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1. 发明申请

US20060069863A1 Model and system for reasoning with N-step lookahead in policy-based system management 失效
公开(公告)号：US20060069863A1
公开(公告)日：2006-03-30
申请号：US10954574
申请日：2004-09-30
申请人： John Palmer , Sandeep Uttamchandani , Kaladhar Voruganti
发明人： John Palmer , Sandeep Uttamchandani , Kaladhar Voruganti
IPC分类号： G06F12/00
CPC分类号： G06F3/0653 , G06F3/0605 , G06F3/0629 , G06F3/0683 , G06F11/3457
摘要： When an alarm condition relating to a performance goal of a storage system is detected, a storage management system invokes an N-step lookahead engine for simulating operation of the storage system when there are multiple actions that could be taken by the storage system for eliminating the alarm condition. The N-step lookahead engine generates N possible system states based on a current state of the storage system. The N possible states are based on a cost model of each of the multiple actions. Each cost model is based on an action, a behavior implication of the action, a resource implication of the action and a transient cost of the action. An action is selected that generates a system state that optimizes the stability, a prerequisite and a transient cost of invoking the selected action.

2. 发明申请

US20050188074A1 System and method for self-configuring and adaptive offload card architecture for TCP/IP and specialized protocols 审中-公开
标题翻译：用于TCP / IP和专用协议的自配置和自适应卸载卡架构的系统和方法
公开(公告)号：US20050188074A1
公开(公告)日：2005-08-25
申请号：US10754778
申请日：2004-01-09
申请人： Kaladhar Voruganti , Sandeep Uttamchandani , Piyush Shivam
发明人： Kaladhar Voruganti , Sandeep Uttamchandani , Piyush Shivam
IPC分类号： G06F15/173 , H04L29/06
CPC分类号： H04L69/12
摘要： An intelligent offload engine to configure protocol processing between a host and the intelligent offload engine in order to improve optimization of protocol processing is provided. The intelligent offload engine provides for evaluating the host and the host environment to identify system parameters associated with the host and a host bus adapter card, wherein the intelligent offload engine exists at the host bus adapter card. Also, the intelligent offload engine determines the ability of the host and the intelligent offload engine to perform protocol processing according to the identified system parameters. In addition, the intelligent offload engine determines an optimal protocol processing configuration between the host and the intelligent offload engine, according to the determined ability of the host to perform protocol processing and the intelligent offload engine ability to perform protocol processing. Moreover, the intelligent offload engine implements the determined optimal protocol processing configuration.
摘要翻译：提供了一种智能卸载引擎，用于配置主机和智能卸载引擎之间的协议处理，以提高协议处理的优化。智能卸载引擎用于评估主机和主机环境，以识别与主机和主机总线适配卡相关的系统参数，其中智能卸载引擎存在于主机总线适配器卡上。此外，智能卸载引擎确定主机和智能卸载引擎根据所识别的系统参数执行协议处理的能力。另外，智能卸载引擎根据主机执行协议处理的能力和智能卸载引擎执行协议处理的能力，确定主机与智能卸载引擎之间的最优协议处理配置。此外，智能卸载引擎执行确定的最佳协议处理配置。

