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A cloud data center resource scheduling and sharing method and system based on cloud maturity

A cloud data center and resource scheduling technology, applied in the direction of digital transmission system, transmission system, data exchange network, etc., can solve the lack of quantitative evaluation system and digital evaluation system, ignore multi-dimensional resource consumption, unable to judge resource scheduling and sharing optimization strategy and goals

Active Publication Date: 2021-08-20
SHANGHAI DRAGONNET TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing operation and maintenance management process of the data center lacks a quantitative evaluation system and a digital evaluation system, and cannot judge the optimization strategy and goal of resource scheduling and sharing
In addition, most of the existing resource scheduling algorithms are optimized from a single dimension, ignoring the consumption of multi-dimensional resources

Method used

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  • A cloud data center resource scheduling and sharing method and system based on cloud maturity
  • A cloud data center resource scheduling and sharing method and system based on cloud maturity
  • A cloud data center resource scheduling and sharing method and system based on cloud maturity

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Experimental program
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Embodiment

[0048] This embodiment is designed as image 3 The cloud maturity assessment model shown in Table 1 and Table 2 shows the evaluation system and evaluation observation points. The scoring criteria for this model are as follows:

[0049] 1. The evaluation indicators include 33 observation points in four categories

[0050] 2. Two evaluation grades are determined for each evaluation indicator, and are scored according to the evaluation scores. The total evaluation is

[0051] The sum of the 34 observation point scores

[0052] 3. Divide cloud data center maturity into five levels:

[0053]The data center level with a total score of 90 or more, the process level with a score of 90-80, the cluster level with a score of 80-70, the virtual machine level with a score of 70-60, and the island level with a score below 60

[0054] Table 1

[0055]

[0056] Table 2

[0057]

[0058] The specific process of analyzing the resource scheduling and sharing of the cloud data center ...

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Abstract

The present invention relates to a cloud data center resource scheduling and sharing method and system based on cloud maturity. The method includes the following steps: S1, collecting resource information of the cloud data center; S2, filtering and integrating the collected resource information , to generate analysis basic information; S3, according to the pre-established cloud maturity assessment model, obtain the cloud maturity assessment result of the cloud data center to be evaluated based on the analysis basic information; S4, obtain the cloud maturity assessment result according to the cloud maturity assessment result To evaluate the resource scheduling optimization strategy and optimization objectives of the cloud data center, optimize the cloud data center. Compared with the prior art, the present invention has the advantages of optimizing the overall resource allocation of the cloud platform, reducing the total energy consumption of the cloud data center, and improving the overall resource utilization and service level.

Description

technical field [0001] The present invention relates to the technical field of resource scheduling and sharing of cloud computing data centers, in particular to a cloud data center resource scheduling and sharing method and system based on cloud maturity. Background technique [0002] With the surge of Internet and mobile Internet users in all walks of life and the diversification of usage scenarios, the amount of concurrent data in the background of the data center has also risen sharply. The various service resources provided by the data center are limited, and the processing capacity of massive data and services has become a difficult problem for the development of data center management. The ability to dynamically allocate and share cloud resources has become a new indicator for cloud data center construction. The management of the data center mainly revolves around the scheduling and sharing of data resources. The existing data center operation and maintenance managem...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/917H04L12/911H04L29/08H04L47/76
CPCH04L47/70H04L47/76H04L67/10
Inventor 汪羽婷游录金叶磊欧英俊
Owner SHANGHAI DRAGONNET TECH
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