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21. 发明授权

US08315991B2 Detecting inadvertent or malicious data corruption in storage subsystems and recovering data 失效
标题翻译：检测存储子系统中的无意或恶意数据损坏并恢复数据
公开(公告)号：US08315991B2
公开(公告)日：2012-11-20
申请号：US12763934
申请日：2010-04-20
申请人： Nagapramod S. Mandagere , Mark J. Seaman , Sandeep M. Uttamchandani
发明人： Nagapramod S. Mandagere , Mark J. Seaman , Sandeep M. Uttamchandani
IPC分类号： G06F17/30
CPC分类号： G06F11/1435 , G06F17/30368 , G06F2201/84
摘要： Embodiments of the invention detect inadvertent or malicious data corruption and for recovering data including receiving a query specifying corrupted application data; analyzing transaction logs to find update operations related to the data; determining where the data are stored, by mapping the table data to locations within the file system and mapping the file system locations to volume logical blocks; and analyzing snapshot volume bitmaps to determine if the bitmaps show changes to the table data stored in the volume logical blocks. Changes which are reflected in the bitmaps for the data, but which do not have corresponding entries in the transaction logs are flagged as unauthorized changes. Snapshots of the data, from a time prior to the time at which a flagged snapshot was taken, are identified for use in restoring data to its status prior to the unauthorized change.
摘要翻译：本发明的实施例检测无意或恶意的数据损坏并且用于恢复数据，包括接收指定损坏的应用数据的查询; 分析事务日志以查找与数据相关的更新操作; 通过将表数据映射到文件系统内的位置并将文件系统位置映射到卷逻辑块来确定数据的存储位置; 并分析快照卷位图以确定位图是否显示存储在卷逻辑块中的表数据的更改。反映在数据的位图中但在事务日志中没有相应条目的更改将被标记为未经授权的更改。在从被标记的快照拍摄之前的时间起，数据的快照被识别用于在未经授权的更改之前将数据恢复到其状态。

22. 发明申请

US20110258164A1 Detecting Inadvertent or Malicious Data Corruption in Storage Subsystems and Recovering Data 失效
标题翻译：检测存储子系统中无意或恶意数据损坏和恢复数据
公开(公告)号：US20110258164A1
公开(公告)日：2011-10-20
申请号：US12763934
申请日：2010-04-20
申请人： Nagapramod S. Mandagere , Mark J. Seaman , Sandeep M. Uttamchandani
发明人： Nagapramod S. Mandagere , Mark J. Seaman , Sandeep M. Uttamchandani
IPC分类号： G06F12/16 , G06F17/30
CPC分类号： G06F11/1435 , G06F17/30368 , G06F2201/84
摘要： Embodiments of the invention detect inadvertent or malicious data corruption and for recovering data including receiving a query specifying corrupted application data; analyzing transaction logs to find update operations related to the data; determining where the data are stored, by mapping the table data to locations within the file system and mapping the file system locations to volume logical blocks; and analyzing snapshot volume bitmaps to determine if the bitmaps show changes to the table data stored in the volume logical blocks. Changes which are reflected in the bitmaps for the data, but which do not have corresponding entries in the transaction logs are flagged as unauthorized changes. Snapshots of the data, from a time prior to the time at which a flagged snapshot was taken, are identified for use in restoring data to its status prior to the unauthorized change.
摘要翻译：本发明的实施例检测无意或恶意的数据损坏并且用于恢复数据，包括接收指定损坏的应用数据的查询; 分析事务日志以查找与数据相关的更新操作; 通过将表格数据映射到文件系统内的位置并将文件系统位置映射到卷逻辑块来确定数据的存储位置; 并分析快照卷位图以确定位图是否显示存储在卷逻辑块中的表数据的更改。反映在数据的位图中但在事务日志中没有相应条目的更改将被标记为未经授权的更改。在从被标记的快照拍摄之前的时间起，数据的快照被识别用于在未经授权的更改之前将数据恢复到其状态。

