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1. 发明授权

US08341623B2 Integrated placement planning for heterogenous storage area network data centers 有权
标题翻译：异构存储区域网络数据中心综合布局规划
公开(公告)号：US08341623B2
公开(公告)日：2012-12-25
申请号：US11752292
申请日：2007-05-22
申请人： Madhukar R. Korupolu , Aameek Singh , Bhuvan Bamba , Prashant Pandey , Kaladhar Voruganti
发明人： Madhukar R. Korupolu , Aameek Singh , Bhuvan Bamba , Prashant Pandey , Kaladhar Voruganti
IPC分类号： G06F9/455
CPC分类号： G06F9/5066 , G06F9/5077 , H04L67/1002 , H04L67/1008 , H04L67/101 , H04L67/1021 , H04L67/1023 , H04L67/1097
摘要： A storage placement planning system receives a resource graph describing SAN's resources and virtual machine applications requiring a particular amount of a processing resource element and a storage resource element. The system then determines a coupled placement of the processing element and storage element for each of the applications on a coupled pair of the resource nodes based on a specified throughput and a distance factor between coupled pairs of resource nodes. The coupled placement is determined using an algorithm that implements a cost function that determines affinities between processing nodes and storage nodes for each of said applications of a particular workload. The coupled placement for each of said applications identifies the particular amount of processing resource element placed on a first node for providing a processing resource and the particular amount of storage resource element placed on a second node for providing a storage resource for that application.
摘要翻译：存储布局规划系统接收描述SAN的资源和虚拟机应用的资源图，该应用需要特定数量的处理资源元素和存储资源元素。然后，系统基于指定的吞吐量和耦合的资源节点对之间的距离因子，确定在耦合的资源节点对上的每个应用的处理元件和存储元件的耦合放置。使用实现成本函数的算法确定耦合放置，所述成本函数确定特定工作负载的每个所述应用的处理节点和存储节点之间的亲和度。用于每个所述应用的耦合放置识别放置在第一节点上的处理资源元素的特定量，用于提供处理资源以及放置在第二节点上的特定数量的存储资源元素，以为该应用提供存储资源。

2. 发明授权

US07519624B2 Method for proactive impact analysis of policy-based storage systems 失效
标题翻译：基于策略的存储系统进行主动影响分析的方法
公开(公告)号：US07519624B2
公开(公告)日：2009-04-14
申请号：US11281739
申请日：2005-11-16
申请人： Madhukar R. Korupolu , Aameek Singh , Kaladhar Voruganti
发明人： Madhukar R. Korupolu , Aameek Singh , Kaladhar Voruganti
IPC分类号： G06F12/00 , G06F17/30 , G06F15/173
CPC分类号： G06F3/0637 , G06F3/0605 , G06F3/067
摘要： A system efficiently and proactively assesses the impact of user's actions on a network storage system. The system generally operates on a storage area network that includes a database represented by states and policies, before the user action is executed. The system comprises a storage monitor that captures a snapshot of the database states. An impact analysis module of the system then applies a user action to the snapshot; and further selectively applies at least some of the policies to the snapshot. The impact analysis module simulates the user action on the snapshot without applying actually changes to the database, and further analyzes whether the simulated user action violates at least one applied policy. The system takes the appropriate action based on the result of the analysis.
摘要翻译：系统有效地主动评估用户对网络存储系统的影响。在执行用户操作之前，系统通常在包括由状态和策略表示的数据库的存储区域网络上操作。该系统包括捕获数据库状态的快照的存储监视器。然后系统的影响分析模块将用户操作应用于快照; 并进一步选择性地将快照中的至少一些策略应用于快照。影响分析模块模拟快照上的用户操作，而不对数据库进行实际更改，并进一步分析模拟用户操作是否违反至少一个应用策略。系统根据分析结果采取适当的措施。

