Resource allocation method and device, computer program product and electronic equipment

By acquiring project information, determining the weights of evaluation indicators and the fuzzy relation matrix, and formulating cloud resource allocation strategies, the problem of unreasonable resource scheduling in information system operation and maintenance projects was solved, enabling refined evaluation and risk response, and improving the accuracy of project decision-making and the efficiency of resource allocation.

CN121901066APending Publication Date: 2026-04-21CHINA TELECOM CORP LTD
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Patent Information

Application Number
CN202511748364.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-25
Publication Date
2026-04-21

AI Technical Summary

Technical Problem

In existing information system operation and maintenance projects, resource scheduling fails to take into account dynamic factors such as project risks, changes in technical requirements, and personnel skill matching, resulting in unreasonable resource allocation and untimely risk response, which increases project costs and implementation difficulty.

Method used

By acquiring project information, determining the weights and fuzzy relationship matrix of multiple evaluation indicators, constructing a feasibility level, and formulating cloud resource allocation strategies based on the feasibility level, we can achieve intelligent adjustment of resource allocation.

Benefits of technology

It enables multi-dimensional and refined assessment of project feasibility, improves decision-making accuracy, reduces implementation risks, optimizes resource allocation, and enhances project operational efficiency and cost-effectiveness.

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Abstract

The invention discloses a resource allocation method and device, a computer program product and electronic equipment. The method comprises the following steps: acquiring project information of a target project; multiple evaluation indexes of the target project are determined according to the project information, index weights of the evaluation indexes are determined based on an index judgment matrix, and matrix elements of the index judgment matrix are used for reflecting the importance proportion between every two evaluation indexes; the feasibility level of the target project is determined based on a fuzzy relation matrix and the index weight of each evaluation index, and matrix elements of the fuzzy relation matrix are used for representing the membership degree of each evaluation index to comments of different levels; and determining a cloud resource allocation strategy of the target project according to the project information and the feasibility level, and allocating corresponding cloud resources to the target project according to the cloud resource allocation strategy. The technical problems of unreasonable resource allocation and untimely risk response existing in a cloud resource scheduling strategy for formulating a project based on static information are solved.
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