23. 发明申请

US20100250501A1 STORAGE MANAGEMENT THROUGH ADAPTIVE DEDUPLICATION 有权
标题翻译：存储管理通过自适应校验
公开(公告)号：US20100250501A1
公开(公告)日：2010-09-30
申请号：US12411902
申请日：2009-03-26
申请人： Nagapramod Mandagere , Mark A. Smith , Sandeep M. Uttamchandani , Pin Zhou
发明人： Nagapramod Mandagere , Mark A. Smith , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F12/02 , G06F12/00 , G06F17/30
CPC分类号： G06F17/30598 , G06F17/30489
摘要： One embodiment retrieves a first portion of a plurality of stored objects from at least one storage device. The embodiment further performs a base type deduplication estimation process on the first portion of stored objects. The embodiment still further categorizes the first portion of the plurality of stored objects into deduplication sets based on a deduplication relationship of each object of the plurality of stored objects with each of the estimated first plurality of deduplication chunk portions. The embodiment further combines deduplication sets into broad classes based on deduplication characteristics of the objects in the deduplication sets. The embodiment still further classifies a second portion of the plurality of stored objects into broad classes using classifiers. The embodiment further selects an appropriate deduplication approach for each categorized class.
摘要翻译：一个实施例从至少一个存储设备检索多个存储对象的第一部分。该实施例还对存储对象的第一部分执行基本类型的重复数据删除估计处理。该实施例还基于多个存储对象中的每个对象与所估计的第一多个重复数据删除块部分中的每一个的重复数据删除关系，进一步将多个存储对象的第一部分分类为重复数据删除集合。该实施例还将重复数据删除集合基于重复数据删除集中的对象的重复数据删除特性组合成大类。该实施例还使用分类器进一步将多个存储对象的第二部分分类为广泛类。该实施例进一步为每个分类的类选择适当的重复数据删除方法。

24. 发明授权

US07444272B2 Self-modulation in a model-based automated management framework 失效
标题翻译：基于模型的自动化管理框架中的自调制
公开(公告)号：US07444272B2
公开(公告)日：2008-10-28
申请号：US11250066
申请日：2005-10-13
申请人： Guillermo A. Alvarez , Linda M. Duyanovich , John D. Palmer , Sandeep M. Uttamchandani , Li Yin
发明人： Guillermo A. Alvarez , Linda M. Duyanovich , John D. Palmer , Sandeep M. Uttamchandani , Li Yin
IPC分类号： G06F17/10 , G06E1/00
CPC分类号： G05B17/02 , G05B13/042
摘要： Embodiments herein present a method, system, computer program product, etc. for automated management using a hybrid of prediction models and feedback-based systems. The method begins by calculating confidence values of models. Next, the method selects a first model based on the confidence values and processes the first model through a constraint solver to produce first workload throttling values. Following this, workloads are repeatedly processed through a feedback-based execution engine, wherein the feedback-based execution engine is controlled by the first workload throttling values. The first workload throttling values are applied incrementally to the feedback-based execution engine, during repetitions of the processing of the workloads, with a step-size that is proportional to the confidence values. The processing of the workloads is repeated until an objective function is maximized, wherein the objective function specifies performance goals of the workloads.
摘要翻译：本文的实施例提出了使用预测模型和基于反馈的系统的混合的自动化管理的方法，系统，计算机程序产品等。该方法从计算模型的置信度开始。接下来，该方法基于置信度值选择第一模型，并通过约束求解器处理第一模型以产生第一工作负载节流值。此后，通过基于反馈的执行引擎重复处理工作负载，其中基于反馈的执行引擎由第一工作负载节流值控制。在重复处理工作负载期间，第一个工作负载限制值将逐步应用于基于反馈的执行引擎，步长与置信度值成比例。重复处理工作负载直到目标函数最大化，其中目标函数指定工作负载的性能目标。

25. 发明申请

US20080262890A1 SYSTEM AND METHOD FOR SELECTING AND SCHEDULING CORRECTIVE ACTIONS FOR AUTOMATED STORAGE MANAGEMENT 失效
标题翻译：用于选择和调度自动存储管理的纠正措施的系统和方法
公开(公告)号：US20080262890A1
公开(公告)日：2008-10-23
申请号：US11737249
申请日：2007-04-19
申请人： Madhukar R. Korupolu , Sandeep M. Uttamchandani , Kaladhar Voruganti , Li Yin
发明人： Madhukar R. Korupolu , Sandeep M. Uttamchandani , Kaladhar Voruganti , Li Yin
IPC分类号： G06F9/44
CPC分类号： G06Q10/06312 , G06F11/0793 , G06Q10/06 , G06Q10/06316 , G06Q10/0635
摘要： Disclosed is a storage management framework that integrates corrective action plans output from multiple different types of planning tools, sorts the different corrective action plans based on utility and risk values and outputs a time-based schedule for implementing one or more of the corrective action plans to resolve identified current and anticipated workload service level objective (SLO) violations.
摘要翻译：公开了一种存储管理框架，其将来自多种不同类型的规划工具的校正行动计划的输出整合在一起，根据效用和风险值对不同的纠正行动计划进行排序，并输出基于时间的时间表，以执行一个或多个纠正措施计划解决当前和预期的工作负载服务级别目标（SLO）违规。