3. 发明授权

US09424094B2 Server consolidation using virtual machine resource tradeoffs 有权
标题翻译：使用虚拟机资源权衡的服务器整合
公开(公告)号：US09424094B2
公开(公告)日：2016-08-23
申请号：US12476061
申请日：2009-06-01
申请人： Michael D. Cardosa , Sandeep Gopisetty , Madhukar R. Korupolu , Aameek Singh
发明人： Michael D. Cardosa , Sandeep Gopisetty , Madhukar R. Korupolu , Aameek Singh
IPC分类号： G06F15/173 , G06F9/50 , G06F9/455
CPC分类号： G06F9/5077 , G06F9/45541 , G06F9/45558 , G06F9/5038 , G06F9/5044 , G06F9/5094 , G06F2009/4557 , G06F2009/45595 , G06F2209/5014 , G06F2209/504 , Y02D10/22
摘要： Server consolidation using virtual machine resource tradeoffs, is provided. One implementation involves assigning a virtual machine to a target physical server based on a plurality of virtualization parameters for maximizing utility of a plurality of virtual machines and physical servers. The assigning performs resource allocation for the virtual machine based on capabilities of the target physical server and a plurality of virtual machine resource requirements. Virtualization parameters include a reservation parameter (min) representing a minimum resources required for a VM, a limit parameter (max) representing a maximum resources allowable for the VM, and a weight parameter (shares) representing a share of spare resources for the VM.
摘要翻译：提供了使用虚拟机资源权衡的服务器整合。一个实现包括基于用于最大化多个虚拟机和物理服务器的效用的多个虚拟化参数将虚拟机分配给目标物理服务器。该分配基于目标物理服务器的能力和多个虚拟机资源需求来执行虚拟机的资源分配。虚拟化参数包括表示VM所需的最小资源的预留参数（min），表示VM允许的最大资源的限制参数（max）以及表示VM的备用资源份额的权重参数（共享）。

4. 发明申请

US20080291204A1 COUPLED PLACEMENT OF ITEMS USING STABLE MARRIAGE TECHNIQUES 审中-公开
标题翻译：使用稳定的婚姻技术联合放置物品
公开(公告)号：US20080291204A1
公开(公告)日：2008-11-27
申请号：US11752288
申请日：2007-05-22
申请人： Madhukar R. Korupolu , Aameek Singh
发明人： Madhukar R. Korupolu , Aameek Singh
IPC分类号： G06T11/20
CPC分类号： G06T11/206
摘要： A program and method are disclosed for placing coupled items in a resource graph using stable marriage techniques. Each coupled item requires resources of a first resource and a second resource in a resource graph. The resource nodes in the graph provide either the first resource or the second resource or both. Coupled placement defines each item as having two elements, one representing the first resource requirement and the other representing the second resource requirement, which must be placed on a pair of connected resource nodes. The objective is to place the coupled item elements among nodes of the resource graph without exceeding the first resource capacities and second resource capacities at resource nodes while keeping the total cost over all items small. A stable marriage process guides the placement that may also employ knapsacking of multiple elements on resource nodes and a swapping analysis to further optimize placement.
摘要翻译：公开了一种使用稳定的结婚技术将耦合的物品放置在资源图中的程序和方法。每个耦合的项目需要资源图中的第一资源和第二资源的资源。图中的资源节点提供第一资源或第二资源或两者。耦合放置将每个项目定义为具有两个元素，一个表示第一个资源需求，另一个表示第二个资源需求，另一个元素必须放在一对连接的资源节点上。目的是将资源图形的节点之间的耦合项目元素放置在资源节点的第一资源容量和资源节点的第二资源容量上，同时保持所有项目的总成本较小。一个稳定的结婚过程指导了可能在资源节点上搭载多个元素并进行交换分析来进一步优化展示位置。

5. 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.

