Autonomic retention classes
    41.
    发明授权
    Autonomic retention classes 失效
    自主保留类

    公开(公告)号:US07953705B2

    公开(公告)日:2011-05-31

    申请号:US12059136

    申请日:2008-03-31

    IPC分类号: G06F7/00

    摘要: The embodiments of the invention provide methods, computer program products, etc. for autonomic retention classes when retaining data within storage devices. More specifically, a method of determining whether to retain data within at least one storage device begins by storing data items in at least one storage device. Furthermore, the method maintains access statistics for each of the data items, an age of each of the data items, and an administrator-defined importance value of each of the data items. Following this, a retention value is calculated for each of the data items based on the access statistics for each of the data items, the age of each of the data items, and the administrator-defined importance value of each of the data items.

    摘要翻译: 本发明的实施例在将数据保存在存储设备内时提供用于自主保留类别的方法,计算机程序产品等。 更具体地说,一种确定是否在至少一个存储设备内保留数据的方法开始于将数据项存储在至少一个存储设备中。 此外,该方法维护每个数据项的访问统计,每个数据项的年龄以及每个数据项的管理员定义的重要性值。 此后,基于每个数据项的访问统计,每个数据项的年龄和每个数据项的管理员定义的重要性值,为每个数据项计算保留值。

    System and method for recording behavior history for abnormality detection
    42.
    发明授权
    System and method for recording behavior history for abnormality detection 失效
    用于记录异常检测行为历史的系统和方法

    公开(公告)号:US07711520B2

    公开(公告)日:2010-05-04

    申请号:US12116506

    申请日:2008-05-07

    IPC分类号: G06F11/30

    摘要: Disclosed is an autonomic abnormality detection device having a plurality of agents, a server with a one or more processors, a data storage device and a corrective actions engine. The device is adapted to detect and diagnose abnormalities in system components. Particularly, the device uses agents to track performance/workload measurements of system components and dynamically compiles a history of those performance/workload measurements for each component. In order to detect abnormalities a processor compares current performance/workload measurements for a component to the compiled histories for that component and for other components. The processor can further be adapted to determine possible causes of a detected abnormality and to report the abnormality, including the possible causes, to a corrective actions engine.

    摘要翻译: 公开了具有多个代理的自主异常检测装置,具有一个或多个处理器的服务器,数据存储装置和纠正动作引擎。 该设备适用于检测和诊断系统组件中的异常。 特别地,该设备使用代理跟踪系统组件的性能/工作负载测量,并动态编译每个组件的性能/工作负载测量的历史记录。 为了检测异常,处理器将组件的当前性能/工作负载测量结果与该组件和其他组件的已编译历史进行比较。 处理器还可以适于确定检测到的异常的可能原因,并将包括可能的原因的异常报告给校正动作引擎。

    COMPLIANT-BASED SERVICE LEVEL OBJECTIVES
    43.
    发明申请
    COMPLIANT-BASED SERVICE LEVEL OBJECTIVES 有权
    符合性服务水平目标

    公开(公告)号:US20080195404A1

    公开(公告)日:2008-08-14

    申请号:US11674197

    申请日:2007-02-13

    IPC分类号: G06Q99/00

    CPC分类号: G06Q10/06

    摘要: The embodiments of the invention provide methods, computer program products, etc. for complaint-based service level objectives. More specifically, a method of deducing undefined service level objectives receives complaints regarding behavior of a system. The complaints could include a severity parameter, an entity parameter, a nature-of-complaint parameter, a timestamp parameter, and/or an identification parameter. Next, system details representing a current state of the system are recorded for each of the complaints. The method then automatically analyzes a history of the system details and the complaints to produce a historical compilation of the system details. The analyzing can include weighing each of the system details by a severity parameter value.

    摘要翻译: 本发明的实施例提供了用于基于投诉的服务水平目标的方法,计算机程序产品等。 更具体地说,推导未定义的服务级别目标的方法接收关于系统行为的投诉。 投诉可以包括严重性参数,实体参数,投诉性质参数,时间戳参数和/或识别参数。 接下来,针对每个投诉记录表示系统的当前状态的系统细节。 然后,该方法自动分析系统细节和投诉的历史,以生成系统细节的历史编辑。 分析可以包括通过严重性参数值称量每个系统细节。

    Hybrid data backup in a networked computing environment
    44.
    发明授权
    Hybrid data backup in a networked computing environment 有权
    网络计算环境中的混合数据备份

