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    CONTINUOUS DATA BACKUP USING REAL TIME DELTA STORAGE
    31.
    发明申请
    CONTINUOUS DATA BACKUP USING REAL TIME DELTA STORAGE 有权
    连续数据备份使用实时DELTA存储

    公开(公告)号：US20140201486A1

    公开(公告)日：2014-07-17

    申请号：US14214013

    申请日：2014-03-14

    Applicant: SonicWall, Inc.

    Inventor： Shunhui Zhu ,  Boris Yanovsky ,  William Dunn ,  Matthew W. Cotton

    IPC: G06F11/14

    CPC classification number: G06F3/0617 ,  G06F3/0643 ,  G06F3/065 ,  G06F3/067 ,  G06F11/1451 ,  G06F11/1456 ,  G06F11/1464 ,  G06F11/1466 ,  G06F11/1469 ,  G06F2201/83

    Abstract: A continuous data backup using real time delta storage has been presented. A backup appliance receives a backup request from a backup agent running on a computing machine to backup data on the computing machine. The computing machine is communicatively coupled to the backup appliance. Then the backup appliance performs block-based real-time backup of the data on the computing machine. The backup appliance stores backup data of the computing machine in a computer-readable storage device in the backup appliance.

    Abstract translation: 已经提出了使用实时增量存储的连续数据备份。 备份设备从计算机上运行的备份代理接收备份请求，以备份计算机上的数据。 计算机通信耦合到备用设备。 然后，备份设备将对计算机上的数据执行基于块的实时备份。 备份设备将计算机的备份数据存储在备份设备中的计算机可读存储设备中。

    System health and performance care of computing devices
    34.
    发明授权
    System health and performance care of computing devices 失效
    计算设备的系统健康和性能保护

    公开(公告)号：US08719634B2

    公开(公告)日：2014-05-06

    申请号：US13203973

    申请日：2009-11-19

    Applicant: Robert Cowie ,  Tam Dao ,  Tom Lam ,  Don Nguyen ,  Guoxuan Zhang

    Inventor： Robert Cowie ,  Tam Dao ,  Tom Lam ,  Don Nguyen ,  Guoxuan Zhang

    IPC: G06F11/00

    CPC classification number: G06F11/0736 ,  G06F11/0748 ,  G06F11/0751 ,  G06F11/0793 ,  G06F11/3466 ,  G06F2201/83 ,  G06F2201/865

    Abstract: A system and computer program product for system care for a computing device. In one embodiment, a process includes analyzing one or more software and hardware components of the computing device by a system care program of the computing device, analyzing system health of the computing device based on the one or more software and hardware components based on at least one of status and settings of the one or more software and hardware components, and analyzing performance of the computing device based on the one or more software and hardware components based on signature profiles of the one or more software and hardware components The process may also include determining one or more solutions for the computing device by the system care program based on the system health and performance of the computing device, and displaying a report including the one or more solutions.

    Abstract translation: 一种用于计算设备的系统护理系统和计算机程序产品。 在一个实施例中，过程包括通过计算设备的系统护理程序分析计算设备的一个或多个软件和硬件组件，基于至少基于一个或多个软件和硬件组件来分析计算设备的系统健康状况 所述一个或多个软件和硬件组件的状态和设置之一，以及基于所述一个或多个软件和硬件组件基于所述一个或多个软件和硬件组件的签名简档来分析所述计算设备的性能。 该过程还可以包括基于计算设备的系统健康状况和性能来确定系统护理程序的计算设备的一个或多个解决方案，以及显示包括一个或多个解决方案的报告。

    Verification Of Complex Multi-Application And Multi-Node Deployments
    35.
    发明申请
    Verification Of Complex Multi-Application And Multi-Node Deployments 有权
    复杂多应用和多节点部署的验证

    公开(公告)号：US20140109082A1

    公开(公告)日：2014-04-17

    申请号：US13654319

    申请日：2012-10-17

    Applicant: Tim G. Kimmet ,  Ashwanth Fernando

    Inventor： Tim G. Kimmet ,  Ashwanth Fernando

    IPC: G06F9/445

    CPC classification number: G06F11/3003 ,  G06F8/60 ,  G06F9/45533 ,  G06F11/3051 ,  G06F11/3082 ,  G06F2201/815 ,  G06F2201/83 ,  G06F2201/865

    Abstract: Systems and methods are disclosed for identifying software components stored on one or more virtual machines (VM). An installation directory is traversed and an ordered installation index of file paths and content identifiers are created for the files thereof. The installation index may be transmitted to a client that accesses artifact indexes for artifacts of software installed on the VMs. The artifact indexes include file paths and content identifiers for the fields of the artifact. Where all artifacts of a software package are found in the installation index, the package is deemed to be installed and a portal for accessing the VM may be updated to so indicate. The software packages found to be installed on a VM may be evaluated with respect to an application manifest to verify proper provisioning according to the manifest.

