Service placement and bandwidth allocation method for edge environment-oriented video analysis application

A bandwidth allocation method and video analysis technology, applied in digital transmission systems, data exchange networks, electrical components, etc., can solve problems such as limited resources of edge nodes, inability to meet all nearby users, affecting user experience, etc., and reduce latency. Effect

Active Publication Date: 2021-09-07
JIANGSU ELECTRIC POWER CO +2
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

However, the resources of edge nodes are very limited and often cannot meet the needs of all nearby users
In addition, when a user moves from one area to another, in order to ensure user experience, the service entity should be migrated to a new edge node, and this migration process will bring additional system overhead and service interruption during the migration process. also affects the user experience

Method used

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  • Service placement and bandwidth allocation method for edge environment-oriented video analysis application
  • Service placement and bandwidth allocation method for edge environment-oriented video analysis application
  • Service placement and bandwidth allocation method for edge environment-oriented video analysis application

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Embodiment Construction

[0071] The present invention will be described in further detail below in conjunction with the embodiments and accompanying drawings. The description of the following specific embodiments is only to enable those skilled in the art to understand the technical solution more clearly, and does not constitute a limitation to the present invention.

[0072] Considering that various video analysis applications have different sensitivities to delay and frame rate, the present invention provides a more practical and effective method and idea of ​​selecting some of the service entities to be placed on a non-nearest but suitable edge node, and Correspondingly and reasonably allocate bandwidth resources to efficiently utilize edge node resources and improve the overall experience of all users. When making service placement decisions, it is necessary to carefully weigh the performance improvement and additional overhead brought about by service migration.

[0073] The edge computing nodes m...

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Abstract

The invention discloses a service placement and bandwidth allocation method for edge environment-oriented video analysis application. The method comprises the following steps: B1) collecting edge environment system state information of a current time slot; B2) calculating a service placement decision and a bandwidth allocation decision by using a two-layer iterative algorithm based on the current edge environment system state information; B3) executing a service placement decision and a bandwidth allocation decision; and B4) calculating the service migration cost of each user according to a decision result, and calculating and updating the queue length to serve as one piece of edge environment system state information of the next time slot. Aiming at video analysis application in an edge computing system, the invention provides an online two-layer iterative service placement and bandwidth allocation method, the limited computing resources and bandwidth resources of edge nodes are efficiently used, and the service migration cost and the user experience are effectively balanced.

Description

technical field [0001] The present invention relates to the field of edge computing, in particular to a service placement and bandwidth allocation method and system for edge environment-oriented video analysis applications. Background technique [0002] In recent years, with the rise and development of the Industrial Internet of Things, the Internet of Everything and smart empowerment have become a development trend. Among them, one important application is to use machine learning and other technologies to analyze video data collected by various cameras to realize regional monitoring, identity Authentication, anomaly detection and other functions. For example, in the power Internet of Things, transmission line inspectors use the camera on the drone to collect line images from multiple angles, and combine image recognition technology to detect abnormalities on the line to ensure the safety of power transmission. With the widespread deployment of these video analysis applicat...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04L29/08
CPCH04L41/142H04L41/0896H04L67/51
Inventor 韦磊缪巍巍曾锃曹拓钱柱中
Owner JIANGSU ELECTRIC POWER CO
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