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    SYSTEM AND METHOD FOR PREDICTING FALSE SHARING
    232.
    发明申请
    SYSTEM AND METHOD FOR PREDICTING FALSE SHARING 审中-公开
    用于预测虚假共享的系统和方法

    公开(公告)号：WO2015010657A1

    公开(公告)日：2015-01-29

    申请号：PCT/CN2014/083094

    申请日：2014-07-26

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： TIAN, Chen ,  LIU, Tongping ,  HU, Ziang

    IPC: G06F12/08

    CPC classification number: G06F12/0842 ,  G06F8/443 ,  G06F11/3003 ,  G06F11/3037 ,  G06F11/3065 ,  G06F11/3089 ,  G06F11/3093 ,  G06F11/3428 ,  G06F11/3466 ,  G06F11/3471 ,  G06F12/0844 ,  G06F2201/865 ,  G06F2201/885 ,  G06F2212/1016 ,  G06F2212/507

    Abstract: A method for predicting false sharing includes running code on a plurality of cores and tracking potential false sharing in the code while running the code to produce tracked potential false sharing, where tracking the potential false sharing includes determining whether there is potential false sharing between a first cache line and a second cache line, and where the first cache line is adjacent to the second cache line. The method also includes reporting potential false sharing in accordance with the tracked potential false sharing to produce a false sharing report.

    Abstract translation: 一种用于预测虚假共享的方法包括在多个核心上运行代码并且在运行代码的同时跟踪代码中的潜在的错误共享以产生跟踪的潜在的虚假共享，其中跟踪潜在的虚假共享包括确定是否存在第一 高速缓存行和第二高速缓存行，并且其中第一高速缓存行与第二高速缓存行相邻。 该方法还包括根据跟踪的潜在虚假共享报告潜在的虚假共享，以产生虚假共享报告。

    VULNERABILITY ESTIMATION FOR CACHE MEMORY
    236.
    发明申请
    VULNERABILITY ESTIMATION FOR CACHE MEMORY 审中-公开
    缓存记忆的易损性估计

    公开(公告)号：WO2014142852A1

    公开(公告)日：2014-09-18

    申请号：PCT/US2013/031038

    申请日：2013-03-13

    Applicant: INTEL CORPORATION

    Inventor： CASADO, Javier Carretero ,  VERA, Xavier ,  RAMIREZ, Tanausu ,  SANCHEZ, Daniel ,  ABELLANAS, Enric Herrero ,  AXELOS, Nicholas

    IPC: G06F11/00 ,  G06F12/08 ,  G06F13/14

    CPC classification number: G06F11/3409 ,  G06F11/3471 ,  G06F2201/88 ,  G06F2201/885

    Abstract: A method of determining vulnerability of a cache memory includes associating a first counter with a cache element and periodically incrementing the first counter. When a read or other access that consumes the data in the cache element occurs, a current value of the first counter is accumulated. When a write or other cache access that modifies data in the cache element occurs, the first counter is reset. At the end of an evaluation period, the value in a total counter approximates the number of clock cycles during which data that was consumed was vulnerable. Dividing this value by the number of clock cycles approximates the vulnerability of this cache element. The vulnerability for a subset of all cache elements may be measured and extrapolated to obtain an estimate for the vulnerability of the cache memory as a whole.

    Abstract translation: 确定高速缓存存储器的脆弱性的方法包括将第一计数器与高速缓存元件相关联并周期性地增加第一计数器。 当消耗高速缓存元件中的数据的读取或其他访问时，累积第一计数器的当前值。 当发生修改高速缓存元件中的数据的写入或其他高速缓存访​​问时，第一个计数器被复位。 在评估期结束时，总计数器中的值近似于所消耗数据易受攻击的时钟周期数。 将此值除以时钟周期数可以逼近此缓存元素的漏洞。 所有高速缓存元素的子集的漏洞可以被测量和推断，以获得整体高速缓冲存储器的漏洞的估计。

    SYSTEM AND METHOD FOR DATACENTERS DISASTER RECOVERY
    237.
    发明申请
    SYSTEM AND METHOD FOR DATACENTERS DISASTER RECOVERY 审中-公开
    用于数据灾难恢复的系统和方法

    公开(公告)号：WO2014002094A2

    公开(公告)日：2014-01-03

    申请号：PCT/IL2013/050548

    申请日：2013-06-25

    Applicant: STORONE LTD.

    Inventor： GORDON, Raz ,  KIPNIS, Tal ,  LOEWENBERG, Guy

    IPC: G06F11/22

    CPC classification number: G06F11/1469 ,  G06F11/1402 ,  G06F11/1446 ,  G06F11/1451 ,  G06F11/1461 ,  G06F11/1464 ,  G06F11/1662 ,  G06F11/2094 ,  G06F11/3433 ,  G06F11/3485 ,  G06F2201/805 ,  G06F2201/81 ,  G06F2201/82 ,  G06F2201/88 ,  G06F2201/885

    Abstract: A method for configuring an asynchronous Disaster Recovery (DR) process over a storage system comprising a plurality of storage sites, the method comprising: receiving data indicative of the storage sites; calculating information dispersal parameters that enable dispersing slices of DR enabling data based on original data written to a primary storage site out of the storage sites between at least two DR storage sites out of the storage sites, wherein at least one of the DR storage sites is a remote storage site, wherein each of the slices of DR enabling data is smaller than the original data and wherein the DR enabling data is larger than the original data; and configuring the asynchronous DR process in accordance with the calculated information dispersal parameters.