3. 发明申请

US20060224550A1 Policy Based Resource Management for Legacy Data 失效
标题翻译：遗留资料的政策资源管理
公开(公告)号：US20060224550A1
公开(公告)日：2006-10-05
申请号：US10907427
申请日：2005-04-01
申请人： Sandeep Gopisetty , Norman Pass , Ramani Routray , Aameek Singh , Gauri Shah , Sandeep Uttamchandani , Kaladhar Voruganti
发明人： Sandeep Gopisetty , Norman Pass , Ramani Routray , Aameek Singh , Gauri Shah , Sandeep Uttamchandani , Kaladhar Voruganti
IPC分类号： G06F17/30
CPC分类号： G06F21/6236 , G06F17/30306 , G06F2221/2135 , G06F2221/2137
摘要： A policy-based resource management system provides an infrastructure that uses high-level definitions of data-types along with desired policy rules to manage legacy data. In particular, relevant legacy data is identified as well as the characteristics of storage devices where the legacy data resides. The storage management system determines what if any of the legacy data is stored in a manner that is non-compliant with the policy rules and corrects any violations. It generates corrective action plans, and then uses existing data migration software to migrate the data. Accordingly, the legacy data may be managed in a policy-based manner without requiring typical storage management software.
摘要翻译：基于策略的资源管理系统提供了使用数据类型的高级定义以及期望的策略规则来管理旧数据的基础设施。特别地，识别相关遗留数据以及遗留数据所在的存储设备的特性。存储管理系统确定如果有任何遗留数据以不符合策略规则的方式存储，并纠正任何违规行为。它生成纠正措施计划，然后使用现有的数据迁移软件迁移数据。因此，可以以基于策略的方式来管理遗留数据，而不需要典型的存储管理软件。

4. 发明申请

US20050132052A1 System and method for providing autonomic management of a networked system using an action-centric approach 失效
标题翻译：使用以行动为中心的方法提供联网系统的自主管理的系统和方法
公开(公告)号：US20050132052A1
公开(公告)日：2005-06-16
申请号：US10737519
申请日：2003-12-15
申请人： Sandeep Uttamchandani , Kaladhar Voruganti , Sudarshan Srinivasan , David Pease
发明人： Sandeep Uttamchandani , Kaladhar Voruganti , Sudarshan Srinivasan , David Pease
IPC分类号： H04L12/24 , G06F15/173 , G06F17/00 , G06N5/02
CPC分类号： H04L41/16 , H04L41/5003
摘要： According to the present invention, there is provided a SAN management system to provide autonomic management of a storage system using an action-centric approach. The SAN management system includes a policy specification logic block to maintain a policy specification associated with the managed system. In addition, the SAN management system includes a reasoning logic block to provide for the determining of action rules using a combination of logic and information obtained from the policy specification. Also, the SAN management system includes a learning logic block to couple the policy specification logic block with the reasoning logic block to improve an understanding of a managed system. The learning is continuous and provides for autonomic evolvement of the system in which reliance on manual input from a user is lessened.
摘要翻译：根据本发明，提供了一种使用以行动为中心的方法来提供存储系统的自主管理的SAN管理系统。 SAN管理系统包括策略规范逻辑块，用于维护与被管理系统相关联的策略规范。另外，SAN管理系统包括推理逻辑块，以使用逻辑和从策略规范获得的信息的组合来提供动作规则的确定。此外，SAN管理系统还包括学习逻辑块，用于将策略规范逻辑块与推理逻辑块耦合，以提高对被管理系统的理解。学习是连续的，并且提供了系统的自主发展，其中减轻了对用户的手动输入的依赖。

5. 发明授权

US07685165B2 Policy based resource management for legacy data 失效
标题翻译：遗留数据的基于策略的资源管理
公开(公告)号：US07685165B2
公开(公告)日：2010-03-23
申请号：US10907427
申请日：2005-04-01
申请人： Sandeep Gopisetty , Norman Jerome Pass , Ramani Routray , Aameek Singh , Gauri Shah , Sandeep Uttamchandani , Kaladhar Voruganti
发明人： Sandeep Gopisetty , Norman Jerome Pass , Ramani Routray , Aameek Singh , Gauri Shah , Sandeep Uttamchandani , Kaladhar Voruganti
IPC分类号： G06F12/00
CPC分类号： G06F21/6236 , G06F17/30306 , G06F2221/2135 , G06F2221/2137
摘要： A policy-based resource management system provides an infrastructure that uses high-level definitions of data-types along with desired policy rules to manage legacy data. In particular, relevant legacy data is identified as well as the characteristics of storage devices where the legacy data resides. The storage management system determines what if any of the legacy data is stored in a manner that is non-compliant with the policy rules and corrects any violations. It generates corrective action plans, and then uses existing data migration software to migrate the data. Accordingly, the legacy data may be managed in a policy-based manner without requiring typical storage management software.
摘要翻译：基于策略的资源管理系统提供了使用数据类型的高级定义以及期望的策略规则来管理旧数据的基础设施。特别地，识别相关遗留数据以及遗留数据所在的存储设备的特性。存储管理系统确定如果有任何遗留数据以不符合策略规则的方式存储，并纠正任何违规行为。它生成纠正措施计划，然后使用现有的数据迁移软件迁移数据。因此，可以以基于策略的方式来管理遗留数据，而不需要典型的存储管理软件。

