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    Proactive identification of hotspots in a cloud computing environment
    2.
    发明授权
    Proactive identification of hotspots in a cloud computing environment 有权
    在云计算环境中主动识别热点

    公开(公告)号：US09329908B2

    公开(公告)日：2016-05-03

    申请号：US12893302

    申请日：2010-09-29

    申请人： Sandeep Gopisetty ,  Seshashayee S. Murthy ,  Aameek Singh ,  Sandeep M. Uttamchandani ,  David D. Weck

    发明人： Sandeep Gopisetty ,  Seshashayee S. Murthy ,  Aameek Singh ,  Sandeep M. Uttamchandani ,  David D. Weck

    IPC分类号： G06F15/173 ,  G06F9/50

    CPC分类号： H04L43/10 ,  G06F9/5083 ,  G06F2209/508 ,  H04L67/10

    摘要： The present invention proactively identifies hotspots in a cloud computing environment through cloud resource usage models that use workload parameters as inputs. In some embodiments the cloud resource usage models are based upon performance data from cloud resources and time series based workload trend models. Hotspots may occur and can be detected at any layer of the cloud computing environment, including the server, storage, and network level. In a typical embodiment, parameters for a workload are identified in the cloud computing environment and inputted into a cloud resource usage model. The model is run with the inputted workload parameters to identify potential hotspots, and resources are then provisioned for the workload so as to avoid these hotspots.

    摘要翻译： 本发明通过使用工作负载参数作为输入的云资源使用模型主动地识别云计算环境中的热点。 在一些实施例中，云资源使用模型基于来自云资源和基于时间序列的工作负载趋势模型的性能数据。 热点可能发生，可以在云计算环境的任何层面检测，包括服务器，存储和网络级别。 在典型的实施例中，工作负载的参数在云计算环境中被识别并被输入到云资源使用模型中。 该模型使用输入的工作负载参数运行，以识别潜在的热点，然后为工作负载提供资源，以避免这些热点。

    Performance isolation for storage clouds
    4.
    发明授权
    Performance isolation for storage clouds 有权
    存储云的性能隔离

    公开(公告)号：US08554917B2

    公开(公告)日：2013-10-08

    申请号：US12859788

    申请日：2010-08-20

    申请人： Sandip Agarwala ,  Richard J. Ayala, Jr. ,  Sandeep Gopisetty ,  Seshashayee S. Murthy

    发明人： Sandip Agarwala ,  Richard J. Ayala, Jr. ,  Sandeep Gopisetty ,  Seshashayee S. Murthy

    IPC分类号： G06F15/173

    CPC分类号： G06F3/0689 ,  G06F3/0619 ,  G06F3/0665 ,  G06F9/5072

    摘要： Embodiments of the present invention provide performance isolation for storage clouds. Under one embodiment, workloads across a storage cloud architecture are grouped into clusters based on administrator or system input. A performance isolation domain is then created for each of the clusters, with each of the performance isolation domains comprising a set of data stores associated with a set of storage subsystems and a set of data paths that connect the set of data stores to a set of clients. Thereafter, performance isolation is provided among a set of layers of the performance isolation domains. Such performance isolation is provided by (among other things): pooling data stores from separate performance isolation domains into separate pools; assigning the pools to device adapters, RAID controller, and the set of storage subsystems; preventing workloads on the device adapters from exceeding capacities of the device adapters; mapping the set of data stores to a set of Input/Output (I/O) servers based on an I/O capacity and I/O load of the set of I/O servers; and/or pairing ports of the set of I/O servers with ports of the set of storage subsystems, the pairing being based upon availability, connectivity, I/O load, and I/O capacity.

    摘要翻译： 本发明的实施例提供了用于存储云的性能隔离。 在一个实施例中，跨存储云架构的工作负载基于管理员或系统输入被分组成群集。 然后为每个集群创建性能隔离域，其中每个性能隔离域包括与一组存储子系统相关联的一组数据存储以及将该组数据存储连接到一组数据路径的一组数据路径 客户。 此后，在性能隔离域的一组层中提供性能隔离。 这种性能隔离由（除其他外）提供：将数据存储从单独的性能隔离域集中到单独的池中; 将池分配给设备适配器，RAID控制器和一组存储子系统; 防止设备适配器上的工作负载超过设备适配器的容量; 基于一组I / O服务器的I / O容量和I / O负载，将数据存储集映射到一组输入/输出（I / O）服务器; 和/或将该组I / O服务器的端口与该组存储子系统的端口配对，该配对基于可用性，连接性，I / O负载和I / O容量。

