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1. 发明申请

US20070112870A1 System and 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的主动影响分析系统和方法
公开(公告)号：US20070112870A1
公开(公告)日：2007-05-17
申请号：US11281739
申请日：2005-11-16
申请人： Madhukar Korupolu , Aameek Singh , Kaladhar Voruganti
发明人： Madhukar Korupolu , Aameek Singh , Kaladhar Voruganti
IPC分类号： G06F17/30
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。

2. 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。

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。

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

US20130318525A1 LOCALITY-AWARE RESOURCE ALLOCATION FOR CLOUD COMPUTING 有权
标题翻译：云计算的地方性资源分配
公开(公告)号：US20130318525A1
公开(公告)日：2013-11-28
申请号：US13481614
申请日：2012-05-25
申请人： Balaji Palanisamy , Aameek Singh
发明人： Balaji Palanisamy , Aameek Singh
IPC分类号： G06F9/455 , G06F15/173
CPC分类号： G06F9/5066
摘要： Computing resource allocation for map-reduce job execution comprises determining the volume of input data to the map-phase and the reduce-phase of a map-reduce job prior to execution. Based on said determination, data blocks and virtual machines (VMs) are selectively placed for locality aware map-reduce job execution on a cluster of computing nodes in a network. Selectively placing data blocks and VMs comprises integrally placing the data and the VMs at selected nodes to lower data transfer network hops for a map-phase and a shuffle-phase of the map-reduce job upon execution by the VMs.
摘要翻译：计算用于map-reduce作业执行的资源分配包括在执行之前确定地图相位的输入数据的容量和map-reduce作业的减少阶段。基于所述确定，数据块和虚拟机（VM）被选择性地放置用于在网络中的计算节点的集群上进行位置感知的映射 - 减少作业执行。选择性地放置数据块和虚拟机包括将数据和虚拟机整合放置在所选节点处，以降低虚拟机执行时映射阶段的数据传输网络跳数和地图缩减作业的混洗阶段。

7. 发明申请

US20120110260A1 AUTOMATED STORAGE PROVISIONING WITHIN A CLUSTERED COMPUTING ENVIRONMENT 有权
标题翻译：在集群计算环境中自动存储提供
公开(公告)号：US20120110260A1
公开(公告)日：2012-05-03
申请号：US12915153
申请日：2010-10-29
申请人： Kavita Chavda , David P. Goodman , Sandeep Gopisetty , Larry S. McGimsey , James E. Olson , Aameek Singh
发明人： Kavita Chavda , David P. Goodman , Sandeep Gopisetty , Larry S. McGimsey , James E. Olson , Aameek Singh
IPC分类号： G06F12/00
CPC分类号： G06F3/0689 , G06F3/0605 , G06F3/0619 , G06F3/0665 , G06F3/067
摘要： Embodiments of the present invention provide an approach for automatic storage planning and provisioning within a clustered computing environment (e.g., a cloud computing environment). Specifically, embodiments of the present invention will receive planning input for a set of storage area network volume controllers (SVCs) within the clustered computing environment, the planning input indicating a potential load on the SVCs and its associated components. Along these lines, analytical models (e.g., from vendors) can be also used that allow for a load to be accurately estimated on the storage components. Regardless, configuration data for a set of storage components (i.e., the set of SVCs, a set of managed disk (Mdisk) groups associated with the set of SVCs, and a set of backend storage systems) will also be collected. Based on this configuration data, the set of storage components will be filtered to identify candidate storage components capable of addressing the potential load. Then, performance data for the candidate storage components will be analyzed to identify an SVC and an Mdisk group to address the potential load. This allows for storage provisioning planning to be automated in a highly accurate fashion.
摘要翻译：本发明的实施例提供了一种用于集群计算环境（例如，云计算环境）内的自动存储规划和供应的方法。具体地，本发明的实施例将接收针对集群计算环境内的一组存储区域网络卷控制器（SVC）的规划输入，规划输入指示SVC及其相关组件上的潜在负载。沿着这些线路，还可以使用分析模型（例如，来自供应商），允许在存储组件上准确地估计负载。无论如何，还将收集一组存储组件（即，一组SVC，与该组SVC相关联的一组受管理磁盘（Mdisk）组）和一组后端存储系统的配置数据。基于该配置数据，将对该组存储组件进行滤波以识别能够寻址潜在负载的候选存储组件。然后，将分析候选存储组件的性能数据，以识别SVC和Mdisk组以解决潜在负载。这使得存储配置计划能够以高度精确的方式自动化。