    Abstract translation: 一种用于在包括多个存储站点的存储系统上配置异步灾难恢复（DR）过程的方法，所述方法包括：接收指示所述存储站点的数据; 计算信息散布参数，所述信息散布参数使得能够基于写入到存储站点中的至少两个DR存储站点之间的存储站点中的主存储站点的原始数据分散DR使能数据的切片，其中至少一个DR存储站点是 远程存储站点，其中每个DR使能数据片小于原始数据，并且其中DR使能数据大于原始数据; 并根据计算出的信息分散参数配置异步DR进程。

    ADAPTIVE CACHE FOR A SEMICONDUCTOR STORAGE DEVICE-BASED SYSTEM
    239.
    发明申请
    ADAPTIVE CACHE FOR A SEMICONDUCTOR STORAGE DEVICE-BASED SYSTEM 审中-公开
    用于半导体存储设备的系统的自适应缓存

    公开(公告)号：WO2012138109A3

    公开(公告)日：2013-01-10

    申请号：PCT/KR2012002511

    申请日：2012-04-04

    Applicant: TAEJIN INFO TECH CO LTD ,  CHO BYUNGCHEOL

    Inventor： CHO BYUNGCHEOL

    IPC: G06F12/08 ,  G06F13/14

    CPC classification number: G06F11/3485 ,  G06F11/1441 ,  G06F11/2015 ,  G06F12/0875 ,  G06F2201/885

    Abstract: Embodiments of the present invention provide an adaptive cache system and an adaptive cache system for a hybrid storage system. Specifically, in a typical embodiment, an input/out (I/O) traffic analysis component is provided for monitoring data traffic and providing a traffic analysis based thereon. An adaptive cache algorithm component is coupled to the I/O traffic analysis component for applying a set of algorithms to determine a storage schema for handling the data traffic. Further, an adaptive cache policy component is coupled to the adaptive cache algorithm component. The adaptive cache policy component applies a set of caching policies and makes storage determinations based on the traffic analysis and the storage schema. Based on the storage determinations, data traffic can be stored (e.g., cached) among a set of storage devices coupled to the adaptive cache policy component. Such storage components can include one or more of the following: a low-high cache, a low-mid-high cache, a low speed storage component, a middle speed storage component and/or a high speed storage component.

    Abstract translation: 本发明的实施例提供了一种用于混合存储系统的自适应高速缓存系统和自适应高速缓存系统。 具体地说，在典型的实施例中，提供了一种输入/输出（I / O）业务分析组件，用于监视数据流量并提供基于此的流量分析。 自适应高速缓存算法组件耦合到I / O流量分析组件，以应用一组算法来确定用于处理数据业务的存储模式。 此外，自适应高速缓存策略组件耦合到自适应高速缓存算法组件。 自适应缓存策略组件应用一组缓存策略，并根据流量分析和存储模式进行存储确定。 基于存储确定，可以在耦合到自适应高速缓存策略组件的一组存储设备中存储（例如，高速缓存）数据业务。 这样的存储组件可以包括以下中的一个或多个：低 - 高缓存，低中高缓存，低速存储组件，中速存储组件和/或高速存储组件。

    INTELLIGENT TIERS OF BACKUP DATA
    240.
    发明申请
    INTELLIGENT TIERS OF BACKUP DATA 审中-公开
    智能数据备份

    公开(公告)号：WO2010124023A3

    公开(公告)日：2011-03-24

    申请号：PCT/US2010031939

    申请日：2010-04-21

    Applicant: MICROSOFT CORP

    Inventor： MURPHY ELISSA E S ,  MEHR JOHN D

    IPC: G06F15/16 ,  G06F3/06 ,  G06F9/06 ,  G06F12/16

    CPC classification number: G06F11/1464 ,  G06F11/008 ,  G06F11/1448 ,  G06F11/1451 ,  G06F11/1456 ,  G06F11/1469 ,  G06F11/2094 ,  G06F11/3034 ,  G06F11/3433 ,  G06F11/3485 ,  G06F11/3495 ,  G06F2201/815 ,  G06F2201/86 ,  G06F2201/875 ,  G06F2201/885

    Abstract: The claimed subject matter relates to systems and/or methodologies that facilitate intelligent distribution of backup information across storage locations in network-based backup architectures. A virtual layering of backup information across storage locations in the backup architecture can be implemented. Statistical models are utilized to dynamically re-allocate backup information among storage locations and/or layers to ensure availability of data, minimum latency upon restore, and minimum bandwidth utilization upon restore. In addition, heuristics or machine learning techniques can be applied to proactively detect failures or other changes in storage locations such that backup information can be reallocated accordingly prior to a failure.

    Abstract translation: 所要求保护的主题涉及促进基于网络的备份架构中的备份信息跨存储位置的智能分发的系统和/或方法。 可以实现备份架构中跨存储位置的备份信息的虚​​拟分层。 统计模型用于在存储位置和/或层之间动态重新分配备份信息，以确保数据的可用性，恢复时的最小延迟以及还原时的最小带宽利用率。 此外，可以应用启发式或机器学习技术来主动检测存储位置中的故障或其他变化，从而可以在发生故障之前相应地重新分配备份信息。

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