METHODS AND SYSTEMS FOR CALCULATING THE COST OF LOGICAL CAPACITY CONTAINERS
    22.
    发明申请
    METHODS AND SYSTEMS FOR CALCULATING THE COST OF LOGICAL CAPACITY CONTAINERS 审中-公开
    计算逻辑容量容器成本的方法和系统

    公开(公告)号:US20150268865A1

    公开(公告)日:2015-09-24

    申请号:US14267923

    申请日:2014-05-02

    Applicant: VMWARE, INC.

    Abstract: The disclosure presents methods and systems for determining cost allocation for logical containers run on a data-center infrastructure. In one aspect, for each resource allocated to one or more logical containers, a method calculates a resource allocation value for each of the one or more logical containers, the resource allocation value represents an amount of the resource allocated to the logical container. An allocated container cost is then calculated for each of the one or more logical containers based on the resource allocation value of each logical container. A cost of unused portions of the resource for each of the one or more logical containers is calculated based on the allocated container cost and the resource allocation value associated with each logical container. The resource allocation value, the allocated container cost, and the cost of unused portion of the resource are stored in one or more data-storage devices.

    Abstract translation: 本公开提供了用于确定在数据中心基础设施上运行的逻辑容器的成本分配的方法和系统。 在一个方面,对于分配给一个或多个逻辑容器的每个资源,一种方法为一个或多个逻辑容器中的每一个计算资源分配值,资源分配值表示分配给逻辑容器的资源量。 然后,基于每个逻辑容器的资源分配值,为一个或多个逻辑容器中的每一个计算分配的容器成本。 基于分配的容器成本和与每个逻辑容器相关联的资源分配值来计算一个或多个逻辑容器中的每一个的资源的未使用部分的成本。 资源分配值,分配的容器成本以及资源的未使用部分的成本被存储在一个或多个数据存储装置中。

    DYNAMIC UNIT RESOURCE USAGE PRICE CALIBRATOR FOR A VIRTUAL DATA CENTER
    23.
    发明申请
    DYNAMIC UNIT RESOURCE USAGE PRICE CALIBRATOR FOR A VIRTUAL DATA CENTER 有权
    动态单位资源用于虚拟数据中心的价格校准器

    公开(公告)号:US20150106245A1

    公开(公告)日:2015-04-16

    申请号:US14054863

    申请日:2013-10-16

    Applicant: VMWARE, INC.

    CPC classification number: G06Q30/0283 G06Q40/12

    Abstract: Techniques for performing dynamic cost per unit resource usage in a virtual data center are described. In one example embodiment, an initial unit resource usage price is received for the virtual data center for a first cycle. Further, capital expenditure (CAPEX) and operating expenditure (OPEX) information of the virtual data center of the first cycle is obtained. Furthermore, a target return on investment (ROI) for the virtual data center for a second cycle is received. A unit resource usage price is then computed for the second cycle using the received initial unit resource usage price for the first cycle and the CAPEX and OPEX information of the first cycle. The unit resource usage price is then dynamically calibrated for the second cycle using the computed unit resource usage price and the target ROI.

    Abstract translation: 描述用于在虚拟数据中心中执行每单位资源使用的动态成本的技术。 在一个示例实施例中,为第一周期的虚拟数据中心接收初始单位资源使用价格。 此外,获得了第一个周期的虚拟数据中心的资本支出(CAPEX)和运营支出(OPEX)信息。 此外,接收用于第二周期的虚拟数据中心的目标投资回报率(ROI)。 然后使用接收到的第一周期的初始单位资源使用价格和第一周期的CAPEX和OPEX信息来计算第二周期的单位资源使用价格。 然后,使用计算的单位资源使用价格和目标投资回报率,对第二周期动态校准单位资源使用价格。

    Methods and systems to optimize operating system license costs in a virtual data center

    公开(公告)号:US11182713B2

    公开(公告)日:2021-11-23

    申请号:US15603492

    申请日:2017-05-24

    Applicant: VMWARE, INC.

    Abstract: Methods and systems assist data center customer to plan virtual data center (“VDC”) configurations, create purchase recommendations to achieve either an expansion or contraction of a VDC, and optimize the data center cost. Methods generate recommendations on lower cost combinations of virtual machine (“VM”) guest OS licenses, server computer hardware and VM software to optimize the costs are generated, generate data center customer plans for additional VMs with Quest OS for a projected period of time, provide recommendations on lower cost combination of guest OS licenses, server hardware, and VM software to optimize the cost. Methods also report any underutilized licensed servers and provide recommendations for cost savings when volume licenses can be replaced by instance based software licenses. Methods may generate VM placement recommendations to data center customers while the customers attempt to manually migrate VMs to different server computers.

