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Response time optimization method for fair deployment after centralized service 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: 2021-06-11
EAST CHINA NORMAL UNIVERSITY
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  • Description
  • Claims
  • Application Information

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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

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  • Response time optimization method for fair deployment after centralized service decoupling
  • Response time optimization method for fair deployment after centralized service decoupling
  • Response time optimization method for fair deployment after centralized service decoupling

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Embodiment 1

[0255] (1) Experimental setup

[0256] 1-1 Coupling degree 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 to field data in each service. From this dataset, 15 service-based system subscription states are sorted out. Then treat the system as an edge server and perform coupling degree calculations for 15 services. After the coupling value is obtained, it is sorted from high to low, and the high coupling threshold is selected through the quartile method, that is, the top 25%, 50% and 75% services are considered high coupling services. in,

[0258] 1-2 Highly coupled service decoupling model

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

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Abstract

The invention discloses a response time optimization method for fair deployment after centralized service decoupling, which is characterized in that sub-services are deployed by adopting a service decoupling method and based on an MOEA / D algorithm, the decoupled sub-services and low-coupling-degree services are deployed on an edge server, and multi-objective optimization is carried out. And the overall response time is shortest under the condition of ensuring the load fairness of the edge server. Compared with the prior art, the method has the advantages that the overall response time is shortest under the condition that the load fairness of the edge server is guaranteed, the expected response time of the whole system is effectively prolonged, the occupation of network bandwidth resources is greatly reduced, the service communication cost is reduced by about 40%, and the method is simple, convenient to use and high in efficiency.

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 centralized service decoupling in edge computing. Background technique [0002] At present, the influence and complexity between centralized services in the cloud are high, and the development efficiency is low, which is difficult to meet the development of software applications. With the emergence of small-scale clouds and server clusters at the edge of the network, services are supported to be deployed on edge servers, which can reduce system response time and save network bandwidth. Compared with the traditional content delivery network (Content Delivery Network, CDN) which solves the delay and bandwidth problems by deploying the cache close to the request, deploying to the edge server, the enterprise's sensitive data or business-critical data can be better protected , because th...

Claims

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Application Information

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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 UNIVERSITY
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