资源健康度监测、资源调度方法、设备及存储介质

By calculating the potential resource gaps and health status of users in cloud platform partitions, personalized resource health scores are provided, solving the problem that existing technologies cannot accurately reflect the elastic resources of a single user, and improving the success rate of elasticity and the accuracy of user resource planning.

CN116149952BActive Publication Date: 2026-07-17ALIBABA (CHINA) CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ALIBABA (CHINA) CO LTD
Filing Date
2023-03-01
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot accurately reflect the resource elasticity of individual users when monitoring the health of elastic resources on cloud platforms, resulting in a low elasticity success rate. Furthermore, traditional models have low user confidence, which can easily lead to unreasonable resource planning and affect the overall elasticity success rate.

Method used

By acquiring potential resource gaps and resource health of users in cloud platform partitions, and combining this with users' elastic demand and inventory data, we can calculate personalized resource health scores for each user, providing personalized health scores to guide users in planning their resources effectively.

Benefits of technology

It improves the accuracy of resource health monitoring and users' confidence in health score data, increases the success rate of resilience, and reduces the risks caused by unreasonable resource planning and data distortion.

✦ Generated by Eureka AI based on patent content.

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Abstract

本申请实施例提供一种资源健康度监测、资源调度方法、设备及存储介质。用户的潜在资源缺口,根据第一分区的弹性资源库存量和用户潜在的弹性需求缺口确定,因而可以准确地反映用户的潜在需求在第一分区中可被满足的程度。结合该用户的潜在资源缺口以及第一分区的分区资源健康度,可确定用户在第一分区上的用户资源健康度。该用户资源健康度,考虑了用户的潜在需求以及弹性资源库存量,能够更加精准地呈现出单用户级别的资源健康程度。此外,由于不同用户的弹性资源占有量、弹性资源需求不同,因此在相同的资源库存量下,不同用户在第一分区的用户资源健康度不同。进而,可面向用户提供千人千面的健康度评分数据。
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