6. 发明申请

US20070088532A1 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：US20070088532A1
公开(公告)日：2007-04-19
申请号：US11250066
申请日：2005-10-13
申请人： Guillermo Alvarez , Linda Duyanovich , John Palmer , Sandeep Uttamchandani , Li Yin
发明人： Guillermo Alvarez , Linda Duyanovich , John Palmer , Sandeep Uttamchandani , Li Yin
IPC分类号： G06F17/10
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。

7. 发明申请

US20070112723A1 Approach based on self-evolving models for performance guarantees in a shared storage system 失效
标题翻译：在共享存储系统中基于自演进模型进行性能保证的方法
公开(公告)号：US20070112723A1
公开(公告)日：2007-05-17
申请号：US11280012
申请日：2005-11-16
申请人： Guillermo Alvarez , John Palmer , Sandeep Uttamchandani , Li Yin
发明人： Guillermo Alvarez , John Palmer , Sandeep Uttamchandani , Li Yin
IPC分类号： G06F17/30
CPC分类号： G06F9/50 , G06F9/5083 , Y10S707/99932
摘要： A technique of allocating shared resources in a computer network-based storage system comprises taking periodic performance samples on a running storage system; evaluating an objective function that takes as input the performance samples to quantify how aligned a current state of the storage system is with organizational objectives; building and maintaining models of behavior and capabilities of the storage system by using the performance samples as input; determining how resources of the storage system should be allocated among client computers in the storage system by selecting one among many possible allocations based on predictions generated by the models in order to maximize a value of the objective function; calculating a confidence statistic value for a chosen resource allocation based on an accuracy of the models; and enforcing the chosen resource allocation on the running storage system when the confidence statistic value is at or above a predetermined threshold value.
摘要翻译：在基于计算机网络的存储系统中分配共享资源的技术包括在正在运行的存储系统上采取周期性的性能样本; 评估一个目标函数，作为输入性能样本，以量化存储系统的当前状态与组织目标的一致性; 通过使用性能样本作为输入，建立和维护存储系统的行为和功能模型; 通过基于由模型生成的预测来选择许多可能的分配中的一个，以便最大化目标函数的值来确定应该在存储系统中的客户端计算机之间分配存储系统的资源; 基于模型的精度计算所选资源分配的置信度统计值; 以及当所述置信度统计值处于或高于预定阈值时，在所述运行存储系统上执行所选择的资源分配。

8. 发明申请

US20070022142A1 System and method to generate domain knowledge for automated system management by combining designer specifications with data mining activity 审中-公开
标题翻译：通过将设计师规范与数据挖掘活动相结合，生成用于自动化系统管理的领域知识的系统和方法
公开(公告)号：US20070022142A1
公开(公告)日：2007-01-25
申请号：US11185645
申请日：2005-07-20
申请人： John Palmer , Sandeep Uttamchandani , Xiaoxin Yin
发明人： John Palmer , Sandeep Uttamchandani , Xiaoxin Yin
IPC分类号： G06F17/30
CPC分类号： G06Q10/06
摘要： A system and method of creating domain knowledge-base models required for automated system management, wherein the method comprises defining data storage system designer specifications comprising input/output parameters; analyzing a runtime system performance log of a data storage system; identifying relationship functions between different ones of the input/output parameters; deriving knowledge-base models from the designer specifications, the runtime system performance log, and the relationship functions; refining the knowledge-base models at system runtime using newly monitored system performance logs; and improving the accuracy of the knowledge-base models by detecting incomplete designer specifications, wherein the knowledge-base models are preferably generated by data mining techniques.
摘要翻译：一种创建自动化系统管理所需的领域知识库模型的系统和方法，其中所述方法包括定义包括输入/输出参数的数据存储系统设计者规范; 分析数据存储系统的运行时系统性能日志; 识别不同输入/输出参数之间的关系函数; 从设计者规范，运行时系统性能日志和关系函数导出知识库模型; 使用新监视的系统性能日志在系统运行时改进知识库模型; 并通过检测不完整的设计者规范来提高知识库模型的准确性，其中知识库模型优选地通过数据挖掘技术生成。

