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    • 9. 发明申请
    • Dynamic virtual machine generation
    • 动态虚拟机生成
    • US20080163210A1
    • 2008-07-03
    • US11648251
    • 2006-12-29
    • Mic BowmanRob KnauerhasePaul BrettRobert Adams
    • Mic BowmanRob KnauerhasePaul BrettRobert Adams
    • G06F9/455
    • G06F9/5061G06F9/45558G06F9/4843G06F9/5077G06F2009/45562
    • Methods and apparatuses enable creation of a virtual machine (VM) clone initiated through application or service logic. The application requests generation of a VM clone from within the runtime execution of the application. The request is serviced by a VM generator, which identifies a state of the VM to clone and identifies hardware resources on which to create the VM clone. Based on a determination of what resources on which to generate the VM clone, the VM generator creates the VM clone on the determined resources, having the identified state. In one embodiment, a use case of resource copy or reference copy is selected for each resource. In one embodiment, the VM generator considers a number of factors in determining where to instantiate the VM clone. The parameters may include hints or preference parameters sent by the application and/or resource loading or performance.
    • 方法和装置能够创建通过应用程序或服务逻辑启动的虚拟机(VM)克隆。 应用程序请求在应用程序的运行时执行期间生成VM克隆。 该请求由VM生成器提供服务,VM生成器标识要克隆的VM的状态,并标识要在其上创建VM克隆的硬件资源。 基于确定生成VM克隆的资源,VM生成器在确定的资源上创建具有标识状态的VM克隆。 在一个实施例中,为每个资源选择资源复制或引用副本的用例。 在一个实施例中,VM生成器考虑确定何时实例化VM克隆的多个因素。 参数可以包括应用程序发送的提示或偏好参数和/或资源加载或性能。
    • 10. 发明授权
    • Interactive technique to automatically find and organize items similar to example items
    • 自动查找和组织类似于示例项目的项目的交互技术
    • US07028020B1
    • 2006-04-11
    • US09608612
    • 2000-06-30
    • Dhananjay V. KeskarDean J. SanvitaleMic BowmanRobert Adams
    • Dhananjay V. KeskarDean J. SanvitaleMic BowmanRobert Adams
    • G06F17/30
    • G06F17/30648Y10S707/99931Y10S707/99933
    • A technique for automatically finding and organizing items similar to example items includes providing related, not related, and suggestions group areas for one organization instance, each in these areas to contain items which may consist of documents. At least one example item for the one organization instance is provided by a user and placed in the related group area of the one organization instance. A database is searched using a relevance algorithm to try to locate at least one item which is related to the at least one item in the related group area based on a predetermined criterion and the located at least one item is placed in the suggestions group area of the one organization instance. The predetermined criterion is modified based on at least one of the user providing at least one additional example item and the user moving an item from one of the group areas to another of the group areas. The database is continually searched to locate and place additional items in the suggestions group area of the one organization instance which are related to the at least one item in the related group area based upon the modified predetermined criterion.
    • 用于自动查找和组织与示例项目类似的项目的技术包括为一个组织实例提供相关的,不相关的和建议组区域,每个区域中的每个区域包含可以由文档组成的项目。 一个组织实例的至少一个示例项目由用户提供并放置在一个组织实例的相关组区域中。 使用相关性算法搜索数据库以尝试基于预定标准来定位与相关组区域中的至少一个项目相关的至少一个项目,并且将所定位的至少一个项目放置在相关组区域的建议组区域中 一个组织实例。 基于提供至少一个附加示例项目的用户中的至少一个以及用户将组中的一个区域移动到组区域中的另一个的用户来修改预定标准。 基于修改的预定标准,不断地搜索数据库以定位并将一些组织实例的建议组区域中的附加项目与相关组区域中的至少一个项目相关联。