6. 发明申请

US20100306382A1 SERVER CONSOLIDATION USING VIRTUAL MACHINE RESOURCE TRADEOFFS 有权
标题翻译：使用虚拟机资源贸易的服务器整合
公开(公告)号：US20100306382A1
公开(公告)日：2010-12-02
申请号：US12476061
申请日：2009-06-01
申请人： Michael D. Cardosa , Sandeep Gopisetty , Madhukar R. Korupolu , Aameek Singh
发明人： Michael D. Cardosa , Sandeep Gopisetty , Madhukar R. Korupolu , Aameek Singh
IPC分类号： G06F15/173 , G06F9/455
CPC分类号： G06F9/5077 , G06F9/45541 , G06F9/45558 , G06F9/5038 , G06F9/5044 , G06F9/5094 , G06F2009/4557 , G06F2009/45595 , G06F2209/5014 , G06F2209/504 , Y02D10/22
摘要： Server consolidation using virtual machine resource tradeoffs, is provided. One implementation involves assigning a virtual machine to a target physical server based on a plurality of virtualization parameters for maximizing utility of a plurality of virtual machines and physical servers. The assigning performs resource allocation for the virtual machine based on capabilities of the target physical server and a plurality of virtual machine resource requirements. Virtualization parameters include a reservation parameter (min) representing a minimum resources required for a VM, a limit parameter (max) representing a maximum resources allowable for the VM, and a weight parameter (shares) representing a share of spare resources for the VM.
摘要翻译：提供了使用虚拟机资源权衡的服务器整合。一个实现包括基于用于最大化多个虚拟机和物理服务器的效用的多个虚拟化参数将虚拟机分配给目标物理服务器。该分配基于目标物理服务器的能力和多个虚拟机资源需求来执行虚拟机的资源分配。虚拟化参数包括表示VM所需的最小资源的预留参数（min），表示VM允许的最大资源的限制参数（max）以及表示VM的备用资源份额的权重参数（共享）。

7. 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。

8. 发明申请

US20080295094A1 INTEGRATED PLACEMENT PLANNING FOR HETEROGENOUS STORAGE AREA NETWORK DATA CENTERS 有权
标题翻译：用于异构存储区域网络数据中心的集成放置规划
公开(公告)号：US20080295094A1
公开(公告)日：2008-11-27
申请号：US11752292
申请日：2007-05-22
申请人： Madhukar R. Korupolu , Aameek Singh , Bhuvan Bamba
发明人： Madhukar R. Korupolu , Aameek Singh , Bhuvan Bamba
IPC分类号： G06F9/455
CPC分类号： G06F9/5066 , G06F9/5077 , H04L67/1002 , H04L67/1008 , H04L67/101 , H04L67/1021 , H04L67/1023 , H04L67/1097
摘要： A program, method and system are disclosed for planning the placement of a collection of applications in a heterogeneous storage area network data center. The program, method, and system disclosed deal with the coupled placement of virtual machine applications within a resource graph, with each application requiring a certain amount of CPU resources and a certain amount of storage resources from the connected resource node pairs within the resource graph. The resource nodes in the graph provide either storage resources, CPU resources, or both and can have differing degrees of affinity between different node pairs. Various placement algorithms may be used to optimize placement of the applications such as an individual-greedy, pair-greedy or stable marriage algorithm. One placement objective may be to place the programs among nodes of the resource graph without exceeding the storage and CPU capacities at nodes while keeping the total cost over all applications small.
摘要翻译：公开了一种用于规划在异构存储区域网络数据中心中应用集合的放置的程序，方法和系统。所公开的程序，方法和系统处理虚拟机应用在资源图中的耦合放置，每个应用需要来自资源图中连接的资源节点对的一定量的CPU资源和一定量的存储资源。图中的资源节点提供存储资源，CPU资源或两者，并且可以在不同节点对之间具有不同程度的亲和度。可以使用各种放置算法来优化诸如个人贪心，对贪婪或稳定的结婚算法的应用的放置。一个放置目标可以是在节点之间放置节目，而不超过节点处的存储和CPU容量，同时保持所有应用程序的总成本较小。

9. 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。

10. 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。

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