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A Cache-Based Service Provisioning Optimization Method for Edge Computing

A technology for service supply and optimization methods, applied in transmission systems, electrical components, etc., can solve the problem of not providing a quantitative model of user experience, not considering the problem of limited component resources in edge computing systems, etc., to achieve an effective cache replacement solution.

Active Publication Date: 2019-10-18
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, existing methods do not provide quantitative models for user experience and do not consider the resource constraints of components in edge computing systems.

Method used

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  • A Cache-Based Service Provisioning Optimization Method for Edge Computing
  • A Cache-Based Service Provisioning Optimization Method for Edge Computing
  • A Cache-Based Service Provisioning Optimization Method for Edge Computing

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Embodiment Construction

[0034] In order to describe the present invention in more detail, the technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0035] The edge computing-oriented service supply optimization method based on caching strategy of the present invention includes the following steps:

[0036] (1) Establish a dynamic file for the edge server, collect the address of the edge server, available service resources, data transmission rate, and service provision range; at the same time collect the complete mobile service call sequence in the edge server, the content of which includes mobile device identification code and call Mobile service ID, request initiation time, and request completion time.

[0037] (2) Collect mobile service information and establish dynamic files for it; mobile service information includes service functions, input data, output data, resource usage, service quality, and service volu...

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Abstract

The invention discloses a cache-based service supply optimization method for edge computing. The method comprises the steps of 1 quantification and modeling on mobile user service usage experience; 2an edge server initialization cache service deployment method based on a service usage record; and 3 a service prediction scheme based on space-time factors and a dynamic edge server cache service adjusting method based on the service prediction scheme. According to the method, the distribution condition of service requests, the geographical relationship among edge servers and the sequential relationship of service calling are comprehensively considered on the basis that interaction information of users and the edge servers is considered, assistance is provided for a dynamic cache adjusting strategy applied when the edge servers operate by means of the information, and therefore a cache replacement scheme is more effective.

Description

Technical field [0001] The invention belongs to the technical field of edge computing services, and specifically relates to a cache-based service supply optimization method for edge computing. Background technique [0002] With the development of mobile device technology and the gradual enrichment of web services, more and more complex functions can be completed on mobile devices. According to the TalkData report, as of December 2016, China has nearly 1.37 billion smart devices in use. An average of 39 applications are installed per person. Mobile devices and mobile services have successfully penetrated into people's daily lives, redefined the way people interact with people and between people and machines; people can use these services anytime and anywhere to learn, entertain, socialize, and conduct business activities. However, the resource-constrained nature of mobile devices and the instability of network channels have a great negative impact on the user experience. Low-perf...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08
Inventor 向正哲邓水光王东京李莹吴健尹建伟吴朝晖
Owner ZHEJIANG UNIV