公开(公告)号：US09411363B2

公开(公告)日：2016-08-09

申请号：US14565512

申请日：2014-12-10

Applicant: Intel Corporation

Inventor： Keqiang Wu ,  Jiwei Lu ,  Yong-Fong Lee

IPC: G06F9/46 ,  G06F1/12 ,  G06F9/30

CPC classification number: G06F9/30065 ,  G06F8/52 ,  G06F8/70 ,  G06F9/30087 ,  G06F11/3024 ,  G06F11/3409 ,  G06F11/3466 ,  G06F2201/81 ,  G06F2201/825 ,  G06F2201/865 ,  G06F2201/88

Abstract: One embodiment provides an apparatus. The apparatus includes a processor, a chipset, a memory to store a process, and logic. The processor includes one or more core(s) and is to execute the process. The logic is to acquire performance monitoring data in response to a platform processor utilization parameter (PUP) greater than a detection utilization threshold (UT), identify a spin loop based, at least in part, on at least one of a detected hot function and/or a detected hot loop, modify the identified spin loop using binary translation to create a modified process portion, and implement redirection from the identified spin loop to the modified process portion.

Abstract translation: 一个实施例提供了一种装置。 该装置包括处理器，芯片组，用于存储处理的存储器和逻辑。 处理器包括一个或多个核心，并且是执行该过程。 逻辑是响应于大于检测利用阈值（UT）的平台处理器利用参数（PUP）来获取性能监视数据，至少部分地基于检测到的热功能和 /或检测到的热循环，使用二进制转换修改所识别的自旋循环，以创建经修改的处理部分，并且实现从所识别的旋转循环到修改的处理部分的重定向。

公开(公告)号：US20160226728A1

公开(公告)日：2016-08-04

申请号：US15096108

申请日：2016-04-11

Applicant: AppDynamics, Inc.

Inventor： Jyoti Bansal ,  Bhaskar Sunkara ,  Manoj Acharya

IPC: H04L12/26 ,  G06N99/00 ,  G06F9/455 ,  H04L29/08

CPC classification number: H04L43/045 ,  G06F9/45533 ,  G06F11/3003 ,  G06F11/302 ,  G06F11/3093 ,  G06F11/3409 ,  G06F11/3419 ,  G06F11/3466 ,  G06F2201/81 ,  G06F2201/815 ,  G06F2201/865 ,  G06F2201/87 ,  G06F2201/875 ,  G06N5/00 ,  G06N20/00 ,  G06Q20/00 ,  H04L43/022 ,  H04L67/10

Abstract: A system monitors a network or web application provided by one or more distributed applications and provides data for each and every method instance in an efficient low-cost manner. The web application may be provided by one or more web services each implemented as a virtual machine or one or more applications implemented on a virtual machine. Agents may be installed on one or more servers at an application level, virtual machine level, or other level. The agent may identify one or more hot spot methods based on current or past performance, functionality, content, or business relevancy. Based on learning techniques, efficient monitoring, and resource management, the present system may capture data for and provide analysis information for outliers of a web application with very low overhead.

Abstract translation: 系统监视由一个或多个分布式应用程序提供的网络或Web应用程序，并以有效的低成本方式为每个方法实例提供数据。 web应用可以由一个或多个web服务提供，每个Web服务被实现为虚拟机或在虚拟机上实现的一个或多个应用。 代理可以安装在应用程序级别，虚拟机级别或其他级别的一个或多个服务器上。 代理可以基于当前或过去的性能，功能，内容或业务相关性来识别一个或多个热点方法。 基于学习技术，有效的监控和资源管理，本系统可以非常低的开销为Web应用程序的异常值捕获数据和提供分析信息。

公开(公告)号：US20160216994A1

公开(公告)日：2016-07-28

申请号：US15026306

申请日：2013-10-03

Applicant: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

Inventor： Azimeh SEFIDCON ,  Vinay YADHAV

IPC: G06F9/455 ,  H04L12/931

CPC classification number: G06F9/45558 ,  G06F11/3409 ,  G06F11/3433 ,  G06F11/3495 ,  G06F2009/45591 ,  G06F2009/45595 ,  G06F2201/81 ,  G06F2201/815 ,  H04L49/70

