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1. 发明授权

US06490572B2 Optimization prediction for industrial processes 失效
标题翻译：工业过程的优化预测
公开(公告)号：US06490572B2
公开(公告)日：2002-12-03
申请号：US09080320
申请日：1998-05-15
申请人： Rama Kalyani Tirumala Akkiraju , Brenda Lynn Dietrich , Pinar Keskinocak , Seshashayee Sankarshana Murthy , John Nathan Rachlin , Frederick Yung-Fung Wu
发明人： Rama Kalyani Tirumala Akkiraju , Brenda Lynn Dietrich , Pinar Keskinocak , Seshashayee Sankarshana Murthy , John Nathan Rachlin , Frederick Yung-Fung Wu
IPC分类号： G06F1518
CPC分类号： G06Q10/04
摘要： Prediction methods that anticipate the outcome of a detailed optimization step are used in lieu of or in conjunction with actual optimization to improve response time and reduce required computational resources for optimization problems having a hierarchical structure. Decomposition of the optimization problem into sub-problems and sub-sub-problems is, itself, an optimization process which is iteratively performed while preferably guided by prediction of the quality of solutions to the problems into which the “master” optimization problem may be decomposed. Prediction also reduces the requirements for computational resources and allows more decompositions to be examined within the available time in order to arrive at a more nearly optimal decomposition as well as a more nearly optimal solution. Prediction is selectively used when it is determined that such a benefit is probable.
摘要翻译：使用预测详细优化步骤的结果的预测方法代替或结合实际优化来改进响应时间并减少具有分层结构的优化问题所需的计算资源。将优化问题分解为子问题和子子问题本身就是迭代执行的优化过程，同时优选地通过预测“主”优化问题可能被分解的问题的解决方案的质量来指导。预测还减少了对计算资源的要求，并允许在可用时间内对更多的分解进行检查，以获得更接近最优的分解以及更接近最优解。当确定这样的益处是可能的时候，选择性地使用预测。

2. 发明授权

US5940816A Multi-objective decision-support methodology 失效
标题翻译：多目标决策支持方法
公开(公告)号：US5940816A
公开(公告)日：1999-08-17
申请号：US790641
申请日：1997-01-29
申请人： Robert Mack Fuhrer , Raymond T. Henry , Rama Kalyani T. Akkiraju , Robin Lougee-Heimer , Seshashayee Sankarshana Murthy , John Nathan Rachlin , Martin C. Sturzenbecker , Frederick Yung-Fung Wu
发明人： Robert Mack Fuhrer , Raymond T. Henry , Rama Kalyani T. Akkiraju , Robin Lougee-Heimer , Seshashayee Sankarshana Murthy , John Nathan Rachlin , Martin C. Sturzenbecker , Frederick Yung-Fung Wu
IPC分类号： G06F9/44 , B65G61/00 , G06F15/18 , G06N5/04 , G06Q10/06 , G06Q90/00
CPC分类号： G06Q10/06 , G06N99/005
摘要： A method for effecting computer implemented decision support. The method can improve on a candidate solution by allowing problem solving methods to cooperate towards the creation of a more desirable solution. The method can realize an enhanced understanding of tradeoffs inherent in competing objectives, and can incorporate factors or special considerations not easily specified, by enabling the decision maker to actively participate in the creation of a more desirable solution.
摘要翻译：一种实现计算机实现决策支持的方法。该方法可以通过允许解决问题的方法来协助创建更理想的解决方案来改进候选解决方案。该方法可以增强对竞争目标固有的权衡的理解，并且可以通过使决策者积极参与创建更理想的解决方案，并入不容易指定的因素或特殊考虑因素。

3. 发明授权

US10203993B2 Method and system for continuous optimization of data centers by combining server and storage virtualization 有权
公开(公告)号：US10203993B2
公开(公告)日：2019-02-12
申请号：US12388404
申请日：2009-02-18
申请人： Sandeep Gopisetty , Madhukar R. Korupolu , Dushmanta Mohapatra , Seshashayee Sankarshana Murthy , Aameek Singh
发明人： Sandeep Gopisetty , Madhukar R. Korupolu , Dushmanta Mohapatra , Seshashayee Sankarshana Murthy , Aameek Singh
IPC分类号： G06F9/50
摘要： The invention provides a method and system for continuous optimization of a data center. The method includes monitoring loads of storage modules, server modules and switch modules in the data center, detecting an overload condition upon a load exceeding a load threshold, combining server and storage virtualization to address storage overloads by planning allocation migration between the storage modules, to address server overloads by planning allocation migration between the server modules, to address switch overloads by planning allocation migration mix between server modules and storage modules for overload reduction, and orchestrating the planned allocation migration to reduce the overload condition in the data center.