26. 发明授权

US09323639B2 Dynamic recommendation framework for information technology management 有权
标题翻译：信息技术管理动态推荐框架
公开(公告)号：US09323639B2
公开(公告)日：2016-04-26
申请号：US12556629
申请日：2009-09-10
申请人： Eben M. Haber , Tara L. Matthews , Chung-Hao Tan , Sandeep M. Uttamchandani
发明人： Eben M. Haber , Tara L. Matthews , Chung-Hao Tan , Sandeep M. Uttamchandani
IPC分类号： G06F11/34 , H04L12/24 , G06F19/00
CPC分类号： G06F9/5027 , G06F11/3409 , G06F19/00 , G06F2201/885 , G06F2209/503 , H04L41/14
摘要： A method, system, and article are provided for managing performance of a computer system. Both implicit and explicit recommendations for processing of tasks are provided. System performance is tracked and evaluated based upon the actions associated with the task. Future recommendations of the same or other tasks are provided based upon implicit feedback pertaining to system performance, and explicit feedback solicited from a system administrator.
摘要翻译：提供了一种方法，系统和文章来管理计算机系统的性能。提供了处理任务的隐式和明确建议。基于与任务相关联的动作跟踪和评估系统性能。基于与系统性能有关的隐含反馈以及从系统管理员征求的明确反馈来提供相同或其他任务的未来建议。

27. 发明授权

US08781800B2 Data de-duplication in computer storage systems 失效
标题翻译：计算机存储系统中的重复数据删除
公开(公告)号：US08781800B2
公开(公告)日：2014-07-15
申请号：US13286490
申请日：2011-11-01
申请人： Kavita Chavda , Eric W. Davis Rozier , Nagapramod S. Mandagere , Sandeep M. Uttamchandani , Pin Zhou
发明人： Kavita Chavda , Eric W. Davis Rozier , Nagapramod S. Mandagere , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F17/10
CPC分类号： G06F7/00 , G06F17/30159
摘要： Embodiments of the present invention provide an approach that utilizes discrete event simulation to quantitatively analyze the reliability of a modeled de-duplication system in a computer storage environment. In addition, the approach described herein can perform such an analysis on systems having heterogeneous data stored on heterogeneous storage systems in the presence of primary faults and their secondary effects due to de-duplication. In a typical embodiment, data de-duplication parameters and a hardware configuration are received in a computer storage medium. A data de-duplication model is then applied to a set of data and to the data de-duplication parameters, and a hardware reliability model is applied to the hardware configuration. Then a set (at least one) of discrete events is simulated based on the data de-duplication model as applied to the set of data and the data de-duplication parameters, and the hardware reliability model as applied to the hardware configuration. Based on the simulation, a set of data reliability and availability estimations/estimates can be generated (e.g., and outputted/provided).
摘要翻译：本发明的实施例提供一种利用离散事件模拟来定量分析计算机存储环境中的建模的重复数据删除系统的可靠性的方法。另外，本文描述的方法可以在存在主异构存在的异构存储系统上的具有异构数据的系统上进行这种分析，并且由于重复数据删除而产生其次要效应。在典型的实施例中，在计算机存储介质中接收数据重复数据删除参数和硬件配置。然后将数据重复数据删除模型应用于一组数据和重复数据删除参数，并将硬件可靠性模型应用于硬件配置。然后基于应用于数据集和数据重复数据删除参数的数据重复数据删除模型以及应用于硬件配置的硬件可靠性模型来模拟一组（至少一个）离散事件。基于该仿真，可以生成（例如和输出/提供）一组数据可靠性和可用性估计/估计。