9. 发明授权

US08103824B2 Method for self optimizing value based data allocation across a multi-tier storage system 失效
标题翻译：跨多层存储系统自我优化基于数据的数据分配方法
公开(公告)号：US08103824B2
公开(公告)日：2012-01-24
申请号：US12105245
申请日：2008-04-17
申请人： Kristal Pollack , Elizabeth Richards , Sandeep Uttamchandani
发明人： Kristal Pollack , Elizabeth Richards , Sandeep Uttamchandani
IPC分类号： G06F12/00 , G06F13/00 , G06F13/28
CPC分类号： G06F3/0631 , G06F3/0605 , G06F3/0685
摘要： A method, apparatus, and article of manufacture are provided to support dynamic assignment of data from a continuous stream of data to one or more storage devices in a storage network. The storage network is configured with one or more tiers in a hierarchy, with at least one storage device in each tier. Similarly, the storage network is in communication with both a storage manager and a data manager. The storage manager sorts the storage devices, maintains a demand function of each device, and calculates a burn rate for each storage device. The data manager is in communication with the storage manager and assigns data from the received stream of data to at least one of the storage devices.
摘要翻译：提供了一种方法，装置和制品，以支持将数据从连续数据流动动态分配到存储网络中的一个或多个存储设备。存储网络被配置为具有层级中的一个或多个层级，每层中至少有一个存储设备。类似地，存储网络与存储管理器和数据管理器都通信。存储管理器对存储设备进行排序，维护每个设备的需求功能，并计算每个存储设备的刻录速率。数据管理器与存储管理器进行通信，并将数据从所接收的数据流分配给至少一个存储设备。

10. 发明申请

US20090327618A1 Method for Self Optimizing Value Based Data Allocation Across A Multi-Tier Storage System 失效
标题翻译：在多层次存储系统中自我优化基于价值的数据分配方法
公开(公告)号：US20090327618A1
公开(公告)日：2009-12-31
申请号：US12105245
申请日：2008-04-17
申请人： Kristal Pollack , Elizabeth Richards , Sandeep Uttamchandani
发明人： Kristal Pollack , Elizabeth Richards , Sandeep Uttamchandani
IPC分类号： G06F12/00 , G06F15/173 , G06F12/02
CPC分类号： G06F3/0631 , G06F3/0605 , G06F3/0685
摘要： A method, apparatus, and article of manufacture are provided to support dynamic assignment of data from a continuous stream of data to one or more storage devices in a storage network. The storage network is configured with one or more tiers in a hierarchy, with at least one storage device in each tier. Similarly, the storage network is in communication with both a storage manager and a data manager. The storage manager sorts the storage devices, maintains a demand function of each device, and calculates a burn rate for each storage device. The data manager is in communication with the storage manager and assigns data from the received stream of data to at least one of the storage devices.
摘要翻译：提供了一种方法，装置和制品，以支持将数据从连续数据流动动态分配到存储网络中的一个或多个存储设备。存储网络被配置为具有层级中的一个或多个层级，每层中至少有一个存储设备。类似地，存储网络与存储管理器和数据管理器都通信。存储管理器对存储设备进行排序，维护每个设备的需求功能，并计算每个存储设备的刻录速率。数据管理器与存储管理器进行通信，并将数据从所接收的数据流分配给至少一个存储设备。

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