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    • 141. 发明授权
    • Black-box performance control for high-volume throughput-centric systems
    • 黑盒性能控制,用于大批量吞吐量为中心的系统
    • US08387059B2
    • 2013-02-26
    • US12166768
    • 2008-07-02
    • Rong N. ChangKlaus SonnenleiterChunqiang TangSunjit TaraChun Zhang
    • Rong N. ChangKlaus SonnenleiterChunqiang TangSunjit TaraChun Zhang
    • G06F9/45
    • G06F9/542G06F9/5083G06F11/3409G06F11/3419G06F11/3447G06F11/3452G06F11/3495G06F2201/86G06F2209/5018G06F2209/5022G06F2209/508G06F2209/544H04L43/0888
    • Throughput of a high-volume throughput-centric computer system is controlled by dynamically adjusting a concurrency level of a plurality of events being processed in a computer system to meet a predetermined target for utilization of one or more resources of a computer system. The predetermined target is less than 100% utilization of said one or more resources. The adjusted concurrency level is validated using one or more queuing models to check that said predetermined target is being met. Parameters are configured for adjusting the concurrency level. The parameters are configured so that said one or more resources are shared with one or more external programs. A statistical algorithm is established that minimizes total number of samples collected. The samples may be used to measure performance used to further dynamically adjust the concurrency level. A dynamic thread sleeping method is designed to handle systems that need only a very small number of threads to saturate bottleneck resources and hence are sensitive to concurrency level changes.
    • 通过动态地调整在计算机系统中正在处理的多个事件的并发级别以满足计算机系统的一个或多个资源的使用的预定目标来控制大容量以吞吐量为中心的计算机系统的吞吐量。 所述预定目标小于所述一个或多个资源的100%利用率。 使用一个或多个排队模型验证所调整的并发级别,以检查是否满足所述预定目标。 配置参数以调整并发级别。 参数被配置为使得所述一个或多个资源与一个或多个外部程序共享。 建立统计算法,使收集的样本总数最小化。 样本可用于测量用于进一步动态调整并发级别的性能。 动态线程休眠方法旨在处理只需要非常少量线程的系统,从而使瓶颈资源饱和,因此对并发级更改敏感。
    • 147. 发明申请
    • MEMORY MANAGEMENT MODEL AND INTERFACE FOR UNMODIFIED APPLICATIONS
    • 用于未经修改的应用程序的内存管理模型和界面
    • US20120324197A1
    • 2012-12-20
    • US13163745
    • 2011-06-20
    • Jeremiah C. SpradlinGalen HuntAnil F. ThomasSteven Maillet
    • Jeremiah C. SpradlinGalen HuntAnil F. ThomasSteven Maillet
    • G06F12/02
    • G06F9/5022G06F9/5016G06F11/30G06F11/302G06F11/3037G06F11/3409G06F11/3466G06F11/3604G06F11/3644G06F2209/5021G06F2209/508
    • A memory management system is described herein that receives information from applications describing how memory is being used and that allows an application host to exert more control over application requests for using memory. The system provides an application memory management application-programming interface (API) that allows the application to specify more information about memory allocations that is helpful for managing memory later. The system also provides an ability to statically and/or dynamically analyze legacy applications to give applications that are not modified to work with the system some ability to participate in more effective memory management. The system provides application host changes to leverage the information provided by applications and to manage memory more effectively using the information and hooks into the application's use of memory. Thus, the system provides a new model for managing memory that improves application host behavior and allows applications to use computing resources more efficiently.
    • 本文描述了从描述如何使用存储器的应用的信息接收信息,并允许应用主机对使用存储器的应用请求进行更多的控制。 该系统提供了一个应用程序内存管理应用程序编程接口(API),允许应用程序指定更多关于内存分配的信息,这有助于稍后管理内存。 该系统还提供静态和/或动态分析遗留应用程序的功能,使未被修改的应用程序能够与系统一起参与更有效的内存管理的能力。 系统提供应用程序主机更改以利用应用程序提供的信息,并更有效地使用信息管理内存并钩入应用程序对内存的使用。 因此,该系统提供了一种管理内存的新模型,可提高应用程序主机行为,并允许应用程序更有效地使用计算资源。