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    • 13. 发明授权
    • System and method of co-allocating a reservation spanning different compute resources types
    • 共同分配跨越不同计算资源类型的预留的系统和方法
    • US07971204B2
    • 2011-06-28
    • US10530582
    • 2005-03-11
    • David Brian Jackson
    • David Brian Jackson
    • G06F9/46G06F15/173
    • G06F9/5027G06F9/50G06F9/5038G06F9/5072G06F2209/5014G06F2209/506
    • A system and method of co-allocating resources within a compute environment are disclosed. The method embodiment of the invention comprises receiving a request for a reservation for a first type of resource, analyzing constraints and guarantees associated with the first type of resource, identifying a first group of resources that meet the request for the first type of resource and storing in a first list, receiving a request for a reservation for a second type of resource, analyzing constraints and guarantees associated with the second type of resource, identifying a second group of resources that meet the request for the second type of resource and storing in a second list, calculating a co-allocation parameter between the first group of resources and the second group of resources and reserving resources according to the calculated co-allocation parameter of the first group of resources and the second group of resources. The request may also request exclusivity of the reservation.
    • 公开了一种在计算环境内共同分配资源的系统和方法。 本发明的方法实施例包括接收对第一类型的资源的预留的请求,分析与第一类型资源相关联的约束和保证,识别满足对第一类型资源的请求的第一组资源和存储 在第一列表中,接收对第二类型资源的预留的请求,分析与第二类型资源相关联的约束和保证,识别符合第二类型资源的请求的第二资源组并存储在 第二列表,根据所计算的第一组资源和第二组资源的共同分配参数,计算第一资源组和第二组资源之间的共同分配参数和预留资源。 该请求也可以请求排他性的预约。
    • 16. 发明授权
    • System and method for managing energy consumption in a compute environment
    • 用于管理计算环境中的能源消耗的系统和方法
    • US08549333B2
    • 2013-10-01
    • US13621989
    • 2012-09-18
    • David Brian Jackson
    • David Brian Jackson
    • G06F1/00G06F1/26G06F1/32G06F9/46
    • G06F1/3203G05D23/1917G06F1/3206G06F1/3256G06F1/3268G06F1/3275G06F1/3287G06F1/329G06F9/5088G06F9/5094G06Q10/06Y02D10/13Y02D10/14Y02D10/154Y02D10/1542Y02D10/171Y02D10/22Y02D10/24Y02D10/32
    • A system and method for reducing power consumption in clusters, grids, on-demand centers, etc. These principles can reduce both direct and indirect power consumption while maintaining either full cluster performance or adequate SLA based cluster performance. The method includes receiving at least one state data point regarding power consumption or temperature of at least one resource within the compute environment. Using intelligent policies to control power consumption, the method implements and interfaces with power managements facilities within the cluster, grid or on-demand center to implement policies, make dynamic changes, make predictions or actions, etc., to reduce the direct or indirect power consumption associated with a compute environment. Methods can include analysis of current workload and/or future workload in taking energy saving actions, and also involve reporting state information and updating algorithms based on historical experience or outside sources of information.
    • 一种用于降低集群,网格,按需中心等功耗的系统和方法。这些原则可以降低直接和间接功耗,同时保持全集群性能或足够的基于SLA的集群性能。 该方法包括:接收关于计算环境内的至少一个资源的功率消耗或温度的至少一个状态数据点。 采用智能策略来控制功耗,该方法实现集群,电网或点播中心内的电源管理设施实现策略,动态变化,做出预测或动作等功能,减少直接或间接的电力 与计算环境相关联的消耗。 方法可以包括分析当前工作量和/或采取节能措施的未来工作量,并且还包括基于历史经验或外部信息来源报告状态信息和更新算法。
    • 17. 发明授权
    • System and method for managing energy consumption in a compute environment
    • 用于管理计算环境中的能源消耗的系统和方法
    • US08271807B2
    • 2012-09-18
    • US12179142
    • 2008-07-24
    • David Brian Jackson
    • David Brian Jackson
    • G06F1/00G06F1/26G06F1/32G06F9/46
    • G06F1/3203G05D23/1917G06F1/3206G06F1/3256G06F1/3268G06F1/3275G06F1/3287G06F1/329G06F9/5088G06F9/5094G06Q10/06Y02D10/13Y02D10/14Y02D10/154Y02D10/1542Y02D10/171Y02D10/22Y02D10/24Y02D10/32
    • A system, method and computer readable medium are disclosed for reducing power consumption in clusters, grids, on-demand centers, and so forth. The principles disclosed herein can reduce both direct and indirect power consumption while maintaining either full cluster performance or adequate SLA based cluster performance. The method includes receiving at least one state data point regarding power consumption or temperature of at least one resource within the compute environment. Using intelligent policies to control power consumption, the method implements and interfaces with power managements facilities within the cluster, grid or on-demand center to either implement policies, make dynamic changes, make predictions or actions, and so forth to reduce one or more of the direct or indirect power consumption associated with a compute environment. The method can analyze current workload, future workload or both in taking energy saving actions in the environment. An aspect can also involve reporting state information and updating algorithms based on historical experience or outside sources of information such as the news or weather.
    • 公开了一种系统,方法和计算机可读介质,用于降低群集,网格,按需中心等中的功耗。 本文公开的原理可以减少直接和间接功耗,同时保持完整的集群性能或足够的基于SLA的集群性能。 该方法包括:接收关于计算环境内的至少一个资源的功率消耗或温度的至少一个状态数据点。 该方法采用智能策略来控制功耗,实现集群,网格或点播中心内的电力管理设施,实现策略,动态变化,做出预测或动作等,减少一个或多个 与计算环境相关联的直接或间接功耗。 该方法可以分析当前的工作负载,未来的工作负载或两者在环境中采取节能措施。 一个方面还可以包括根据历史经验或外部来源的信息(如新闻或天气)报告状态信息和更新算法。