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Seamless service migration method based on user movement perception and computer system

A user-moving, user-friendly technology, applied in computing, computing models, machine learning and other directions to reduce complexity and migration

Pending Publication Date: 2022-05-10
CENT SOUTH UNIV
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Problems solved by technology

[0005] The present invention provides a seamless service migration method and computer system based on user mobility perception, which are used to solve the technical problem of long-term optimization of service migration in a small cell edge computing system

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  • Seamless service migration method based on user movement perception and computer system
  • Seamless service migration method based on user movement perception and computer system
  • Seamless service migration method based on user movement perception and computer system

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Embodiment Construction

[0038] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in many different ways defined and covered by the claims.

[0039] The seamless service migration method based on user mobility perception in the present invention is a user mobility perception service migration solution based on the small cell edge computing system architecture. Applied to a small cell edge computing system, it consists of APs and It is composed of several edge nodes, and users frequently roam and change locations in the system. The operating mode of the system is the discrete time slot mode, and a large time interval is divided into time slots of the same size. In each time slot, we consider that the location of the user and the situation of the network will not change. Thus, the AP set, edge node set, and time slot in the system The set of users in can be expressed as , , . ...

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Abstract

The invention discloses a seamless service migration method based on user movement perception and a computer system, which are applied to a small cell edge computing system, and the method comprises the following steps: modeling a small cell edge computing system scene, and defining a multi-user service migration problem and an optimization target; cleaning data, and analyzing user movement characteristics; solving an optimal service placement decision according to user movement characteristics: dividing the users into two types according to association information between the users and the APs: if the users move to the preferred APs, considering service migration for the users, and adopting a migration strategy of reinforcement learning to make migration decisions for the users in real time; and if the user moves to the non-preferred AP, service migration does not need to be considered for the user, and the task corresponding to the service request of the user is still placed on the original edge node. According to the method, the influence of the service scheduling decision at the current moment on future system performance is considered, unnecessary migration in the system is reduced, the complexity of multi-user service migration is reduced, and a service migration optimization strategy with the aim of minimizing the long-term average delay of the system is provided.

Description

technical field [0001] The present invention relates to the technical field of wireless local area network and edge computing, and in particular to a seamless service migration method and computer system based on user mobility perception in a small cell edge computing system. Background technique [0002] With the rapid development of IoT devices, Mobile Edge Computing (MEC) has become a promising technical solution for emerging latency-sensitive applications such as autonomous driving, intelligent video acceleration, and VR virtual reality glasses demand. Specifically, edge computing sinks resources such as storage and computing to the edge of the network, thereby shortening the network communication distance between the server and users, and providing users with low-latency, high-quality service experience. In addition, edge computing is also conducive to data security and privacy protection. [0003] However, due to the mobility of users in the environment, seamless ser...

Claims

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Application Information

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IPC IPC(8): H04W24/02G06N20/00H04W28/16H04W28/22
CPCH04W24/02G06N20/00H04W28/22H04W28/16
Inventor 吕丰苗园吴帆任炬张尧学
Owner CENT SOUTH UNIV
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