    METHODS AND SYSTEMS TO PREDICT PARAMETERS IN A DATABASE OF INFORMATION TECHNOLOGY EQUIPMENT

    公开(公告)号:US20200265111A1

    公开(公告)日:2020-08-20

    申请号:US16866664

    申请日:2020-05-05

    Applicant: VMware, Inc.

    Abstract: Methods and systems predict parameters in a dataset of an identified piece of (“information technology”) IT equipment. An automated method identifies datasets IT equipment in a same category of IT equipment as a piece of IT equipment identified as having incomplete dataset information. Each dataset of IT equipment parameters is used to construct generalized linear models of different classes of IT equipment within the category of IT equipment. The class of the identified IT equipment is determined. A predicted equipment parameter of incomplete information of the identified piece of IT equipment is computed using the generalized linear model associated with the class. The predicted equipment parameter can be used to complete the dataset of the identified piece of IT equipment.

    METHODS AND SYSTEMS TO OPTIMIZE SERVER UTILIZATION FOR A VIRTUAL DATA CENTER

    公开(公告)号:US20200226520A1

    公开(公告)日:2020-07-16

    申请号:US16837866

    申请日:2020-04-01

    Applicant: VMWARE. INC.

    Abstract: Methods and systems assist data center customer to plan virtual data center (“VDC”) configurations, create purchase recommendations to achieve either an expansion or contraction of a VDC, and optimize the data center cost. Methods generate recommendations on lower cost combinations of virtual machine (“VM”) guest OS licenses, server computer hardware and VM software to optimize the costs are generated, generate data center customer plans for additional VMs with Quest OS for a projected period of time, provide recommendations on lower cost combination of guest OS licenses, server hardware, and VM software to optimize the cost. Methods also report any underutilized licensed servers and provide recommendations for cost savings when volume licenses can be replaced by instance based software licenses. Methods may generate VM placement recommendations to data center customers while the customers attempt to manually migrate VMs to different server computers.

    Methods and systems to predict parameters in a database of information technology equipment

    公开(公告)号:US10678888B2

    公开(公告)日:2020-06-09

    申请号:US15898238

    申请日:2018-02-16

    Applicant: VMWARE, INC.

    Abstract: Methods and systems predict parameters in a dataset of an identified piece of (“information technology”) IT equipment. An automated method identifies datasets IT equipment in a same category of IT equipment as a piece of IT equipment identified as having incomplete dataset information. Each dataset of IT equipment parameters are used to construct generalized linear models of different classes of IT equipment within the category of IT equipment. The class of the identified IT equipment is determined. A predicted equipment parameter of incomplete information of the identified piece of IT equipment is computed using the generalized linear model associated with the class. The predicted equipment parameter can be used to complete the dataset of the identified piece of IT equipment.

    Virtual resource scheduling for containers without migration

    公开(公告)号:US10353739B2

    公开(公告)日:2019-07-16

    申请号:US14983544

    申请日:2015-12-30

    Applicant: VMWARE, INC.

    Abstract: A method for scheduling computing resources without container migration includes determining a resource availability for one or more hosts, a resource allocation for one or more virtual machines (VMs), and a resource usage for one or more containers. The method further includes calculating a target resource configuration for one or more VMs, wherein calculating a target resource configuration comprises determining an upper limit of resource demand on a VM from one or more containers allocated on the VM, based at least in part on the resource usage. The method also includes removing or adding resources to each of the one or more VMs for which a target resource configuration was calculated to achieve the target resource configuration for each VM. The method further includes allocating the one or more VMs on the one or more hosts based on the resource availability of the one or more hosts.

    Method and system that measures and reports computational-resource usage in a data center

    公开(公告)号:US09953276B2

    公开(公告)日:2018-04-24

    申请号:US14603373

    申请日:2015-01-23

    Applicant: VMWARE, INC.

    CPC classification number: G06Q10/04 G06F9/50 G06F2209/5014

    Abstract: The present disclosure describes methods and systems that monitor the utilization of computational resources. In one implementation, a system periodically measures the utilization of computational resources, determines an amount of computational-resource wastage, identifies the source of the wastage, and generates recommendations that reduce or eliminate the wastage. In some implementations, recommendations are generated based on a cost of the computational-resource wastage. The cost of computational-resource wastage can be determined from factors that include the cost of providing a computational resource, an amount of available computational resources, and the amount of actual computational-resource usage. Methods of presenting and modeling computational-resource usage and methods that associate an economic cost with resource wastage are presented.

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