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    • 4. 发明授权
    • Prioritizing tasks from virtual machines
    • 从虚拟机优先处理任务
    • US08424007B1
    • 2013-04-16
    • US12242685
    • 2008-09-30
    • Brian HernackiSourabh SatishWilliam E. Sobel
    • Brian HernackiSourabh SatishWilliam E. Sobel
    • G06F9/46
    • G06F9/4881G06F9/485G06F2209/503
    • A computer-implemented method for prioritizing virtual machine tasks may include receiving a request to perform a first task from a virtual machine. The request may include information relevant to determining a priority of the task. The method may include determining the priority of the task based on the information. The method may further include scheduling the first task based on the priority of the task. The method may include selecting the first task for execution based on the scheduling. The method may include notifying the virtual machine that the first task has been selected for execution. Various related methods, computer-readable media, and systems are also disclosed.
    • 用于对虚拟机任务进行优先级的计算机实现的方法可以包括从虚拟机接收执行第一任务的请求。 该请求可以包括与确定任务的优先级有关的信息。 该方法可以包括基于该信息确定任务的优先级。 该方法还可以包括基于任务的优先级调度第一任务。 该方法可以包括基于调度来选择用于执行的第一任务。 该方法可以包括通知虚拟机第一任务已经被选择用于执行。 还公开了各种相关方法,计算机可读介质和系统。
    • 5. 发明授权
    • Application streaming and network file system optimization via feature popularity
    • 应用流和网络文件系统优化通过功能普及
    • US07908391B1
    • 2011-03-15
    • US12055021
    • 2008-03-25
    • Sourabh SatishWilliam E. SobelBrian Hernacki
    • Sourabh SatishWilliam E. SobelBrian Hernacki
    • G06F15/16
    • G06F9/445
    • The performance of a remotely originated application is improved by determining the most popular application features, and proactively making the corresponding application content available to local computers on which the application runs. An application streaming or network file system transmits an application to a plurality of endpoints for execution. The server determines the relative popularity of the application features, and maps the features to corresponding application content. The server proactively pushes the application content corresponding to the most popular features to the endpoints. The popularity of application features is dynamically updated on a regular, ongoing basis. The proactive pushing of code pages is kept current with the updated popularity determinations.
    • 通过确定最流行的应用程序功能,并主动使相应的应用程序内容可用于运行应用程序的本地计算机,可以提高远程发起的应用程序的性能。 应用流或网络文件系统将应用发送到多个端点以供执行。 服务器确定应用程序功能的相对受欢迎程度,并将功能映射到相应的应用程序内容。 服务器主动将与最受欢迎的功能相对应的应用内容推送到端点。 应用功能的普及可以定期,持续地进行动态更新。 主动推送代码页面保持最新的流行度确定。
    • 6. 发明授权
    • Policy control of virtual environments
    • 虚拟环境的策略控制
    • US08214878B1
    • 2012-07-03
    • US12238356
    • 2008-09-25
    • Brian HernackiSourabh SatishWilliam E. Sobel
    • Brian HernackiSourabh SatishWilliam E. Sobel
    • H04L29/00
    • G06F9/45558G06F2009/4557
    • When copying a guest from a source virtual environment to a target virtual environment, policy control of the target environment is provided. A configuration specification is created based on the source virtual environment and the guest to be copied. The configuration specification contains specific policies and/or requirements of the guest. The guest and the configuration specification are copied to the target virtual environment. The target virtual environment is examined to determine whether it is compliant with the copied configuration specification. If so, the copied guest runs in the target virtual environment. If not, the target virtual environment can be modified to be in compliance with the configuration specification.
    • 将guest虚拟机从源虚拟环境复制到目标虚拟环境时,将提供目标环境的策略控制。 基于源虚拟环境和要复制的guest虚拟机创建配置规范。 配置规范包含客户的特定策略和/或要求。 guest虚拟机和配置规范被复制到目标虚拟环境中。 检查目标虚拟环境以确定其是否符合复制的配置规范。 如果是这样,复制的客户端将在目标虚拟环境中运行。 如果没有,则可以修改目标虚拟环境以符合配置规范。
    • 8. 发明授权
    • Profiling application usage from application streaming
    • 从应用程序流分析应用程序的使用情况
    • US08977764B1
    • 2015-03-10
    • US12039515
    • 2008-02-28
    • Zulfikar RamzanSourabh SatishBrian Hernacki
    • Zulfikar RamzanSourabh SatishBrian Hernacki
    • G06F15/16
    • G06F11/3466G06F9/44521G06F11/3409G06F2201/865
    • Application usage is profiled based on application streaming. Code pages of multiple applications are streamed from a server to multiple client computers (endpoints) for execution. The streaming of the code pages is monitored, and usage data is collected such as which pages are streamed to which endpoints, under what circumstances and when. By referencing the streamed code pages and the underlying source code, the code pages are mapped (at least approximately) to corresponding application features. The collected usage data usage and the relevant mapping are analyzed, to create application usage profile data for streamed applications. The application usage profile data can include such information as how often, when, where and by whom application components are being executed, as well as which components cause errors, are most popular, confuse users, etc.
    • 应用程序使用情况基于应用程序流式进行分析。 多个应用程序的代码页从服务器流式传输到多个客户端计算机(端点)以供执行。 监视代码页的流式传输,并收集使用数据,例如哪些页面被流式传输到哪个端点,在什么情况下和什么时候。 通过引用流传输的代码页和底层的源代码,代码页被映射(至少近似)到相应的应用程序特征。 分析收集的使用数据用法和相关映射,以创建流应用程序的应用程序使用情况数据。 应用程序使用情况数据可以包括诸如应用组件的执行频率,何时何地以及由哪个应用组件执行的信息以及哪些组件导致错误,最受欢迎的,混淆用户等的信息。