8. 发明申请

US20120005467A1 Streaming Virtual Machine Boot Services Over a Network 有权
标题翻译：通过网络流式虚拟机引导服务
公开(公告)号：US20120005467A1
公开(公告)日：2012-01-05
申请号：US12827169
申请日：2010-06-30
申请人： Eric K. Butler , M. Corneliu Constantinescu , Reshu Jain , Prasenjit Sarkar , Aameek Singh
发明人： Eric K. Butler , M. Corneliu Constantinescu , Reshu Jain , Prasenjit Sarkar , Aameek Singh
IPC分类号： G06F15/177
CPC分类号： G06F9/45558 , G06F9/4416 , G06F2009/45575
摘要： Embodiments of the invention are directed to streaming virtual machine boot services over a network. An aspect of the invention includes booting a first virtual machine and recording data and metadata from a virtual machine boot image into a virtual machine boot file. The data and metadata are accessed in the process of booting the first virtual machine. The virtual machine boot image has setup information of the virtual machine type of the first virtual machine. The virtual machine boot file is configured for the virtual machine type of the first virtual machine. A descriptor is added to metadata of the virtual machine boot image, which references a location of the virtual machine boot file for the virtual machine type of the first virtual machine. When subsequently booting a second virtual machine of the same type of virtual machine as the first virtual machine, data are streamed from the virtual machine boot file to a virtual machine monitor of a second virtual machine without the need to stream data from the virtual machine boot image.
摘要翻译：本发明的实施例涉及通过网络流式传输虚拟机引导服务。本发明的一个方面包括引导第一虚拟机并将数据和元数据从虚拟机引导映像记录到虚拟机启动文件中。在引导第一个虚拟机的过程中访问数据和元数据。虚拟机引导映像具有第一虚拟机的虚拟机类型的设置信息。为第一个虚拟机的虚拟机类型配置虚拟机引导文件。将描述符添加到虚拟机引导映像的元数据，虚拟机引导映像引用虚拟机引导文件的位置，用于第一个虚拟机的虚拟机类型。当随后引导与第一虚拟机相同类型的虚拟机的第二虚拟机时，将数据从虚拟机引导文件流式传输到第二虚拟机的虚拟机监视器，而不需要从虚拟机引导中流式传输数据图片。

9. 发明申请

US20110314069A1 DATA LIFECYCLE MANAGEMENT WITHIN A CLOUD COMPUTING ENVIRONMENT 有权
标题翻译：数据生命周期管理在云计算环境中
公开(公告)号：US20110314069A1
公开(公告)日：2011-12-22
申请号：US12817245
申请日：2010-06-17
申请人： Gabriel Alatorre , Richard Ayala , Kavita Chavda , Sandeep Gopisetty , Aameek Singh
发明人： Gabriel Alatorre , Richard Ayala , Kavita Chavda , Sandeep Gopisetty , Aameek Singh
IPC分类号： G06F17/30
CPC分类号： G06F17/30082
摘要： Embodiments of the present invention provide lifecycle storage management for data within a Cloud computing environment. Specifically, a set of policies can be defined that allow for automatic valuation of the data and migration of the data between a set of storage tiers. Before a policy set is deployed, it can be assessed to determine effects it will have on cost, performance, and data location. Based on data characteristics and access patterns, a set of policy recommendations can be provided that predict the value of the data over time, and offer an improved migration strategy for moving the data between the set of storage tiers as the value of the data changes.
摘要翻译：本发明的实施例为云计算环境中的数据提供生命周期存储管理。具体来说，可以定义一组策略，允许数据的自动估价和一组存储层之间的数据迁移。在部署策略集之前，可以对其进行评估，以确定其对成本，性能和数据位置的影响。基于数据特征和访问模式，可以提供一组预测数据随时间推移的策略建议，并提供改进的迁移策略，用于随着数据值的变化在一组存储层之间移动数据。

10. 发明申请

US20090298587A1 SIP Based VOIP Multiplayer Network Games 有权
标题翻译：基于SIP的VOIP多人网络游戏
公开(公告)号：US20090298587A1
公开(公告)日：2009-12-03
申请号：US12540227
申请日：2009-08-12
申请人： Arup Acharya , Aameek Singh
发明人： Arup Acharya , Aameek Singh
IPC分类号： A63F13/00 , A63F9/24
CPC分类号： A63F13/87 , A63F13/12 , A63F13/795 , A63F2300/407 , A63F2300/50 , A63F2300/572 , H04L65/1006 , H04L65/4038 , H04L67/38
摘要： This invention is directed to a system and method for the close coupling of Session Initiation Protocol (SIP) based Voice over Internet Protocol (VoIP) with multiplayer network games. Game state dependent voice communications are used as another method of player interaction in the game environment. The system uses SIP enhanced game servers and conference servers with audio mixing capabilities, and the game server controls the creation, maintenance and changing of the voice conferences. Participation in a voice conference is determined by the game state features associated with each player including distance and direction to determine how the voices are mixed in a voice conference.
摘要翻译：本发明涉及一种用于基于会话发起协议（SIP）的基于语音的互联网协议（VoIP）与多玩家网络游戏的紧密耦合的系统和方法。游戏状态相关的语音通信被用作游戏环境中玩家交互的另一种方法。该系统使用具有音频混合功能的SIP增强游戏服务器和会议服务器，游戏服务器控制语音会议的创建，维护和更改。参与语音会议由与每个玩家相关联的游戏状态特征确定，包括距离和方向，以确定语音在语音会议中如何混合。

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