Edge network switching method based on dynamic mobile device behavior prediction

A mobile device and behavior technology, applied in multi-program device, resource allocation, program control design, etc., can solve problems such as short-term interruption of service, and achieve the effect of convenient and arbitrary shuttle, low response time, and reduced response time.

Active Publication Date: 2021-08-24
杭州雅观科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this solution only eliminates the communication delay, and cannot solve the problem of short service interruption faced by dynamic mobile devices when switching networks.

Method used

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  • Edge network switching method based on dynamic mobile device behavior prediction
  • Edge network switching method based on dynamic mobile device behavior prediction
  • Edge network switching method based on dynamic mobile device behavior prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0147] Embodiment: When the mobile device switches the connection of the wireless base station, it means that the mobile device has moved, and the edge computing server obtains the name and URL (IP address and MAC address) of the wireless base station before and after conversion by analyzing the uploaded information collection list. ) and port (Port). Record the historically connected wireless base stations with digital serial numbers as identifications.

[0148] Table 3 is a statistical table of wireless base stations connected to a certain mobile device in history.

[0149]

[0150] The mobile device moves from the wireless base station with the MAC address 00:1B:44:11:3A:B7 to the wireless base station with the MAC address 01:00:5e:57:91:e6, and then to the wireless base station with the MAC address 01:80: c2:00:00:01, the historical moving path of the mobile device is recorded as 1:2:3. The observed state sequence in the mobile prediction model thus represents the ide...

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Abstract

An edge network switching method based on dynamic mobile device behavior prediction belongs to the technical field of flow control, and comprises the following steps: S1, establishing an edge node architecture; S2, establishing a service handshake linkage mechanism of a first layer; executing the step 3 and the step 4 at the same time; S3, if the number of the mobile devices served by the edge computing server is overloaded, adjusting the deployment of the mobile devices; S4, establishing and updating a mobile prediction model: adopting a hidden Markov model and redefining parameters; S5, enabling the edge computing server to judge whether the mobile device moves or not; S6, enabling the edge computing server to enable the mobile device and the target edge computing server to establish service handover; and enabling the edge computing server to trigger a second service handshake linkage mechanism. According to the scheme, the hidden Markov model is adopted to predict the network switching trend of the mobile device, so that an edge computing server for preparing service in advance is reduced.

Description

technical field [0001] The invention belongs to the technical field of traffic control, and in particular relates to an edge network transfer method based on behavior prediction of a dynamic mobile device. Background technique [0002] With the development of the Internet of Things, mobile devices such as mobile phones and tablets have become important productivity tools. However, due to the limited resources of the mobile device, it cannot meet the requirements of intensive computation, sensitivity to delay, and bandwidth. Therefore, a method of Mobile Cloud Computing (MCC) is proposed, which transfers tasks that require more computing resources to the cloud data center for processing. However, the long-distance transmission between mobile devices and cloud data centers will cause high latency, jitter, and network congestion, which is not good for the core network. [0003] In recent years, mobile edge computing (MEC) has been proposed. Mobile edge computing adopts a thr...

Claims

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Application Information

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IPC IPC(8): H04L29/08G06F9/50
CPCH04L67/10G06F9/5083G06F9/5088H04L67/54
Inventor 王贺高健伦顾志诚
Owner 杭州雅观科技有限公司
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