Abstract: The following invention relates to methods, systems, computer programs and computer program products for supporting said method, and different embodiments thereof, for monitoring data packet flows between Virtual Machines, VMs, within a data centre. The method comprises collecting flow data for data packet flows between VMs in the data centre, and mapping the flow data of data packet flows between VMs onto data centre topology to establish flow costs for said data packet flows. The method further comprises calculating an aggregated flow cost for all the flows associated with a VM for each VM within the data centre, and determining whether to reschedule any VM, or not, based on the aggregated flow cost.

Abstract translation: 以下发明涉及用于支持所述方法的方法，系统，计算机程序和计算机程序产品及其不同实施例，用于监视数据中心内的虚拟机，VM之间的数据分组流。 该方法包括收集数据中心的VM之间的数据包流的流数据，并将VM之间的数据包流的流数据映射到数据中心拓扑上，以建立所述数据包流的流量成本。 该方法还包括计算与数据中心内的每个VM相关联的VM的所有流的聚合流成本，以及基于聚合流成本确定是否重新安排任何VM。

公开(公告)号：US09396080B2

公开(公告)日：2016-07-19

申请号：US14454482

申请日：2014-08-07

Applicant: SanDisk Technologies Inc.

Inventor： Ashutosh Malshe ,  Neil Richard Darragh ,  Karthik Krishnamoorthy

IPC: G06F11/00 ,  G06F11/20 ,  G06F11/07

CPC classification number: G06F11/2094 ,  G06F11/073 ,  G06F11/076 ,  G06F11/0793 ,  G06F2201/81

Abstract: A method for analyzing a read error event is provided comprising reading a page of data stored in memory, determining a read error event for the page of data, and identifying a scope of the read error event in the memory. In another embodiment, a method for performing a preliminary read error recovery is provided comprising reading a first data unit from memory and identifying a bit error rate for a first data unit with a correction engine, determining that the bit error rate is above a threshold, accessing a data structure including entries identifying data units and read error event information associated with the data units, identifying a second data unit in an entry that matches the first data unit, and performing a preliminary read error recovery process on the first data unit using the information in the entry to reduce the bit error rate below the threshold.

Abstract translation: 提供了一种用于分析读取错误事件的方法，包括读取存储在存储器中的数据页面，确定数据页面的读取错误事件，以及识别存储器中的读取错误事件的范围。 在另一个实施例中，提供了一种用于执行初步读取错误恢复的方法，包括从存储器读取第一数据单元并且利用校正引擎识别第一数据单元的误码率，确定误码率高于阈值， 访问包括标识数据单元的条目和与数据单元相关联的读取错误事件信息的数据结构，识别与第一数据单元匹配的条目中的第二数据单元，以及使用第一数据单元对第一数据单元执行初步读取错误恢复处理 条目中的信息减少了误码率低于阈值。

公开(公告)号：US20160189793A1

公开(公告)日：2016-06-30

申请号：US14583608

申请日：2014-12-27

Applicant: INTEL CORPORATION

Inventor： VINUPAMA GODAVARTHI ,  MUKESH KATARIA

IPC: G11C17/18 ,  G11C17/16

CPC classification number: G11C17/18 ,  G06F11/3024 ,  G06F11/3058 ,  G06F2201/81 ,  G06F2201/88 ,  G11C7/1006 ,  G11C17/16

Abstract: A processor has a limited set of guard bands that the processor uses, and when a certain amount of stress is accumulated as indicated by the cumulative stress counters (Seff), and the threshold for the current guard is about to be exceeded, the processor switches to the next wider guard band with this technique occurring until all the guard bands are used and end of life settings are reached. This data that can be stored in the FPFs, and in accordance with one exemplary embodiment, the guard band index itself is also stored in the FPFs and used to ensure the most accurate guard band is used by the processor/device.

