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1. 发明申请

US20110145439A1 RESOURCE PLANNING AND DATA INTERCHANGE FUNCTIONALITY WITHIN A CLOUD COMPUTING ENVIRONMENT 有权
标题翻译：资源计划和数据交换功能在云计算环境中
公开(公告)号：US20110145439A1
公开(公告)日：2011-06-16
申请号：US12636669
申请日：2009-12-11
申请人： Vinatha Chaturvedi , Kavita Chavda , Christopher J. Dawson , Wesley M. Devine , Thirumal Nellutla
发明人： Vinatha Chaturvedi , Kavita Chavda , Christopher J. Dawson , Wesley M. Devine , Thirumal Nellutla
IPC分类号： G06F15/173
CPC分类号： G06F9/5027
摘要： The present invention provides technology neutral process integration (Cloud Resource Planning), and optimization methodology leveraging a business meta-schema format Cloud Data Interchange (CDI) to integrate, enable, and invoke Cloud services. One example is that the present invention provides a management layer at the process level. There can be multiple Cloud implementations/types within a govern enterprise—perhaps utilizing different infrastructure (e.g., hardware of one supplier versus that of another) or different areas of functionality (computing services, storage services, etc). This disclosure provides an abstraction or ‘resource planning’ layer above these core services such that a customer does not have to have knowledge or choose different Cloud types and/or understand or choose each underlying service. As such, it provides a ‘one stop’ portal.
摘要翻译：本发明提供了技术中和过程集成（Cloud Resource Planning）和优化方法，利用业务元模式格式云数据交换（CDI）来整合，启用和调用云服务。一个示例是本发明提供了处理级别的管理层。在管理企业内可以有多个云实现/类型，可能利用不同的基础设施（例如，一个供应商的硬件与另一个供应商的硬件）或不同的功能（计算服务，存储服务等）区域。本公开提供了这些核心服务之上的抽象或“资源规划”层，使得客户不必具备知识或者选择不同的Cloud类型和/或理解或选择每个底层服务。因此，它提供了“一站式”门户。

2. 发明授权

US08396989B2 Resource planning and data interchange functionality within a cloud computing environment 有权
标题翻译：云计算环境中的资源规划和数据交换功能
公开(公告)号：US08396989B2
公开(公告)日：2013-03-12
申请号：US12636669
申请日：2009-12-11
申请人： Vinatha Chaturvedi , Kavita Chavda , Christopher J. Dawson , Wesley M. Devine , Thirumal Nellutla
发明人： Vinatha Chaturvedi , Kavita Chavda , Christopher J. Dawson , Wesley M. Devine , Thirumal Nellutla
IPC分类号： G06F15/173
CPC分类号： G06F9/5027
摘要： The present invention provides technology neutral process integration (Cloud Resource Planning), and optimization methodology leveraging a business meta-schema format Cloud Data Interchange (CDI) to integrate, enable, and invoke Cloud services. One example is that the present invention provides a management layer at the process level. There can be multiple Cloud implementations/types within a govern enterprise—perhaps utilizing different infrastructure (e.g., hardware of one supplier versus that of another) or different areas of functionality (computing services, storage services, etc). This disclosure provides an abstraction or ‘resource planning’ layer above these core services such that a customer does not have to have knowledge or choose different Cloud types and/or understand or choose each underlying service. As such, it provides a ‘one stop’ portal.
摘要翻译：本发明提供了技术中和过程集成（Cloud Resource Planning）和优化方法，利用业务元模式格式云数据交换（CDI）来整合，启用和调用云服务。一个示例是本发明提供了处理级别的管理层。在管理企业内可以有多个云实现/类型，可能利用不同的基础设施（例如，一个供应商的硬件与另一个供应商的硬件）或不同的功能（计算服务，存储服务等）区域。本公开提供了这些核心服务之上的抽象或资源计划层，使得客户不必具有知识或者选择不同的Cloud类型和/或理解或选择每个底层服务。因此，它提供了一站式门户。