    Continuous optimization of archive management scheduling by use of integrated content-resource analytic model
    5.
    发明授权
    Continuous optimization of archive management scheduling by use of integrated content-resource analytic model 失效
    通过使用综合内容资源分析模型持续优化归档管理调度

    公开(公告)号：US08527998B2

    公开(公告)日：2013-09-03

    申请号：US13569620

    申请日：2012-08-08

    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： G06F9/455 ,  G06F9/46 ,  G06F7/00

    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。

    TRANSMITTING OF CONFIGURATION ITEMS WITHIN A NETWORK
    6.
    发明申请
    TRANSMITTING OF CONFIGURATION ITEMS WITHIN A NETWORK 有权
    在网络中发送配置项目

    公开(公告)号：US20130179537A1

    公开(公告)日：2013-07-11

    申请号：US13346973

    申请日：2012-01-10

    申请人： Christopher J. Dawson ,  Seshashayee S. Murthy ,  Rajesh Radhakrishnan

    发明人： Christopher J. Dawson ,  Seshashayee S. Murthy ,  Rajesh Radhakrishnan

    IPC分类号： G06F15/16

    CPC分类号： H04L41/0816 ,  H04L41/0853 ,  H04L43/0876

    摘要： A method, system and program product for transmitting configuration item data by a network object within a network. The steps include the network object detecting a change; the network object detecting an amount of traffic within the network; the network object transmitting configuration item data to the network at a level based on the amount of traffic present within the network. If all of the configuration item data was not sent and the network object detects that the amount of network traffic within the network is below a determined amount, the network object transmits remaining configuration item data to the network; and if all configuration item data was sent, returns to the step of the network object detecting a change.

    摘要翻译： 一种用于通过网络内的网络对象发送配置项数据的方法，系统和程序产品。 步骤包括网络对象检测变化; 网络对象检测网络内的流量; 所述网络对象基于所述网络内存在的业务量，将配置项数据发送到所述网络。 如果没有发送所有配置项数据，并且网络对象检测到网络内的网络流量低于确定的量，则网络对象将剩余的配置项数据发送到网络; 并且如果发送了所有配置项数据，则返回到检测到更改的网络对象的步骤。

    AUTOMATED DISASTER RECOVERY PLANNING
    9.
    发明申请
    AUTOMATED DISASTER RECOVERY PLANNING 有权
    自动灾难恢复规划

    公开(公告)号：US20110022879A1

    公开(公告)日：2011-01-27

    申请号：US12508783

    申请日：2009-07-24

    申请人： Kavita Chavda ,  Mickey Iqbal ,  Seshashayee S. Murthy ,  Ramani R. Routray ,  Sandeep M. Uttamchandani

    发明人： Kavita Chavda ,  Mickey Iqbal ,  Seshashayee S. Murthy ,  Ramani R. Routray ,  Sandeep M. Uttamchandani

    IPC分类号： G06F11/00 ,  G06N5/02

    CPC分类号： G06F11/0793 ,  G06F11/1438 ,  G06F11/1446 ,  G06F11/2035 ,  G06F11/2038 ,  G06F11/2056 ,  G06F11/2094 ,  G06F11/2097

    摘要： A system and associated method for automated disaster recovery (DR) planning. A DR planning process receives disaster recovery requirements and a target environment configuration from a user to design DR plans for the target environment configuration that meets disaster recovery requirements. The DR planning process accesses a knowledgebase containing information on replication technologies, best practice recipes, and past deployment instances. The DR planning process creates the DR plans by analyzing the disaster recovery requirements into element risks, associating replication technologies to protect each element risks, combining associated replication technologies based on the best practice recipes, and selecting highly evaluated combination based on the past deployment instances. The DR planning process presents the DR plans as classified by replication strategy-architecture combination for each DR plans and marks how strongly each DR plans are recommended.

    摘要翻译： 用于自动化灾难恢复（DR）规划的系统和相关方法。 DR计划过程从用户接收灾难恢复要求和目标环境配置，以设计满足灾难恢复要求的目标环境配置的DR计划。 DR计划流程访问包含有关复制技术，最佳实践配方和过去部署实例的信息的知识库。 DR计划过程通过将灾难恢复要求分析为元素风险，将复制技术与保护每个元素的风险相关联，并根据最佳实践方案组合关联的复制技术，并根据过去的部署实例选择高度评估的组合来创建DR计划。 灾害恢复计划过程将灾难恢复计划列为每个灾难恢复计划的复制策略 - 架构组合分类，并标记每个灾难恢复计划的推荐程度。

    Intelligent network storage planning within a clustered computing environment
    10.
    发明授权
    Intelligent network storage planning within a clustered computing environment 有权
    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。