    公开(公告)号:US08775376B2

    公开(公告)日:2014-07-08

    申请号:US13172930

    申请日:2011-06-30

    IPC分类号: G06F7/00 G06F17/00

    摘要: Embodiments of the present invention provide a hybrid (e.g., local and remote) approach for data backup in a networked computing environment (e.g., a cloud computing environment). In a typical embodiment, a set of storage configuration parameters corresponding to a set of data to be backed up is received and stored in a computer data structure. The set of storage configuration parameters can comprise at least one of the following: a recovery time objective (RTO), a recovery point objective (RPO), and a desired type of protection for the set of data. Regardless, the set of data is compared to previously stored data to identify at least one of the following: portions of the set of data that have commonality with the previously stored data; and portions of the set of data that are unique to the set of data (i.e., not in common with any of the previously stored data). The above-described process is referred to herein as “de-duplication”. A storage solution is then determined based on the set of storage configuration parameters. In general, the storage solution identifies at least one local storage resource and at least one remote storage resource (e.g., a cloud storage resource) for backing up the portions of the set of data that are unique to the set of data. Once the storage solution has been determined, the unique portions of the set of data will be stored in accordance therewith.

    摘要翻译: 本发明的实施例提供了一种用于网络计算环境(例如,云计算环境)中的数据备份的混合(例如,本地和远程)方法。 在典型的实施例中,接收一组对应于要备份的数据的存储配置参数并将其存储在计算机数据结构中。 该组存储配置参数可以包括以下中的至少一个:恢复时间目标(RTO),恢复点目标(RPO)以及该组数据的期望类型的保护。 无论如何,将该组数据与先前存储的数据进行比较,以识别以下中的至少一个:与先前存储的数据具有共同性的数据集合中的部分; 以及数据集合中对数据集合唯一的部分(即,与先前存储的任何数据不共同的)。 上述处理在本文中被称为“重复数据删除”。 然后基于存储配置参数的集合来确定存储解决方案。 通常,存储解决方案识别至少一个本地存储资源和至少一个远程存储资源(例如,云存储资源),用于备份该组数据的唯一的数据组的部分。 一旦确定了存储解决方案,则将根据其存储该组数据的唯一部分。

    Compliant-based service level objectives
    45.
    发明授权
    Compliant-based service level objectives 有权
    符合规范的服务水平目标

    公开(公告)号:US08260622B2

    公开(公告)日:2012-09-04

    申请号:US11674197

    申请日:2007-02-13

    IPC分类号: G06Q10/00 G06F11/00

    CPC分类号: G06Q10/06

    摘要: The embodiments of the invention provide methods, computer program products, etc. for complaint-based service level objectives. More specifically, a method of deducing undefined service level objectives receives complaints regarding behavior of a system. The complaints could include a severity parameter, an entity parameter, a nature-of-complaint parameter, a timestamp parameter, and/or an identification parameter. Next, system details representing a current state of the system are recorded for each of the complaints. The method then automatically analyzes a history of the system details and the complaints to produce a historical compilation of the system details. The analyzing can include weighing each of the system details by a severity parameter value.

    摘要翻译: 本发明的实施例提供了用于基于投诉的服务水平目标的方法,计算机程序产品等。 更具体地说,推导未定义的服务级别目标的方法接收关于系统行为的投诉。 投诉可以包括严重性参数,实体参数,投诉性质参数,时间戳参数和/或识别参数。 接下来,针对每个投诉记录表示系统的当前状态的系统细节。 然后,该方法自动分析系统细节和投诉的历史,以生成系统细节的历史编辑。 分析可以包括通过严重性参数值称量每个系统细节。

    Multi-Level Offload of Model-Based Adaptive Monitoring for Systems Management
    46.
    发明申请
    Multi-Level Offload of Model-Based Adaptive Monitoring for Systems Management 有权
    基于模型的多级卸载系统管理自适应监控

    公开(公告)号:US20110106938A1

    公开(公告)日:2011-05-05

    申请号:US12612507

    申请日:2009-11-04

    IPC分类号: G06F15/173

    摘要: A method, system, and article are provided for monitoring performance of hardware devices. Each hardware device is configured with an agent, and the server is configured with a coordinator. The agent collects device data at a first modifiable frequency and communicates the collected data to the coordinator at a second dynamically modifiable frequency. The collected data is periodically monitored and the first and second frequencies are modified subject to evaluation of the collected and monitored data.

