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Cost optimized dynamic resource allocation in a cloud infrastructure

机译:云基础架构中的成本优化动态资源分配

摘要

A method that involves receiving budget information of a containerized application deployed with a set of containers to a set of machine instances; receiving pricing information of a list of machine instance types; receiving performance information of the set of containers; receiving an alert generated based on the performance information by comparing the performance information to a set of thresholds; generating, after receiving the alert, an output vector from a machine learning model, wherein the machine learning model uses the performance information; and adjusting a resource of the set of containers by updating a parameter based on the output vector in response to the alert, wherein the resource is controlled by the parameter, and wherein the parameter is identified in the alert.
机译:一种方法,涉及通过一组机器实例接收部署的容器化应用程序的预算信息;接收机器实例类型列表的定价信息;接收集装箱集的性能信息;通过将性能信息与一组阈值进行比较来接收基于性能信息生成的警报;在接收到警报之后,从机器学习模型中产生输出向量,其中机器学习模型使用性能信息;通过基于警报更新基于输出矢量的基于输出矢量来调整该集装箱集的资源,其中资源由参数控制,并且其中该参数在警报中识别。

著录项

  • 公开/公告号US10977083B2

    专利类型

  • 公开/公告日2021-04-13

    原文格式PDF

  • 申请/专利权人 RAVI HARI;

    申请/专利号US201816117722

  • 发明设计人 RAVI HARI;

    申请日2018-08-30

  • 分类号G06F9/455;G06F9/50;G06Q30/02;G06N3/08;G06N20;

  • 国家 US

  • 入库时间 2022-08-24 18:11:01

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