3. 发明授权

US09106675B2 Intelligent network storage planning within a clustered computing environment 有权
标题翻译：集群计算环境中的智能网络存储规划
公开(公告)号：US09106675B2
公开(公告)日：2015-08-11
申请号：US12817238
申请日：2010-06-17
申请人： Gabriel Alatorre , Eric K. Butler , Kavita Chavda , Sandeep Gopisetty , Seshashayee S. Murthy , Aameek Singh
发明人： Gabriel Alatorre , Eric K. Butler , Kavita Chavda , Sandeep Gopisetty , Seshashayee S. Murthy , Aameek Singh
IPC分类号： G06F15/16 , H04L29/08 , H04L12/24 , H04L12/26
CPC分类号： H04L67/1097 , H04L41/0816 , H04L41/145 , H04L43/0876
摘要： Embodiments of the present invention provide an integrated host and subsystem port selection methodology that uses performance measurements combined with information about active data paths. This technique also helps in resilient fabric planning by selecting ports from redundant fabrics. In a typical embodiment, host port to storage port pairs that create a path between a host and a storage device will be identified. From these pairs, a set of host port to storage port candidates for communicate data from the host to the storage device will be identified based on a set of resiliency constraints. Then, a specific host port to storage port pair will be selected from the set based on a lowest joint workload measurement. A path will then be created between the specific host port and storage port, and data will be communicated from the host to the storage device via the path.
摘要翻译：本发明的实施例提供了一种集成的主机和子系统端口选择方法，其使用结合有关活动数据路径的信息的性能测量。这种技术还通过从冗余结构中选择端口来帮助弹性布局规划。在典型的实施例中，将识别在主机和存储设备之间创建路径的主机端口到存储端口对。从这些对中，将基于一组弹性约束来识别从主机到存储设备的用于传送数据的存储端口候选的一组主机端口。然后，将根据最低联合工作负载测量从集合中选择特定的主机端口到存储端口对。然后将在特定主机端口和存储端口之间创建路径，并且数据将通过路径从主机传送到存储设备。

4. 发明申请

US20140074794A1 OPTIMIZING RESTORATION OF DEDUPLICATED DATA 有权
标题翻译：优化恢复数据的恢复
公开(公告)号：US20140074794A1
公开(公告)日：2014-03-13
申请号：US13610929
申请日：2012-09-12
申请人： Kavita Chavda , Nagapramod S. Mandagere , Ramani R. Routray , Pin Zhou
发明人： Kavita Chavda , Nagapramod S. Mandagere , Ramani R. Routray , Pin Zhou
IPC分类号： G06F17/30
CPC分类号： G06F11/1458 , G06F11/1453 , G06F11/1469 , G06F17/3015 , G06F17/30194 , G06F17/30958 , G06F2201/84
摘要： A computer identifies a plurality of data retrieval requests that may be serviced using a plurality of unique data chunks. The computer services the data retrieval requests by utilizing at least one of the unique data chunks. At least one of the unique data chunks can be utilized for servicing two or more of the data retrieval requests. The computer determines a servicing sequence for the plurality of data retrieval requests such that the two or more of the data retrieval requests that can be serviced utilizing the at least one of the unique data chunks are serviced consecutively. The computer services the plurality of data retrieval requests according to the servicing sequence.
摘要翻译：计算机识别可以使用多个唯一数据块来服务的多个数据检索请求。计算机通过利用至少一个唯一数据块来服务数据检索请求。可以利用至少一个唯一数据块来服务两个或多个数据检索请求。计算机确定多个数据检索请求的服务顺序，使得可以使用至少一个唯一数据块来服务的两个或多个数据检索请求被连续地服务。计算机根据服务顺序对多个数据检索请求进行服务。

5. 发明申请

US20130326279A1 RESOURCE PLANNING FOR DATA PROTECTION VALIDATION 有权
公开(公告)号：US20130326279A1
公开(公告)日：2013-12-05
申请号：US13482455
申请日：2012-05-29
申请人： Kavita Chavda , Nagapramod S. Mandagere , Steven Pantridge , Ramani R. Routray
发明人： Kavita Chavda , Nagapramod S. Mandagere , Steven Pantridge , Ramani R. Routray
IPC分类号： G06F11/28
CPC分类号： G06Q10/06315 , G06F3/0484 , G06F11/1458 , G06F11/3672 , G06F17/30371 , G06F2201/82 , G06F2201/835
摘要： A solution for validating a set of data protection solutions is provided. A validation scenario can be defined, which can include data corresponding to a set of attributes for the validation scenario. The attributes can include a time frame for the validation scenario. The validation scenario also can include a set of backup images to be validated, each of which is generated using one of the set of data protection solutions. The set of backup images can be identified using the time frame. A set of resource requirements for implementing the validation scenario can be determined based on the set of backup images and the set of attributes for the validation scenario.