28. 发明授权

US08527998B2 Continuous optimization of archive management scheduling by use of integrated content-resource analytic model 失效
标题翻译：通过使用综合内容资源分析模型持续优化归档管理调度
公开(公告)号：US08527998B2
公开(公告)日：2013-09-03
申请号：US13569620
申请日：2012-08-08
申请人： Brian Cho , Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
发明人： Brian Cho , Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F9/455 , G06F9/46 , G06F7/00
CPC分类号： G06F9/4881 , G06F11/1402
摘要： A system and associated method for continuously optimizing data archive management scheduling. A job scheduler receives, from an archive management system, inputs of task information, replica placement data, infrastructure topology data, and resource performance data. The job scheduler models a flow network that represents data content, software programs, physical devices, and communication capacity of the archive management system in various levels of vertices according to the received inputs. An optimal path in the modeled flow network is computed as an initial schedule, and the archive management system performs tasks according to the initial schedule. The operations of scheduled tasks are monitored and the job scheduler produces a new schedule based on feedbacks of the monitored operations and predefined heuristics.
摘要翻译：一种用于连续优化数据归档管理调度的系统和相关方法。作业调度器从归档管理系统接收任务信息，副本放置数据，基础架构拓扑数据和资源性能数据的输入。作业调度器根据接收到的输入来建立表示数据内容，软件程序，物理设备和档案管理系统在各种顶点级别中的通信能力的流网络。模拟流网络中的最优路径计算为初始调度，归档管理系统根据初始调度执行任务。监视计划任务的操作，作业调度程序根据监视的操作和预定义的启发式反馈来生成新的调度。

29. 发明申请

US20120109907A1 ON-DEMAND DATA DEDUPLICATION 审中-公开
标题翻译：需求数据分配
公开(公告)号：US20120109907A1
公开(公告)日：2012-05-03
申请号：US12916524
申请日：2010-10-30
申请人： Nagapramod S. Mandagere , David A. Pease , Sandeep M. Uttamchandani , Pin Zhou
发明人： Nagapramod S. Mandagere , David A. Pease , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F17/30
CPC分类号： G06F16/215
摘要： Embodiments of the invention relate to performing on-demand data deduplication for managing data and storage space. Redundant data in a system is detected. Availability of data storage space in the system is periodically evaluated. Performance parameters of the system are evaluated. Detected redundant data is selected based on the data storage availability and performance parameters of the system. If at least a portion of the selected redundant data is to be deduplicated is determined.
摘要翻译：本发明的实施例涉及执行用于管理数据和存储空间的按需重复数据删除。检测到系统中的冗余数据。定期评估系统中数据存储空间的可用性。对系统的性能参数进行评估。根据系统的数据存储可用性和性能参数选择检测到的冗余数据。如果确定了所选择的冗余数据的至少一部分被重复数据消除。

30. 发明授权

US07673189B2 Technique for mapping goal violations to anamolies within a system 有权
标题翻译：将目标违规行为映射到系统中的安全性的技术
公开(公告)号：US07673189B2
公开(公告)日：2010-03-02
申请号：US11347999
申请日：2006-02-06
申请人： Linda M. Duyanovich , Juan C. Gomez , Kristal T. Pollack , Sandeep M. Uttamchandani
发明人： Linda M. Duyanovich , Juan C. Gomez , Kristal T. Pollack , Sandeep M. Uttamchandani
IPC分类号： G06F11/00
CPC分类号： G06F11/3447 , G06F11/3485 , G06F2201/86
摘要： A computer and method for problem detection and determination for automated system management in a system, wherein the method comprises monitoring system state, workload, and performance parameters of the system; comparing the monitored parameters against normal system performance behavior of the system, wherein the normal system performance behavior is maintained as a mapping of a system state and workload-to-performance parameters; summarizing performance abnormalities at a specified layer in the system as computation and data-processing attributes, wherein the performance abnormalities comprise deviations from the normal system performance behavior; correlating the performance abnormalities across multiple layers in the system using an attribute-based framework; and communicating a root-cause of the performance abnormalities.
摘要翻译：一种用于系统中自动化系统管理的问题检测和确定的计算机和方法，其中所述方法包括监视系统的系统状态，工作负载和性能参数; 将所监视的参数与所述系统的正常系统性能行为进行比较，其中所述正常系统性能行为被维持为系统状态和工作负荷与性能参数的映射; 总结系统中指定层的性能异常，作为计算和数据处理属性，其中性能异常包括与正常系统性能行为的偏差; 使用基于属性的框架将系统中多个层的性能异常相关联; 并传达性能异常的根本原因。

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