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User business queuing optimization method based on edge computing

A technology of edge computing and optimization method, applied in the field of mobile communication, can solve problems such as inability to process data efficiently, and achieve the effect of improving QoS and reducing delay

Active Publication Date: 2018-09-07
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

In the era of big data processing centered on the cloud computing model, its key technologies can no longer efficiently process data generated by network edge devices, and mobile networks are facing unprecedented challenges

Method used

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  • User business queuing optimization method based on edge computing
  • User business queuing optimization method based on edge computing
  • User business queuing optimization method based on edge computing

Examples

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Embodiment 1

[0053] This embodiment provides a user service queuing optimization method based on edge computing, such as Figure 4 As shown, the method includes the following steps:

[0054] The first step, business classification:

[0055] Use the packet classifier to classify the different services generated by users according to the user identification number and quality of service (QoS) requirements, and then put the classified services into the corresponding sub-cache management module.

[0056] Assuming a user with a sub-cache management module, the operator can dynamically control its cache size, the cache size is h j , the cache needs the jth level service, then the bandwidth required by the jth level service is c j R b ,Such as figure 1 shown.

[0057] Assuming that the total scheduling capacity of an edge computing node is bandwidth C, and there are m sub-cache management modules of the user, when the m sub-cache management modules are served by the same edge computing node,...

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Abstract

The invention relates to a user business queuing optimization method based on edge computing. The method comprises the following steps: firstly, classifying different kinds of business generated by auser according to a user identification number and quality of service requirements by using a packet classifier, and then placing the classified business in corresponding sub-cache management modules;secondly, establishing a batch arrival model, performing probability estimation on business arrival by using the batch arrival model; thirdly, obtaining service parameters of an edge computing node according to the batch arrival model, and then selecting an edge node according to the service parameters of the edge computing node; and finally setting the time threshold as T, and controlling the opening and closing of the edge computing node according to the time threshold T so as to save energy. Due to the large number of edge devices in the 5G environment and the large number of eruptive business volumes, according to the user business queuing optimization method provided by the invention, it is of great help to selecting the edge computing node for the business according to needs by using the batch arrival model in the queuing theory, and the quality of service of the business can be greatly improved.

Description

technical field [0001] The present invention relates to a multi-scale spectrum access scheme based on service requirements, in particular to an edge computing-based user service queuing optimization method, which belongs to the technical field of mobile communication. Background technique [0002] In recent years, with the rapid development of mobile devices, the number of users has also increased sharply. With the rapid development of the Internet of Things and the birth of Internet 5G technology, society has entered the era of the Internet of Everything. The rapid increase in the number of network edge devices has made such devices The resulting data has reached the zettabyte level. In the era of big data processing centered on the cloud computing model, its key technologies can no longer efficiently process data generated by network edge devices, and mobile networks are facing unprecedented challenges. In response to the above problems, the edge computing model emerged a...

Claims

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Application Information

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IPC IPC(8): H04W28/02H04W52/02H04L12/861
CPCH04L49/90H04W28/02H04W52/0203Y02D30/70
Inventor 张晖孙叶钧
Owner NANJING UNIV OF POSTS & TELECOMM
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