4. 发明申请

US20100211956A1 METHOD AND SYSTEM FOR CONTINUOUS OPTIMIZATION OF DATA CENTERS BY COMBINING SERVER AND STORAGE VIRTUALIZATION 审中-公开
标题翻译：通过组合服务器和存储虚拟化连续优化数据中心的方法和系统
公开(公告)号：US20100211956A1
公开(公告)日：2010-08-19
申请号：US12388404
申请日：2009-02-18
申请人： Sandeep Gopisetty , Madhukar R. Korupolu , Dushmanta Mohapatra , Seshashayee Sankarshana Murthy , Aameek Singh
发明人： Sandeep Gopisetty , Madhukar R. Korupolu , Dushmanta Mohapatra , Seshashayee Sankarshana Murthy , Aameek Singh
IPC分类号： G06F9/50
CPC分类号： G06F9/5088 , G06F9/505
摘要： The invention provides a method and system for continuous optimization of a data center. The method includes monitoring loads of storage modules, server modules and switch modules in the data center, detecting an overload condition upon a load exceeding a load threshold, combining server and storage virtualization to address storage overloads by planning allocation migration between the storage modules, to address server overloads by planning allocation migration between the server modules, to address switch overloads by planning allocation migration mix between server modules and storage modules for overload reduction, and orchestrating the planned allocation migration to reduce the overload condition in the data center.
摘要翻译：本发明提供了一种数据中心连续优化的方法和系统。该方法包括监视数据中心中的存储模块，服务器模块和交换机模块的负载，在负载超过负载阈值时检测过载状况，通过计划存储模块之间的分配迁移，结合服务器和存储虚拟化来解决存储过载问题，地址服务器通过规划服务器模块之间的分配迁移来过载，通过规划服务器模块和存储模块之间的分配迁移组合来解决交换机过载，从而实现过载降级，并编排计划的分配迁移以减少数据中心的过载状况。

5. 发明申请

US20110167424A1 INTEGRATED DIFFERENTIATED OPERATION THROTTLING 失效
标题翻译：集成差分运算曲线
公开(公告)号：US20110167424A1
公开(公告)日：2011-07-07
申请号：US12683512
申请日：2010-01-07
申请人： Seshashayee Sankarshana Murthy , Ramani Ranjan Routray , Sandeep Madhav Uttamchandani
发明人： Seshashayee Sankarshana Murthy , Ramani Ranjan Routray , Sandeep Madhav Uttamchandani
IPC分类号： G06F9/46
CPC分类号： G06F9/4881
摘要： A method and system for throttling a plurality of operations of a plurality of applications that share a plurality of resources. A difference between observed and predicted workloads is computed. If the difference does not exceed a threshold, a multi-strategy finder operates in normal mode and applies a recursive greedy pruning process with a look-back and look-forward optimization to select actions for a final schedule of actions that improve the utility of a data storage system. If the difference exceeds the threshold, the multi-strategy finder operates in unexpected mode and applies a defensive action selection process to select actions for the final schedule. The selected actions are performed according to the final schedule and include throttling of a CPU, network, and/or storage.
摘要翻译：一种用于调节共享多个资源的多个应用程序的多个操作的方法和系统。计算观察值和预测工作量之间的差异。如果差异不超过阈值，则多策略查找器以正常模式运行，并应用递归式贪婪修剪过程，具有回溯和前瞻优化，以选择最终的行动计划的动作，从而提高效用数据存储系统。如果差异超过阈值，则多策略查找器以意外模式运行，并应用防御动作选择过程来选择最终进度的动作。所选择的操作根据最终进度执行，并包括CPU，网络和/或存储器的调节。

