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    • 4. 发明申请
    • Method, system and computer program product for server selection, application placement and consolidation
    • 方法,系统和计算机程序产品,用于服务器选择,应用程序放置和整合
    • US20100005173A1
    • 2010-01-07
    • US12217439
    • 2008-07-03
    • Ramesh BaskaranSameep MehtaAnindya NeogiVinayaka D. PanditGyana Ranjan ParijaAkshat Verma
    • Ramesh BaskaranSameep MehtaAnindya NeogiVinayaka D. PanditGyana Ranjan ParijaAkshat Verma
    • G06F15/16
    • G06F9/5066
    • A plurality of application profiles are obtained, for a plurality of applications. Each of the profiles specifies a list of resources, and requirements for each of the resources, associated with a corresponding one of the applications. Specification of a plurality of constraints associated with the applications is facilitated, as is obtaining a plurality of cost models associated with at least two different kinds of servers on which the applications are to run. A recommended server configuration is generated for running the applications, by formulating and solving a bin packing problem. Each of the at least two different kinds of servers is treated as a bin of a different size, based on its capacity, and has an acquisition cost associated therewith. The size is substantially equal to a corresponding one of the resource requirement as given by a corresponding one of the application profiles. Each of the applications is treated as an item, with an associated size, to be packed into the bins. The bin packing problem develops the recommended server configuration based on reducing a total acquisition cost while satisfying the constraints and the sizes of the applications.
    • 获得多个应用简档,用于多个应用。 每个配置文件指定与相应应用程序相关联的资源列表和每个资源的要求。 促进与应用相关联的多个约束的规范,以及获得与要在其上运行应用的至少两种不同类型的服务器相关联的多个成本模型。 生成用于运行应用程序的推荐的服务器配置,通过制定和解决垃圾箱打包问题。 至少两种不同类型的服务器中的每一种基于其容量被视为不同尺寸的箱,并且具有与其相关联的购置成本。 该大小基本上等于由相应的一个应用简档给出的资源需求中相应的一个。 每个应用程序都被视为具有相关尺寸的项目,以将其打包到箱中。 垃圾箱打包问题在满足约束和应用程序的大小的基础上,降低了总采购成本,从而开发了推荐的服务器配置。
    • 7. 发明授权
    • Automatically identifying critical resources of an organization
    • 自动识别组织的关键资源
    • US08843936B2
    • 2014-09-23
    • US13483492
    • 2012-05-30
    • Sreyash D. KenkreSameep MehtaKrishnasuri NarayanamVinayaka D. Pandit
    • Sreyash D. KenkreSameep MehtaKrishnasuri NarayanamVinayaka D. Pandit
    • G06F9/46G06Q10/00
    • G06Q10/087G06Q10/06313
    • A method and associated systems for automatically identifying critical resources in an organization. An organization creates a model of the dependencies between pairs of resource instances, wherein that model describes how the organization's projects and services are affected when a resource instance becomes unavailable. This model may be represented as a system of directed graphs. This model may be used to automatically identify a resource instance as “critical” when excessive cost is required to resume all projects and services rendered infeasible by the disruption of that resource instance. This model may also be used to automatically identify a resource instance as “critical for a resource type” when disruption of the resource instance forces the capacity of the resource type available to the entire organization to fall below a threshold value.
    • 用于自动识别组织中关键资源的方法和相关系统。 组织创建资源实例对之间的依赖关系的模型,其中该模型描述了当资源实例变得不可用时组织的项目和服务如何受到影响。 该模型可以表示为有向图的系统。 当需要过多的成本来恢复由于该资源实例中断而导致的不可行的所有项目和服务时,该模型可用于将资源实例自动识别为“关键”。 当中断资源实例时,该模型也可用于将资源实例自动标识为“对资源类型至关重要”,从而强制整个组织可用的资源类型的容量低于阈值。
    • 8. 发明申请
    • AUTOMATICALLY IDENTIFYING CRITICAL RESOURCES OF AN ORGANIZATION
    • 自动识别组织的关键资源
    • US20130326531A1
    • 2013-12-05
    • US13483492
    • 2012-05-30
    • Sreyash D. KenkreSameep MehtaKrishnasuri NarayanamVinayaka D. Pandit
    • Sreyash D. KenkreSameep MehtaKrishnasuri NarayanamVinayaka D. Pandit
    • G06F9/46
    • G06Q10/087G06Q10/06313
    • A method and associated systems for automatically identifying critical resources in an organization. An organization creates a model of the dependencies between pairs of resource instances, wherein that model describes how the organization's projects and services are affected when a resource instance becomes unavailable. This model may be represented as a system of directed graphs. This model may be used to automatically identify a resource instance as “critical” when excessive cost is required to resume all projects and services rendered infeasible by the disruption of that resource instance. This model may also be used to automatically identify a resource instance as “critical for a resource type” when disruption of the resource instance forces the capacity of the resource type available to the entire organization to fall below a threshold value.
