首页> 外国专利> A METHOD FOR RECOMMENDING A VITUAL MACHINE SUITABLE FOR A PURPOSE OF USE AND A VIRTUAL MACHINE RECOMMENDATION SYSTEM IMPLEMENTING THE SAME

A METHOD FOR RECOMMENDING A VITUAL MACHINE SUITABLE FOR A PURPOSE OF USE AND A VIRTUAL MACHINE RECOMMENDATION SYSTEM IMPLEMENTING THE SAME

机译:用于推荐适用于使用目的的虚拟机的方法和实现该系统的虚拟机推荐系统

摘要

The virtual machine recommendation method according to an embodiment of the present invention is a method for recommending a created virtual machine that is a virtual machine to be created on a physical server by using a virtual machine recommendation system, wherein the virtual machine recommendation system A storage information receiving step of receiving, by the storage information collecting unit of the storage information, information related to a storage virtual machine that is a previously created virtual machine; a clustering step in which the storage virtual machine is divided into clusters by a predetermined classification method based on the storage information by the clustering unit of the virtual machine recommendation system; a cluster selection step in which a cluster satisfying a predetermined condition is selected by the cluster selection unit of the virtual machine recommendation system; and, by the recommendation information calculating unit of the virtual machine recommendation system, based on a predetermined calculation method based on information related to the storage virtual machine corresponding to a selected cluster that is a cluster in which the predetermined condition is satisfied, It may include;
机译:根据本发明实施例的虚拟机推荐方法是推荐通过使用虚拟机推荐系统在物理服务器上创建虚拟机的创建虚拟机的方法,其中虚拟机推荐系统存储通过存储信息的存储信息收集单元接收步骤,通过存储信息收集单元,与先前创建的虚拟机的存储虚拟机相关的信息;其中存储虚拟机的聚类步骤通过虚拟机推荐系统的聚类单元基于存储信息将存储虚拟机被划分为簇;群集选择步骤,其中由虚拟机推荐系统的簇选择单元选择满足预定条件的簇;并且,通过虚拟机推荐系统的推荐信息计算单元,基于基于与与所选群集对应的存储虚拟机相关的信息的预定计算方法,该群集是其中满足预定条件的集群,它可以包括;

著录项

  • 公开/公告号KR102351426B1

    专利类型

  • 公开/公告日2022-01-14

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020200078475

  • 申请日2020-06-26

  • 分类号G06F9/455;G06Q10/06;G06Q30/02;G06Q50/10;

  • 国家 KR

  • 入库时间 2022-08-24 23:27:35

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