公开(公告)号：US20110173467A1

公开(公告)日：2011-07-14

申请号：US12685841

申请日：2010-01-12

申请人： Kalyanaraman Vaidyanathan ,  Kenneth C. Gross ,  David Belanger ,  Ayse Kivilcim Coskun

发明人： Kalyanaraman Vaidyanathan ,  Kenneth C. Gross ,  David Belanger ,  Ayse Kivilcim Coskun

IPC分类号： G06F1/32 ,  G06F1/26

CPC分类号： G06F1/26 ,  G06F1/3203 ,  G06F1/324 ,  G06F1/3296 ,  H04L43/0876 ,  H05K7/1498 ,  Y02D10/126 ,  Y02D10/172

摘要： A system for controlling energy usage in a server having a processor, where the system includes a memory for storing energy cost information, and a controller for determining a transaction rate for the processor. The controller is also for determining a cumulative of energy expended by the server based on the determined transaction rate for each of a number of available power level states (P-states) for operation of the processor, and for selecting one of the available P-states for operation of the processor based on the determined cumulative energy expended and the stored energy cost information.

摘要翻译： 一种用于控制具有处理器的服务器中的能量使用的系统，其中所述系统包括用于存储能量成本信息的存储器，以及用于确定处理器的交易速率的控制器。 控制器还用于基于用于处理器的操作的多个可用功率电平状态（P状态）中的每个状态的确定的事务速率来确定由服务器消耗的能量的累积，并且用于选择可用P- 基于所确定的消耗的累积能量和存储的能量成本信息来处理处理器的状态。

公开(公告)号：US20070040582A1

公开(公告)日：2007-02-22

申请号：US11205924

申请日：2005-08-17

申请人： Kenny Gross ,  Kalyanaraman Vaidyanathan ,  Ramakrishna Dhanekula

发明人： Kenny Gross ,  Kalyanaraman Vaidyanathan ,  Ramakrishna Dhanekula

IPC分类号： H03K19/094 ,  B60L1/00 ,  G08C19/16

CPC分类号： G06F1/28 ,  G06F1/3209 ,  G06F11/3409 ,  G06F11/3452 ,  Y02D10/34

摘要： A system that facilitates estimating power consumption in a computer system by inferring the power consumption from instrumentation signals. During operation, the system monitors instrumentation signals within the computer system, wherein the instrumentation signals do not include corresponding current and voltage signals that can be used to directly compute power consumption. The system then estimates the power consumption for the computer system by inferring the power consumption from the instrumentation signals and from an inferential power model generated during a training phase.

摘要翻译： 通过推断仪表信号的功耗，有助于估算计算机系统的功耗。 在操作期间，系统监视计算机系统内的仪表信号，其中仪器信号不包括可用于直接计算功耗的相应的电流和电压信号。 系统然后通过推断来自仪器信号的功率消耗和在训练阶段产生的推理功率模型来估计计算机系统的功耗。

公开(公告)号：US08423718B2

公开(公告)日：2013-04-16

申请号：US13165482

申请日：2011-06-21

申请人： Timothy K. Tsai ,  Kalyanaraman Vaidyanathan ,  Kenny Clayton Gross

发明人： Timothy K. Tsai ,  Kalyanaraman Vaidyanathan ,  Kenny Clayton Gross

IPC分类号： G06F12/00

CPC分类号： G06F12/0253 ,  G06F11/0715 ,  G06F11/0751 ,  G06F11/0793

摘要： Leaked memory in a computer system is detected and recovered by first detecting memory leakage within the computer system based on nonlinear and non-parametric time-series regression analysis of software telemetry data generated by one or more software process running on the computer system. If existence of memory leakage is detected, then memory that has leaked is specifically identified and recovered. This is done by halting one or more of the software processes, generating a core image file or files of the halted software process(es), and re-starting the halted process or processes without waiting for analysis of the core image file(s). Then, the core image file is evaluated to specifically identify leaked memory in the computer system based on the core image file. Finally, the identified leaked memory is recovered.

摘要翻译： 基于在计算机系统上运行的一个或多个软件进程产生的软件遥测数据的非线性和非参数时间序列回归分析，首先检测计算机系统内的存储器泄漏来检测和恢复计算机系统中的泄漏存储器。 如果检测到内存泄漏的存在，则会特别识别和恢复已泄漏的内存。 这是通过停止一个或多个软件进程，生成核心映像文件或停止的软件进程的文件，以及重新启动暂停的进程或进程，而不必等待核心映像文件的分析， 。 然后，核心图像文件被评估为基于核心图像文件专门识别计算机系统中的泄漏存储器。 最后，识别的泄漏的内存被恢复。

公开(公告)号：US07991961B1

公开(公告)日：2011-08-02

申请号：US11872626

申请日：2007-10-15

申请人： Timothy K. Tsai ,  Kalyanaraman Vaidyanathan ,  Kenny Clayton Gross

发明人： Timothy K. Tsai ,  Kalyanaraman Vaidyanathan ,  Kenny Clayton Gross

IPC分类号： G06F12/00

CPC分类号： G06F12/0253 ,  G06F11/0715 ,  G06F11/0751 ,  G06F11/0793

摘要： Leaked memory in a computer system is detected and recovered by first detecting memory leakage within the computer system based on nonlinear and non-parametric time-series regression analysis of software telemetry data generated by one or more software process running on the computer system. If existence of memory leakage is detected, then memory that has leaked is specifically identified and recovered. This is done by halting one or more of the software processes, generating a core image file or files of the halted software process(es), and re-starting the halted process or processes without waiting for analysis of the core image file(s). Then, the core image file is evaluated to specifically identify leaked memory in the computer system based on the core image file. Finally, the identified leaked memory is recovered.

摘要翻译： 基于在计算机系统上运行的一个或多个软件进程产生的软件遥测数据的非线性和非参数时间序列回归分析，首先检测计算机系统内的存储器泄漏来检测和恢复计算机系统中的泄漏存储器。 如果检测到内存泄漏的存在，则会特别识别和恢复已泄漏的内存。 这是通过停止一个或多个软件进程，生成核心映像文件或停止的软件进程的文件，以及重新启动暂停的进程或进程，而不必等待核心映像文件的分析， 。 然后，核心图像文件被评估为基于核心图像文件专门识别计算机系统中的泄漏存储器。 最后，识别的泄漏的内存被恢复。

公开(公告)号：US06629266B1

公开(公告)日：2003-09-30

申请号：US09442001

申请日：1999-11-17

申请人： Richard Edwin Harper ,  Steven Wade Hunter ,  Thomas Dixon Pahel, Jr. ,  Kalyanaraman Vaidyanathan ,  William Paul Zeggert

发明人： Richard Edwin Harper ,  Steven Wade Hunter ,  Thomas Dixon Pahel, Jr. ,  Kalyanaraman Vaidyanathan ,  William Paul Zeggert

IPC分类号： G06F1134

CPC分类号： G06F11/1438

摘要： A method (and system) for increased software dependability, includes learning how to predict an outage of a software system running on a computer, and, based on the learning, predicting an imminent outage, and avoiding the outage.

摘要翻译： 增加软件可靠性的方法（和系统）包括学习如何预测在计算机上运行的软件系统的中断，并基于学习，预测即将发生的中断，并避免中断。