    • 用于自动识别组织中关键资源的方法和相关系统。 组织创建资源实例对之间的依赖关系的模型,其中该模型描述了当资源实例变得不可用时组织的项目和服务如何受到影响。 该模型可以表示为有向图的系统。 当需要过多的成本来恢复由于该资源实例中断而导致的不可行的所有项目和服务时,该模型可用于将资源实例自动识别为“关键”。 当中断资源实例时,该模型也可用于将资源实例自动标识为“对资源类型至关重要”,从而强制整个组织可用的资源类型的容量低于阈值。
    • 9. 发明授权
    • Method, system and computer program product for server selection, application placement and consolidation planning of information technology systems
    • 方法,系统和计算机程序产品,用于信息技术系统的服务器选择,应用程序布局和整合规划
    • US08244873B2
    • 2012-08-14
    • US13041939
    • 2011-03-07
    • Ramesh BaskaranSameep MehtaAnindya NeogiVinayaka D. PanditGyana Ranjan ParijaAkshat Verma
    • Ramesh BaskaranSameep MehtaAnindya NeogiVinayaka D. PanditGyana Ranjan ParijaAkshat Verma
    • G06F15/16
    • G06F9/5066
    • A plurality of application profiles are obtained, for a plurality of applications. Each of the profiles specifies a list of resources, and requirements for each of the resources, associated with a corresponding one of the applications. Specification of a plurality of constraints associated with the applications is facilitated, as is obtaining a plurality of cost models associated with at least two different kinds of servers on which the applications are to run. A recommended server configuration is generated for running the applications, by formulating and solving a bin packing problem. Each of the at least two different kinds of servers is treated as a bin of a different size, based on its capacity, and has an acquisition cost associated therewith. The size is substantially equal to a corresponding one of the resource requirement as given by a corresponding one of the application profiles. Each of the applications is treated as an item, with an associated size, to be packed into the bins. The bin packing problem develops the recommended server configuration based on reducing a total acquisition cost while satisfying the constraints and the sizes of the applications.
    • 获得多个应用简档,用于多个应用。 每个配置文件指定与相应应用程序相关联的资源列表和每个资源的要求。 促进与应用相关联的多个约束的规范,以及获得与要在其上运行应用的至少两种不同类型的服务器相关联的多个成本模型。 生成用于运行应用程序的推荐的服务器配置,通过制定和解决垃圾箱打包问题。 至少两种不同类型的服务器中的每一种基于其容量被视为不同尺寸的箱,并且具有与其相关联的购置成本。 该大小基本上等于由相应的一个应用简档给出的资源需求中相应的一个。 每个应用程序都被视为具有相关尺寸的项目,以将其打包到箱中。 垃圾箱打包问题在满足约束和应用程序的大小的基础上,降低了总采购成本,从而开发了推荐的服务器配置。
    • 10. 发明申请
    • Method, System and Computer Program Product for Server Selection, Application Placement and Consolidation Planning of Information Technology Systems
    • 信息技术系统服务器选择,应用放置和整合规划的方法,系统和计算机程序产品
    • US20110161470A1
    • 2011-06-30
    • US13041939
    • 2011-03-07
    • Ramesh BaskaranSameep MehtaAnindya NeogiVinayaka D. PanditGyana Ranjan ParijaAkshat Verma
    • Ramesh BaskaranSameep MehtaAnindya NeogiVinayaka D. PanditGyana Ranjan ParijaAkshat Verma
    • G06F15/177
    • G06F9/5066
    • A plurality of application profiles are obtained, for a plurality of applications. Each of the profiles specifies a list of resources, and requirements for each of the resources, associated with a corresponding one of the applications. Specification of a plurality of constraints associated with the applications is facilitated, as is obtaining a plurality of cost models associated with at least two different kinds of servers on which the applications are to run. A recommended server configuration is generated for running the applications, by formulating and solving a bin packing problem. Each of the at least two different kinds of servers is treated as a bin of a different size, based on its capacity, and has an acquisition cost associated therewith. The size is substantially equal to a corresponding one of the resource requirement as given by a corresponding one of the application profiles. Each of the applications is treated as an item, with an associated size, to be packed into the bins. The bin packing problem develops the recommended server configuration based on reducing a total acquisition cost while satisfying the constraints and the sizes of the applications.
    • 获得多个应用简档,用于多个应用。 每个配置文件指定与相应应用程序相关联的资源列表和每个资源的要求。 促进与应用相关联的多个约束的规范,以及获得与要在其上运行应用的至少两种不同类型的服务器相关联的多个成本模型。 生成用于运行应用程序的推荐的服务器配置,通过制定和解决垃圾箱打包问题。 至少两种不同类型的服务器中的每一种基于其容量被视为不同尺寸的箱,并且具有与其相关联的购置成本。 该大小基本上等于由相应的一个应用简档给出的资源需求中相应的一个。 每个应用程序都被视为具有相关尺寸的项目,以将其打包到箱中。 垃圾箱打包问题在满足约束和应用程序的大小的基础上,降低了总采购成本,从而开发了推荐的服务器配置。