6. 发明申请

US20110010343A1 OPTIMIZATION AND STAGING METHOD AND SYSTEM 失效
标题翻译：优化和分析方法与系统
公开(公告)号：US20110010343A1
公开(公告)日：2011-01-13
申请号：US12501604
申请日：2009-07-13
申请人： Kavita Chavda , Mickey Iqbal , Seshashayee Sankarshana Murthy , Sandeep Madhav Uttamchandani
发明人： Kavita Chavda , Mickey Iqbal , Seshashayee Sankarshana Murthy , Sandeep Madhav Uttamchandani
IPC分类号： G06F17/30
CPC分类号： G06F17/30424
摘要： An optimization method and system. The method includes receiving by a computing system a data footprint associated with data and a human resource model. The data footprint comprises a primary data section, a secondary data section, and an archive data section. A plurality of data storage strategies are associated with the primary data section, said secondary data section, and said archive data section. The plurality of data storage strategies are compared to each other. A data staging orchestrator software module is executed. The computing system determines based on results of executing the data staging orchestrator software module, an optimal migration time, an optimal migration speed, and an optimal migration cost for managing storage for portions of the data. The computing system executes a risk modulation software module and determines a risk associated with the managing.
摘要翻译：一种优化方法和系统。该方法包括由计算系统接收与数据相关联的数据空间和人力资源模型。数据占用包括主要数据部分，次要数据部分和归档数据部分。多个数据存储策略与主数据部分，所述次数据部分和所述归档数据部分相关联。将多个数据存储策略相互比较。执行数据分段管理软件模块。计算系统基于执行数据分期管理软件模块的结果，最佳迁移时间，最佳迁移速度以及用于管理部分数据的存储的最佳迁移成本来确定。计算系统执行风险调整软件模块并确定与管理相关的风险。

7. 发明授权

US08433675B2 Optimization and staging 失效
标题翻译：优化和分期
公开(公告)号：US08433675B2
公开(公告)日：2013-04-30
申请号：US13433552
申请日：2012-03-29
申请人： Kavita Chavda , Mickey Iqbal , Seshashayee Sankarshana Murthy , Sandeep Madhav Uttamchandani
发明人： Kavita Chavda , Mickey Iqbal , Seshashayee Sankarshana Murthy , Sandeep Madhav Uttamchandani
IPC分类号： G06F17/30
CPC分类号： G06F17/30424
摘要： An optimization method and system. The method includes receiving by a computing system a data footprint associated with data and a human resource model. The data footprint comprises a primary data section, a secondary data section, and an archive data section. A plurality of data storage strategies are associated with the primary data section, said secondary data section, and said archive data section. The plurality of data storage strategies are compared to each other. A data staging orchestrator software module is executed. The computing system determines based on results of executing the data staging orchestrator software module, an optimal migration time, an optimal migration speed, and an optimal migration cost for managing storage for portions of the data. The computing system executes a risk modulation software module and determines a risk associated with the managing.
摘要翻译：一种优化方法和系统。该方法包括由计算系统接收与数据相关联的数据空间和人力资源模型。数据占用包括主要数据部分，次要数据部分和归档数据部分。多个数据存储策略与主数据部分，所述次数据部分和所述归档数据部分相关联。将多个数据存储策略相互比较。执行数据分段管理软件模块。计算系统基于执行数据分期管理软件模块的结果，最佳迁移时间，最佳迁移速度以及用于管理部分数据的存储的最佳迁移成本来确定。计算系统执行风险调整软件模块并确定与管理相关的风险。

8. 发明授权

US08214327B2 Optimization and staging method and system 失效
标题翻译：优化和分期方法和系统
公开(公告)号：US08214327B2
公开(公告)日：2012-07-03
申请号：US12501604
申请日：2009-07-13
申请人： Kavita Chavda , Mickey Iqbal , Seshashayee Sankarshana Murthy , Sandeep Madhav Uttamchandani
发明人： Kavita Chavda , Mickey Iqbal , Seshashayee Sankarshana Murthy , Sandeep Madhav Uttamchandani
IPC分类号： G06F17/30
CPC分类号： G06F17/30424
摘要： An optimization method and system. The method includes receiving by a computing system a data footprint associated with data and a human resource model. The data footprint comprises a primary data section, a secondary data section, and an archive data section. A plurality of data storage strategies are associated with the primary data section, said secondary data section, and said archive data section. The plurality of data storage strategies are compared to each other. A data staging orchestrator software module is executed. The computing system determines based on results of executing the data staging orchestrator software module, an optimal migration time, an optimal migration speed, and an optimal migration cost for managing storage for portions of the data. The computing system executes a risk modulation software module and determines a risk associated with the managing.
摘要翻译：一种优化方法和系统。该方法包括由计算系统接收与数据相关联的数据空间和人力资源模型。数据占用包括主要数据部分，次要数据部分和归档数据部分。多个数据存储策略与主数据部分，所述次数据部分和所述归档数据部分相关联。将多个数据存储策略相互比较。执行数据分段管理软件模块。计算系统基于执行数据分期管理软件模块的结果，最佳迁移时间，最佳迁移速度以及用于管理部分数据的存储的最佳迁移成本来确定。计算系统执行风险调整软件模块并确定与管理相关的风险。