6. 发明授权

US08495018B2 Transitioning application replication configurations in a networked computing environment 有权
标题翻译：在联网计算环境中转换应用程序复制配置
公开(公告)号：US08495018B2
公开(公告)日：2013-07-23
申请号：US13168066
申请日：2011-06-24
申请人： Kavita Chavda , Nagapramod S. Mandagere , Sandeep M. Uttamchandani , Pin Zhou
发明人： Kavita Chavda , Nagapramod S. Mandagere , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F17/00 , G06F17/30
CPC分类号： G06F17/30581 , G06F17/30017 , G06F17/30283 , G06F17/30578
摘要： Embodiments of the present invention provide an approach for providing non-disruptive transitioning of application replication configurations and proactive analysis of possible error scenarios. Specifically, under embodiments of the present invention, a common integration model (CIM)-compatible representation of a system replication plan is provided in a computer data structure. Based on the representation, a hierarchical tree data structure having a set of nodes is created. A set of system configuration updates pertaining to the set of nodes are then classified (e.g., based upon the type of configuration update). Once the set of nodes has been classified, the set of nodes may then be analyzed to determine if any nodes of the set are isomorphic. If so, the plan can be modified accordingly. In any event, the replication plan (or modified replication plan) may then be implemented.
摘要翻译：本发明的实施例提供了一种用于提供应用复制配置的非中断转换和可能的错误情景的主动分析的方法。具体地，在本发明的实施例中，在计算机数据结构中提供了系统复制计划的公共集成模型（CIM）兼容表示。基于该表示，创建具有一组节点的分层树数据结构。然后对与该组节点有关的一组系统配置更新进行分类（例如，基于配置更新的类型）。一旦节点集合被分类，则可以分析节点集合以确定集合中的任何节点是否是同构的。如果是这样，可以相应地修改计划。无论如何，可以实现复制计划（或修改的复制计划）。

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. 发明申请

US20110314164A1 INTELLIGENT NETWORK STORAGE PLANNING WITHIN A CLUSTERED COMPUTING ENVIRONMENT 有权
标题翻译：集群计算环境中的智能网络存储规划
公开(公告)号：US20110314164A1
公开(公告)日：2011-12-22
申请号：US12817238
申请日：2010-06-17
申请人： Gabriel Alatorre , Eric K. Butler , Kavita Chavda , Sandeep Gopisetty , Seshashayee S. Murthy , Aameek Singh
发明人： Gabriel Alatorre , Eric K. Butler , Kavita Chavda , Sandeep Gopisetty , Seshashayee S. Murthy , Aameek Singh
IPC分类号： G06F15/16
CPC分类号： H04L67/1097 , H04L41/0816 , H04L41/145 , H04L43/0876
摘要： Embodiments of the present invention provide an integrated host and subsystem port selection methodology that uses performance measurements combined with information about active data paths. This technique also helps in resilient fabric planning by selecting ports from redundant fabrics. In a typical embodiment, host port to storage port pairs that create a path between a host and a storage device will be identified. From these pairs, a set of host port to storage port candidates for communicate data from the host to the storage device will be identified based on a set of resiliency constraints. Then, a specific host port to storage port pair will be selected from the set based on a lowest joint workload measurement. A path will then be created between the specific host port and storage port, and data will be communicated from the host to the storage device via the path.
摘要翻译：本发明的实施例提供了一种集成的主机和子系统端口选择方法，其使用结合有关活动数据路径的信息的性能测量。这种技术还通过从冗余结构中选择端口来帮助弹性布局规划。在典型的实施例中，将识别在主机和存储设备之间创建路径的主机端口到存储端口对。从这些对中，将基于一组弹性约束来识别从主机到存储设备的用于传送数据的存储端口候选的一组主机端口。然后，将根据最低联合工作负载测量从集合中选择特定的主机端口到存储端口对。然后将在特定主机端口和存储端口之间创建路径，并且数据将通过路径从主机传送到存储设备。

10. 发明申请

US20110138391A1 CONTINUOUS OPTIMIZATION OF ARCHIVE MANAGEMENT SCHEDULING BY USE OF INTEGRATED CONTENT-RESOURCE ANALYTIC MODEL 失效
标题翻译：使用综合内容资源分析模型连续优化存档管理调度
公开(公告)号：US20110138391A1
公开(公告)日：2011-06-09
申请号：US12631247
申请日：2009-12-04
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： G06F9/46
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。

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