CONTROLLING COMPUTER STORAGE SYSTEMS
    1.
    发明申请
    CONTROLLING COMPUTER STORAGE SYSTEMS 审中-公开
    控制计算机存储系统

    公开(公告)号:WO2008002693A3

    公开(公告)日:2008-05-02

    申请号:PCT/US2007064504

    申请日:2007-03-21

    CPC classification number: G06F11/008 G06F11/2069 G06F2211/1004

    Abstract: Goal-based availability and change management are handled over groups of heterogeneous storage controllers. Probabilistic and deterministic methods are employed to determine the allocation and placement of storage volumes to storage controllers, as well as the degree of data redundancy necessary to achieve data availability goals. The probabilistic methods can take into account past observations of controller availability, and operator beliefs, as well as the state of storage controller configuration, in coming up with a probabilistic estimate of future availability.

    Abstract translation: 基于目标的可用性和变更管理在异构存储控制器组中处理。 采用概率和确定性方法来确定存储控制器的存储卷的分配和布局,以及实现数据可用性目标所需的数据冗余程度。 概率方法可以考虑过去对控制器可用性的观察以及操作者的信念以及存储控制器配置的状态,以便提供对未来可用性的概率估计。

    Beheben von Ressourcenüberlastung

    公开(公告)号:DE102013206172A1

    公开(公告)日:2013-10-24

    申请号:DE102013206172

    申请日:2013-04-09

    Applicant: IBM

    Abstract: Ein Verfahren, eine Vorrichtung und ein Herstellungsartikel zum Beheben von Überlastung in einer überbelegten Datenverarbeitungsumgebung. Das Verfahren beinhaltet Messen der Ressourcennutzung jeder der vielen virtuellen Maschinen in jedem von mindestens einem Hypervisor in einer Datenverarbeitungsumgebung, bei Erkennung einer Ressourcenüberlastung in einem von mindestens einem Hypervisor Ermitteln von mindestens einer Operation, die für mindestens eine der vielen virtuellen Maschinen im Hypervisor vorzunehmen ist, um die Ressourcenüberlastung zu beheben und dabei die Werte der im Betrieb befindlichen virtuellen Maschinen zu steigern, und Senden eines Befehls an den Hypervisor, um die mindestens eine Operation auszugeben.

    3.
    发明专利
    未知

    公开(公告)号:DE69733599T2

    公开(公告)日:2006-05-04

    申请号:DE69733599

    申请日:1997-09-04

    Applicant: IBM

    Abstract: A computer connected to a network has a cumulative packet count data structure that resides in the memory of the computer and has one or more records. Each of the records has usage information associated with an entity (a user or service provider with one or more other computers) connected to the network. The information is in terms of one or more information units, e.g. packets, cells, bytes, and bits. An incrementing process, executed by the central processing unit of the computer accesses a polled amount in a router on the network. The polled amount indicates an amount of network usage associated with the entity in terms of the information units used over a polling period. The incrementing process increments the usage information with the polled amount so that the usage information indicates a cumulative amount of network usage by the entity over a time period. The network usage can be weighted by various (network) cost factors. The weights can also be used to distribute or allocate (weighted) usage among the various entities on the network.

    4.
    发明专利
    未知

    公开(公告)号:DE69733599D1

    公开(公告)日:2005-07-28

    申请号:DE69733599

    申请日:1997-09-04

    Applicant: IBM

    Abstract: A computer connected to a network has a cumulative packet count data structure that resides in the memory of the computer and has one or more records. Each of the records has usage information associated with an entity (a user or service provider with one or more other computers) connected to the network. The information is in terms of one or more information units, e.g. packets, cells, bytes, and bits. An incrementing process, executed by the central processing unit of the computer accesses a polled amount in a router on the network. The polled amount indicates an amount of network usage associated with the entity in terms of the information units used over a polling period. The incrementing process increments the usage information with the polled amount so that the usage information indicates a cumulative amount of network usage by the entity over a time period. The network usage can be weighted by various (network) cost factors. The weights can also be used to distribute or allocate (weighted) usage among the various entities on the network.

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