9. 发明授权

US08527996B2 Method and system for performing a combination of throttling server, throttling network and throttling a data storage device by employing first, second and third single action tools 失效
标题翻译：用于执行节流服务器，节流网络和通过采用第一，第二和第三单个动作工具来限制数据存储设备的组合的方法和系统
公开(公告)号：US08527996B2
公开(公告)日：2013-09-03
申请号：US12683512
申请日：2010-01-07
申请人： Seshashayee Sankarshana Murthy , Ramani Ranjan Routray , Sandeep Madhav Uttamchandani
发明人： Seshashayee Sankarshana Murthy , Ramani Ranjan Routray , Sandeep Madhav Uttamchandani
IPC分类号： G06F9/46
CPC分类号： G06F9/4881
摘要： A method and system for throttling a plurality of operations of a plurality of applications that share a plurality of resources. A difference between observed and predicted workloads is computed. If the difference does not exceed a threshold, a multi-strategy finder operates in normal mode and applies a recursive greedy pruning process with a look-back and look-forward optimization to select actions for a final schedule of actions that improve the utility of a data storage system. If the difference exceeds the threshold, the multi-strategy finder operates in unexpected mode and applies a defensive action selection process to select actions for the final schedule. The selected actions are performed according to the final schedule and include throttling of a CPU, network, and/or storage.
摘要翻译：一种用于调节共享多个资源的多个应用程序的多个操作的方法和系统。计算观察值和预测工作量之间的差异。如果差异不超过阈值，则多策略查找器以正常模式运行，并应用递归式贪婪修剪过程，具有回溯和前瞻优化，以选择最终的行动计划的动作，从而提高效用数据存储系统。如果差异超过阈值，则多策略查找器以意外模式运行，并应用防御动作选择过程来选择最终进度的动作。所选择的操作根据最终进度执行，并包括CPU，网络和/或存储器的调节。

10. 发明申请

US20120191661A1 OPTIMIZATION AND STAGING 失效
标题翻译：优化和分类
公开(公告)号：US20120191661A1
公开(公告)日：2012-07-26
申请号：US13433552
申请日：2012-03-29
申请人： Kavita Chavda , Mickey Iqbal , Seshashayee Sankarshana Murthy , Sandeep Madhav Uttamchandani
发明人： Kavita Chavda , Mickey Iqbal , Seshashayee Sankarshana Murthy , Sandeep Madhav Uttamchandani
IPC分类号： G06F17/30
CPC分类号： G06F17/30424
摘要： An optimization method and system. The method includes receiving by a computing system a data footprint associated with data and a human resource model. The data footprint comprises a primary data section, a secondary data section, and an archive data section. A plurality of data storage strategies are associated with the primary data section, said secondary data section, and said archive data section. The plurality of data storage strategies are compared to each other. A data staging orchestrator software module is executed. The computing system determines based on results of executing the data staging orchestrator software module, an optimal migration time, an optimal migration speed, and an optimal migration cost for managing storage for portions of the data. The computing system executes a risk modulation software module and determines a risk associated with the managing.
摘要翻译：一种优化方法和系统。该方法包括由计算系统接收与数据相关联的数据空间和人力资源模型。数据占用包括主要数据部分，次要数据部分和归档数据部分。多个数据存储策略与主数据部分，所述次数据部分和所述归档数据部分相关联。将多个数据存储策略相互比较。执行数据分段管理软件模块。计算系统基于执行数据分期管理软件模块的结果，最佳迁移时间，最佳迁移速度以及用于管理部分数据的存储的最佳迁移成本来确定。计算系统执行风险调整软件模块并确定与管理相关的风险。

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