central University for Nationalities, Wuhan, 430074, China
2.
Hubei Province Key Laboratory of Intelligent Wireless Communication, Wuhan, 430074, China

Funds: The National Key R&D Program of China (2020YFC1522600), The South-Central University for Nationalities (CZT20001)

Received Date: 2022-12-23
Accepted Date: 2023-07-31
Rev Recd Date: 2023-07-24

Available Online: 2023-08-07

Publish Date: 2023-12-26

Abstract

Abstract

Intelligent analysis of surveillance video data based on deep learning models can improve the cultural relics security risk prevention capabilities of cultural relics museum units. In view of the needs of cultural relics museum units to make full use of existing free and available computing resources to complete more intelligent analysis of video data, a dynamic scheduling method for video intelligent analysis tasks is proposed. The device serves as a computing node to form an edge computing power collaborative system to process intelligent video analysis tasks. In this paper, the problem to be solved is modeled as a two-dimensional multiple knapsack problem, and the method of dynamic programming is used to solve how to allocate dynamically video analysis tasks on the edge computing power collaborative system so that the security value and benefits obtained by the system execution tasks in each time period problem of maximization. The simulation results show that the proposed method can dynamically allocate video intelligent analysis tasks based on the monitoring and analysis of the current resource usage status of the system without interfering with the normal business application services of cultural relics museum units, achieving the goal of maximizing security value and benefits purpose.
- Task scheduling,
- Source constraints,
- Intelligent video analysis,
- Cultural relics security

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References(17)

References

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