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A response time optimization method for fair deployment of centralized services after decoupling

A technology of response time and optimization method, applied in the field of clustering and multi-objective optimization, can solve the problems of ignoring the fairness of the edge server working time, the edge server load response time is long, and the network bandwidth resources are occupied, so as to reduce the service communication cost. , The overall response time is short, the effect of reducing occupancy

Active Publication Date: 2022-07-29
EAST CHINA NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The service deployment strategy of the prior art considers the deployment edge server location, deployment cost, etc., but ignores the fairness of the working time between the edge servers, which makes the overall response time of the edge server load longer, wastes or occupies a large amount of network bandwidth resources , the service communication cost is high

Method used

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  • A response time optimization method for fair deployment of centralized services after decoupling
  • A response time optimization method for fair deployment of centralized services after decoupling
  • A response time optimization method for fair deployment of centralized services after decoupling

Examples

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Embodiment 1

[0255] (1) Experimental setup

[0256] 1-1 Coupling Model

[0257] In order to verify the coupling degree model proposed by the present invention, the data set provided by CFETS Information Technology (Shanghai) Co., Ltd. is used. The dataset contains 20 system subscriptions for field data in each service. From this dataset, 15 service-based system subscription states are sorted out. The system is then treated as an edge server and the coupling calculation is performed for 15 services. After the coupling degree value is obtained, it is sorted from high to low, and the high coupling threshold is selected by the quartile method, that is, the top 25%, 50% and 75% of the services are regarded as high-coupling services. in,

[0258] 1-2 High-coupling service decoupling model

[0259] In order to verify the effectiveness of the proposed two-stage decoupling method for highly coupled services, the offline method and the online method are compared and analyzed and two datasets ...

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Abstract

The invention discloses a response time optimization method for fair deployment after decoupling of centralized services. The degree service is deployed on the edge server and performs multi-objective optimization, so that the overall response time is the shortest under the condition of ensuring the fairness of the load of the edge server. Compared with the prior art, the invention has the shortest overall response time under the condition of ensuring the fairness of the edge server load, effectively improves the expected response time of the whole system, greatly reduces the occupation of network bandwidth resources, and reduces the service communication cost by about 40% , the method is simple, the use is convenient, and the efficiency is high.

Description

technical field [0001] The invention relates to the technical field of clustering and multi-objective optimization, in particular to a response time optimization method for fair deployment after decoupling of centralized services in edge computing. Background technique [0002] At present, the influence and complexity of centralized services in the cloud are high, and the development efficiency is low, making it difficult to meet the development of software applications. With the emergence of small and medium-sized cloud and server clusters at the network edge, it is supported to deploy services on edge servers, which can reduce system response time and save network bandwidth. Compared to traditional Content Delivery Networks (CDNs), which address latency and bandwidth issues by deploying caches close to requests, deploying to edge servers can better protect an enterprise's sensitive or business-critical data , because the CDN grid is generally located in the data center of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/455G06F8/60G06F9/445G06F9/48G06F9/50G06K9/62
CPCG06F9/45558G06F8/60G06F9/44594G06F9/485G06F9/505G06F9/5083G06F2009/45595G06F18/23213
Inventor 魏同权段媛张润泽
Owner EAST CHINA NORMAL UNIV
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