DYNAMIC RESOURCE SCHEDULING
    112.
    发明申请
    DYNAMIC RESOURCE SCHEDULING 有权
    动态资源调度

    公开(公告)号:US20140068627A1

    公开(公告)日:2014-03-06

    申请号:US13931819

    申请日:2013-06-29

    Abstract: Embodiments of the invention relate to a system and method for dynamically scheduling resources using policies to self-optimize resource workloads in a data center. The object of the invention is to allocate resources in the data center dynamically corresponding to a set of policies that are configured by an administrator. Operational parametrics that correlate to the cost of ownership of the data center are monitored and compared to the set of policies configured by the administrator. When the operational parametrics approach or exceed levels that correspond to the set of policies, workloads in the data center are adjusted with the goal of minimizing the cost of ownership of the data center. Such parametrics include yet are not limited to those that relate to resiliency, power balancing, power consumption, power management, error rate, maintenance, and performance.

    Abstract translation: 本发明的实施例涉及使用策略自动调度资源以自我优化数据中心中的资源工作负载的系统和方法。 本发明的目的是动态地分配数据中心中的资源,与由管理员配置的一组策略相对应。 与数据中心所有权成本相关的操作参数被监控,并与管理员配置的一组策略进行比较。 当操作参数方法或超过对应于一组策略的级别时,调整数据中心的工作负载,以最小化数据中心的所有权成本。 这样的参数包括但不限于与弹性,功率平衡,功耗,功率管理,错误率,维护和性能相关的参数。

    Data Coherence Method and Apparatus for Multi-Node Computer System
    114.
    发明申请
    Data Coherence Method and Apparatus for Multi-Node Computer System 有权
    多节点计算机系统的数据一致性方法与装置

    公开(公告)号:US20130212339A1

    公开(公告)日:2013-08-15

    申请号:US13848546

    申请日:2013-03-21

    CPC classification number: G06F3/0644 G06F12/0817 G06F12/0826

    Abstract: A method for maintaining data coherency in a shared-memory computer system having a plurality of nodes divides the local memory of a given node into one or more blocks and stores a data record for each block indicating a plurality of node groups and a selection of the node groups. Each selected node group represents a number of nodes, and selected node groups represent at least one node that has requested access to the block. In response to receiving an access request from a requesting node that may or may not be in a selected node group, the method and system update the data record to indicate the correct selection. If the requesting node is not in any node group, the data record is adjusted to have new node groups, one of which represents the requesting node.

    Abstract translation: 一种用于在具有多个节点的共享存储器计算机系统中维持数据一致性的方法将给定节点的本地存储器划分为一个或多个块,并且存储指示多个节点组的每个块的数据记录,并且选择 节点组。 每个选定的节点组表示多个节点,并且所选择的节点组表示至少一个请求访问该块的节点。 响应于从请求节点接收到可能选择的节点组或可能不在所选节点组中的访问请求,该方法和系统更新数据记录以指示正确的选择。 如果请求节点不在任何节点组中,则将数据记录调整为具有新的节点组,其中一个表示请求节点。

    FLOATING LIQUID COOLED HEAT TRANSFER SOLUTION
    116.
    发明申请

    公开(公告)号:US20170135246A1

    公开(公告)日:2017-05-11

    申请号:US15339704

    申请日:2016-10-31

    Abstract: The present disclosure relates to an apparatus and a method for cooling electronic components. An apparatus of the presently claimed invention includes a connector and an electronic component that plugs into the connector. The electronic component contacts a heat sink, where the heat sink moves in an upward direction as the electronic component is plugged into the connector. Soft thermal pads located between the heat sink and liquid cooling tubes/pipes compress as the heat sink moves upward. When compressed, the thermal pads contact the heat sink and the liquid cooling tubes/pipes. Heat is then transferred from the electronic component through the heat sink, through the thermal pads, through the coolant tubes, and into liquid contained within the liquid coolant tubes.