    摘要翻译: 提供了一种方法,系统和文章来监视硬件设备的性能。 每个硬件设备都配置了一个代理,服务器配置了一个协调器。 代理以第一可修改频率收集设备数据,并以第二可动态修改频率将收集的数据传送给协调器。 定期监测所收集的数据,并对收集和监测的数据进行评估,对第一和第二频率进行修改。

    Risk-modulated proactive data migration for maximizing utility in storage systems
    47.
    发明授权
    Risk-modulated proactive data migration for maximizing utility in storage systems 有权
    风险调控的主动数据迁移,以最大限度地提高存储系统的效用

    公开(公告)号:US07752239B2

    公开(公告)日:2010-07-06

    申请号:US12061764

    申请日:2008-04-03

    IPC分类号: G06F7/00

    摘要: The embodiments of the invention provide a method, computer program product, etc. for risk-modulated proactive data migration for maximizing utility. More specifically, a method of planning data migration for maximizing utility of a storage infrastructure that is running and actively serving at least one application includes selecting a plurality of potential data items for migration and selecting a plurality of potential migration destinations to which the potential data items can be moved. Moreover, the method selects a plurality of potential migration speeds at which the potential data items can be moved and selects a plurality of potential migration times at which the potential data items can be moved to the potential data migration destinations. The selecting of the plurality of potential migration speeds selects a migration speed below a threshold speed, wherein the threshold speed defines a maximum system utility loss permitted.

    摘要翻译: 本发明的实施例提供了一种用于风险调节的主动数据迁移的方法,计算机程序产品等,以最大化效用。 更具体地说,一种规划数据迁移以最大化正在运行并主动地为至少一个应用服务的存储基础设施的效用的方法包括:选择多个潜在数据项以进行迁移并选择多个潜在迁移目的地,潜在数据项 可以移动 此外,该方法选择可移动潜在数据项的多个潜在迁移速度,并选择潜在数据项能够移动到潜在数据迁移目的地的多个潜在迁移时间。 选择多个潜在迁移速度选择低于阈值速度的迁移速度,其中阈值速度定义允许的最大系统效用损失。

    Stable, minimal skew resource flow control technique in large scale enterprise storage systems
    48.
    发明授权
    Stable, minimal skew resource flow control technique in large scale enterprise storage systems 失效
    在大型企业存储系统中稳定,最小化偏向资源流控制技术

    公开(公告)号:US07526552B2

    公开(公告)日:2009-04-28

    申请号:US11211793

    申请日:2005-08-25

    IPC分类号: G06F15/173 G06F15/16

    摘要: A system and method of conducting resource flow control sessions in a computer network comprises sending a resource request from a client computer to a server computer; assigning to the client computer a flow control window, wherein a size of a flow control window is based on resources available to the server computer and a level of activity of a corresponding client computer, wherein the server computer is in any of a busy and idle state of activity; determining whether to change the size of the flow control window upon receiving the resource request based on the level of activity of the corresponding client computer and a current utilization of resources during a particular session of use; tracking a number of active sessions of use of the resources in a predetermined time window; and maintaining the flow control window with a maximum queue size per number of sessions value.

    摘要翻译: 在计算机网络中进行资源流控制会话的系统和方法包括:从客户计算机向服务器计算机发送资源请求; 向客户端计算机分配流控制窗口,其中流控制窗口的大小基于可用于服务器计算机的资源和相应的客户端计算机的活动级别,其中服务器计算机处于忙碌和空闲状态 活动状态 基于相应的客户端计算机的活动级别以及特定的使用期间的资源的当前利用,确定在接收到资源请求时是否改变流量控制窗口的大小; 在预定时间窗口中跟踪资源的使用的多个活动会话; 并且每个会话值的每个维度具有最大队列大小的流控制窗口。

    AUTONOMIC RETENTION CLASSES
    49.
    发明申请
    AUTONOMIC RETENTION CLASSES 失效
    自动保持类

    公开(公告)号:US20080222225A1

    公开(公告)日:2008-09-11

    申请号:US12059136

    申请日:2008-03-31

    IPC分类号: G06F12/00 G06F17/30

    摘要: The embodiments of the invention provide methods, computer program products, etc. for autonomic retention classes when retaining data within storage devices. More specifically, a method of determining whether to retain data within at least one storage device begins by storing data items in at least one storage device. Furthermore, the method maintains access statistics for each of the data items, an age of each of the data items, and an administrator-defined importance value of each of the data items. Following this, a retention value is calculated for each of the data items based on the access statistics for each of the data items, the age of each of the data items, and the administrator-defined importance value of each of the data items.

    摘要翻译: 本发明的实施例在将数据保存在存储设备内时提供用于自主保留类别的方法,计算机程序产品等。 更具体地说,一种确定是否在至少一个存储设备内保留数据的方法开始于将数据项存储在至少一个存储设备中。 此外,该方法维护每个数据项的访问统计,每个数据项的年龄以及每个数据项的管理员定义的重要性值。 此后,基于每个数据项的访问统计,每个数据项的年龄和每个数据项的管理员定义的重要性值,为每个数据项计算保留值。