Abstract translation: 处理器具有处理器使用的一组有限的保护带，并且当由累积应力计数器（Seff）所指示的那样累积一定量的应力时，将要超过当前防护装置的阈值，则处理器切换 使用这种技术发生到下一个较宽的保护带，直到使用所有保护带并且达到寿命结束。 可以存储在FPF中的数据，并且根据一个示例性实施例，保护频带索引本身也存储在FPF中，并用于确保处理器/设备使用最准确的保护频带。

公开(公告)号：US20160170641A1

公开(公告)日：2016-06-16

申请号：US14572581

申请日：2014-12-16

Applicant: Intel Corporation

Inventor： DAVID J. PELSTER ,  XIN GUO ,  DAVID M. JONES

IPC: G06F3/06

CPC classification number: G06F3/061 ,  G06F3/0616 ,  G06F3/0655 ,  G06F3/0659 ,  G06F3/0679 ,  G06F3/0688 ,  G06F11/3034 ,  G06F11/3466 ,  G06F11/3485 ,  G06F2201/81 ,  G06F2201/88

Abstract: The present disclosure is directed to gradual context saving in a data storage device. An example data storage device may comprise at least a non-volatile memory and a control module. The control module may cause context data to be gradually saved to the non-volatile memory based on monitoring write activity to the nonvolatile memory, wherein the context data may correspond to a current state of the data storage device. The control module may cause context data to be saved based on a budget ratio. For example, a budget ratio may compare an amount of total budget consumed (e.g., based a capacity of the data storage device, an amount of data stored in the data storage device, a target time-to-ready for the data storage device, etc.) to an amount of total context data that has already been written to the non-volatile memory.

Abstract translation: 本公开涉及在数据存储设备中逐渐上下文保存。 示例性数据存储设备可以包括至少一个非易失性存储器和控制模块。 控制模块可以基于监视对非易失性存储器的写入活动，使上下文数据逐渐保存到非易失性存储器，其中上下文数据可对应于数据存储设备的当前状态。 控制模块可以基于预算比率来导致上下文数据被保存。 例如，预算比可以比较所消耗的总预算量（例如，基于数据存储设备的容量，存储在数据存储设备中的数据量，数据存储设备的准备时间， 等等）到已经写入非易失性存储器的总上下文数据的量。

公开(公告)号：US20160162383A1

公开(公告)日：2016-06-09

申请号：US14906383

申请日：2014-06-18

Applicant: SIEMENS AKTIENGESELLSCHAFT

Inventor： Uwe Blöcher ,  Jens-Uwe Bußer ,  Rainer Falk ,  Volker Fusenig

IPC: G06F11/30 ,  G06F11/32 ,  G06F11/34

CPC classification number: G06F11/3048 ,  G06F11/16 ,  G06F11/1641 ,  G06F11/3024 ,  G06F11/3058 ,  G06F11/328 ,  G06F11/3409 ,  G06F21/755 ,  G06F2201/81 ,  G06F2201/86

Abstract: A device for monitoring a component has at least one processor core and a further processor core. The device further includes a determining unit configured to determine a profile of the processor core, the profile being influenced by an input signal applied to the processor core, and to determine a further profile of the further processor core, the further profile being influenced by a further input signal applied to the further processor core. The device further includes a comparison unit configured to compare the profile and the further profile and to generate a fault signal, if a comparison result of a comparison carried out by the comparison unit indicates defective similarity of the profile to the further profile.

Abstract translation: 用于监视组件的设备具有至少一个处理器核心和另外的处理器核心。 所述设备还包括确定单元，其被配置为确定所述处理器核心的简档，所述简档受到施加到所述处理器核心的输入信号的影响，并且确定所述另外的处理器核心的另外的简档，所述另外的简档受到 另外的输入信号被施加到另外的处理器核心。 所述设备还包括比较单元，其被配置为比较所述简档和所述另外的配置文件并产生故障信号，如果由所述比较单元执行的比较的比较结果指示所述配置文件与所述另外的配置文件的不相似性。

公开(公告)号：US20160162349A1

公开(公告)日：2016-06-09

申请号：US15019951

申请日：2016-02-09

Applicant: Axcient, Inc.