    DEPLOYING SOFTWARE IN A MULTI-INSTANCE NODE
    118.
    发明申请
    DEPLOYING SOFTWARE IN A MULTI-INSTANCE NODE 有权
    在多个代码节点中部署软件

    公开(公告)号:US20170031720A1

    公开(公告)日:2017-02-02

    申请号:US15221936

    申请日:2016-07-28

    CPC classification number: G06F9/5016 G06F9/5027 G06F9/5055

    Abstract: A system for deploying big data software in a multi-instance node. The optimal CPU memory and core configuration for a single instance database is determined. After determining an optimal core-memory ratio for a single instance execution, the software is deployed in multi-instance mode on single machine by applying the optimal core-memory ratio for each of the instances. The multi-instance database may then be deployed and data may be loaded in parallel for the instances.

    Abstract translation: 用于在多实例节点中部署大数据软件的系统。 确定单个实例数据库的最佳CPU内存和核心配置。 在确定单个实例执行的最佳核心存储器比率之后,通过对每个实例应用最优核心存储器比率,在单机器上以多实例模式部署软件。 然后可以部署多实例数据库,并且可以为实例并行加载数据。

    CLUSTERED FILESYSTEMS FOR MIX OF TRUSTED AND UNTRUSTED NODES
    119.
    发明申请
    CLUSTERED FILESYSTEMS FOR MIX OF TRUSTED AND UNTRUSTED NODES 审中-公开
    用于混合和未被引用的编码的混合文件

    公开(公告)号:US20170026378A1

    公开(公告)日:2017-01-26

    申请号:US15219797

    申请日:2016-07-26

    Inventor: Kenneth S. Beck

    Abstract: A cluster of computer system nodes share direct read/write access to storage devices via a storage area network using a cluster filesystem. At least one trusted metadata server assigns a mandatory access control label as an extended attribute of each filesystem object regardless of whether required by a client node accessing the filesystem object. The mandatory access control label indicates the sensitivity and integrity of the filesystem object and is used by the trusted metadata server(s) to control access to the filesystem object by all client nodes.

    Abstract translation: 一组计算机系统节点通过使用群集文件系统的存储区域网络共享对存储设备的直接读/写访问。 至少一个受信任的元数据服务器将强制访问控制标签分配为每个文件系统对象的扩展属性,而不管客户端节点访问文件系统对象是否需要。 强制访问控制标签指示文件系统对象的灵敏度和完整性,并由受信任的元数据服务器用于控制所有客户端节点对文件系统对象的访问。

    Platform and software framework for data intensive applications in the cloud
    120.
    发明授权
    Platform and software framework for data intensive applications in the cloud 有权
    用于云中数据密集型应用的平台和软件框架

    公开(公告)号:US09513934B2

    公开(公告)日:2016-12-06

    申请号:US14266764

    申请日:2014-04-30

    Inventor: Sanhita Sarkar

    Abstract: A system deploys visualization tools, business analytics software, and big data software in a multi-instance mode on a large, coherent shared memory many-core computing system. The single machine solution provides or high performance and scalability and may be implemented remotely as a large capacity server (i.e., in the cloud) or locally to a user. Most big data software running in a single instance mode has limitations in scalability when running on a many-core and large coherent shared memory system. A configuration and deployment technique using a multi-instance approach, which also includes visualization tools and business analytics software, maximizes system performance and resource utilization, reduces latency and provides scalability as needed, for end-user applications in the cloud.

    Abstract translation: 系统在大型,一致的共享内存多核计算系统上以多实例模式部署可视化工具,业务分析软件和大数据软件。 单机解决方案提供或高性能和可扩展性,并且可以远程实现为大容量服务器(即,在云中)或本地地向用户实现。 在单实例模式下运行的大多数数据软件在多核和大型一致的共享内存系统上运行时具有可扩展性的局限性。 使用多实例方法的配置和部署技术,其中还包括可视化工具和业务分析软件,可最大限度地提高系统性能和资源利用率,减少延迟并根据需要提供可扩展性,以便云中的最终用户应用程序。

Patent Agency Ranking