    Abstract translation: 公开了用于识别存储在一个或多个虚拟机（VM）上的软件组件的系统和方法。 遍历安装目录，并为其文件创建文件路径和内容标识符的有序安装索引。 可以将安装索引发送到客户端，该客户端可以访问安装在虚拟机上的软件工件的工件索引。 工件索引包括文件路径和工件的字段的内容标识符。 在安装索引中找到软件包的所有工件的情况下，该软件包被视为已安装，并且用于访问VM的门户可能更新为如此指示。 发现安装在VM上的软件包可以针对应用清单进行评估，以根据清单验证适当的配置。

    Isolating and correcting VPD data mismatch and/or corruption
    37.
    发明授权
    Isolating and correcting VPD data mismatch and/or corruption 有权
    隔离和纠正VPD数据不匹配和/或损坏

    公开(公告)号：US08639970B2

    公开(公告)日：2014-01-28

    申请号：US13093274

    申请日：2011-04-25

    Applicant: Ashish Batwara

    Inventor： Ashish Batwara

    IPC: G06F11/00

    CPC classification number: G06F11/073 ,  G06F11/1658 ,  G06F11/167 ,  G06F11/2089 ,  G06F2201/83

    Abstract: Disclosed is a method of detecting a product data error in a storage system. First and second vital product data (VPD) EEPROMs are read. Indicators of whether wither or both reads failed are received. Based on these indicators, the contents of the VPD EEPROMs may be compared. Based on a result of the comparing indicating a match, an arbitrary one of the VPD EEPROMS is used. Based on an indicator indicating an error with the first VPD EEPROM, the second VPD EEPROM is used.

    Abstract translation: 公开了一种检测存储系统中的产品数据错误的方法。 读取第一和第二重要产品数据（VPD）EEPROM。 收到指示器是否枯燥或两者读取失败。 基于这些指标，可以比较VPD EEPROM的内容。 基于表示匹配的比较结果，使用VPD EEPROMS中的任意一个。 基于指示第一VPD EEPROM发生错误的指示器，使用第二个VPD EEPROM。

    SYSTEMATIC FAILURE REMEDIATION
    38.
    发明申请
    SYSTEMATIC FAILURE REMEDIATION 审中-公开
    系统故障恢复

    公开(公告)号：US20130339779A1

    公开(公告)日：2013-12-19

    申请号：US13565139

    申请日：2012-08-02

    Applicant: Vasanth Bala ,  Niyu Ge ,  Ea-Ee Jan ,  Darrell C. Reimer ,  Lakshminarayanan Renganarayana ,  Xiaolan Zhang

    Inventor： Vasanth Bala ,  Niyu Ge ,  Ea-Ee Jan ,  Darrell C. Reimer ,  Lakshminarayanan Renganarayana ,  Xiaolan Zhang

    IPC: G06F11/07

    CPC classification number: G06F11/1433 ,  G06F2201/83

    Abstract: Aspects of the present invention provide a tool for analyzing and remediating an update-related failure. In an embodiment, a failure state of a computer system that has been arrived at as a result of an update is captured. A semantic diff that includes the difference between the failure state and at least one of an original state or a completion state is then computed. This semantic diff is transformed into a feature vector format. Then the transformed semantic diff is analyzed to determine a remediation for the update. Failure and/or resolution signatures can be constructed using the semantic diff and contextual data, and these signatures can be used in comparison and analysis of failures and resolutions.

    Abstract translation: 本发明的方面提供了用于分析和修复与更新相关的故障的工具。 在一个实施例中，捕获由于更新而到达的计算机系统的故障状态。 然后计算包括故障状态与原始状态或完成状态中的至少一个之间的差异的语义差异。 这种语义差异被转换成特征向量格式。 然后分析转换的语义差异以确定更新的修复。 可以使用语义差异和上下文数据构建故障和/或解析签名，并且可以将这些签名用于比较和分析故障和分辨率。

    MEMORY ALLOCATION ANALYSIS
    40.
    发明申请
    MEMORY ALLOCATION ANALYSIS 有权

    公开(公告)号：US20130054926A1

    公开(公告)日：2013-02-28

    申请号：US13217224

    申请日：2011-08-24

    Applicant: Calvin Hsia

    Inventor： Calvin Hsia

    IPC: G06F12/02

    CPC classification number: G06F12/023 ,  G06F3/0604 ,  G06F3/0608 ,  G06F3/0641 ,  G06F9/5016 ,  G06F11/3037 ,  G06F11/323 ,  G06F12/02 ,  G06F2201/83 ,  G06F2201/84

    Abstract: The subject disclosure relates to analyzing memory allocations for one or more computer-implemented processes. In particular, in conjunction with employing tags for tracking memory allocation commands, currently allocated memory can be examined for various characteristics of inefficient memory use. For example, as memory is initially allocated, a predetermined bit pattern can be written to the newly allocated memory. Thus, detection of the predetermined bit pattern can be indicative of wasted memory use. Moreover, additional features can be provided to both analyze data and present views associated with that analysis relating to identification of memory fragmentation, over-allocation, sparse memory use, duplication of allocations, multiple module loads, and so forth.

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