Inventor： William Scott Edwards ,  Teresa Aguilera

IPC: G06F11/07

CPC classification number: H04L67/1095 ,  G06F11/079 ,  G06F11/1461 ,  G06F11/3006 ,  G06F11/3055 ,  G06F11/324 ,  G06F2201/81 ,  H04L43/08 ,  H04L67/16

Abstract: Systems, methods, and media that provide backup protection statuses for computing devices are provided herein. Some methods may include determining a backup status for a first computing device, assigning a protection status for the first computing device based upon a comparison of the backup status and a compliance schema for the first computing device, and transmitting the protection status to a monitoring device utilized by an end user.

Abstract translation: 本文提供了为计算设备提供备份保护状态的系统，方法和介质。 一些方法可以包括确定第一计算设备的备份状态，基于备份状态与第一计算设备的合规性模式的比较来为第一计算设备分配保护状态，并将保护状态发送到监视设备 由最终用户使用。

公开(公告)号：US20160154814A1

公开(公告)日：2016-06-02

申请号：US15018591

申请日：2016-02-08

Applicant: Dell Products L.P.

Inventor： William Price Dawkins, JR. ,  Stephen Gouze Luning

IPC: G06F17/30

CPC classification number: G06F17/30138 ,  G06F11/2094 ,  G06F17/30091 ,  G06F17/30159 ,  G06F17/30371 ,  G06F2201/81

Abstract: Systems and methods for improving storage efficiency in an information handling system are provided. In some embodiments, an information handling system including an increased storage efficiency is provided. The information handling system may include a processor associated with a first storage resource and a plurality of second storage resources, where the first storage resource is more reliable than the plurality of second storage resources. The processor may be configured to determine a weight of a file portion, determine a number of copies of the file portion to be stored based at least on the determined weight, and store a copy of the file portion on the first storage resource if the determined number of copies of the file portion is greater than a predetermined storage threshold.

Abstract translation: 提供了用于提高信息处理系统中的存储效率的系统和方法。 在一些实施例中，提供了包括增加的存储效率的信息处理系统。 信息处理系统可以包括与第一存储资源和多个第二存储资源相关联的处理器，其中第一存储资源比多个第二存储资源更可靠。 处理器可以被配置为确定文件部分的权重，至少基于确定的权重来确定要存储的文件部分的副本的数量，并且如果确定的，确定文件部分的副本存储在第一存储资源上 文件部分的份数大于预定的存储阈值。

公开(公告)号：US20160124833A1

公开(公告)日：2016-05-05

申请号：US14530450

申请日：2014-10-31

Applicant: AppDynamics, Inc.

Inventor： Amod Gupta ,  Ryan Ericson

IPC: G06F11/34 ,  G06F11/30

CPC classification number: G06F11/3495 ,  G06F11/3409 ,  G06F2201/81 ,  G06F2201/87

Abstract: Application performance data and machine health are collected by a system. The system correlates the two data types to provide context as to how machine health affects the performance of an application. Performance data for an application, for example an application executing as part of a distributed business transaction, and health data for a machine which hosts the application are collected. The performance data and machine health data may be correlated for a particular period of time. The correlation may then be reported to a user. By viewing the correlation, a user may see when machine health was good and bad, and may identify the effects of the machine health on the performance of an application.

Abstract translation: 应用程序性能数据和机器运行状况由系统收集。 系统将两种数据类型相关联以提供关于机器健康如何影响应用程序性能的上下文。 收集应用程序的性能数据，例如作为分布式业务事务的一部分执行的应用程序，以及承载应用程序的机器的运行状况数据。 性能数据和机器健康数据可以在特定时间段内相关。 然后可以将相关性报告给用户。 通过查看相关性，用户可以看到机器的健康状况是好还是坏，并且可以识别机器健康对应用的性能的影响。