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    • 74. 发明授权
    • Constrained resource management
    • 限制资源管理
    • US08285574B2
    • 2012-10-09
    • US12721706
    • 2010-03-11
    • Gregory J. BossRick A. Hamilton, IIJulianne F. HaughBrian M. O'ConnellAnne R. Sand
    • Gregory J. BossRick A. Hamilton, IIJulianne F. HaughBrian M. O'ConnellAnne R. Sand
    • G06Q40/00
    • G06Q10/06G06Q10/06315G06Q30/04G06Q40/04G06Q50/06
    • Implementation of resource management services is provided. A method includes setting a price, per unit of a resource, for a defined time period and based upon a collective projected resource demand corresponding to resource consumption entities (RCEs). For the duration of the time period, the method includes iteratively performing: monitoring actual usage of the resource for each of the RCEs. If, in response to the monitoring, it is determined that a projected shortage exists for an RCE and a projected surplus exists for another RCE, the method includes re-allocating a number of projected surplus units of the resource from the RCE having the projected surplus to the other RCE having the projected shortage. If, in response to the monitoring, it is determined that a projected shortage exists for an RCE and no projected surplus exists for any of the other RCEs, the method includes acquiring additional units of the resource.
    • 提供资源管理服务的实施。 一种方法包括在定义的时间周期内并且基于对应于资源消耗实体(RCE)的集体预计资源需求来设置每单位资源的价格。 在时间段期间,该方法包括迭代执行:监视每个RCE的资源的实际使用。 如果根据监测,确定对于RCE预计存在短缺,并且另一个RCE存在预期的剩余,则该方法包括重新分配来自具有预计剩余的RCE的资源的预计剩余单元数 到另一个预计短缺的RCE。 如果响应于监测,确定对于RCE存在预计的短缺,并且对于任何其他RCE都不存在预期的剩余,则该方法包括获取资源的附加单元。
    • 75. 发明授权
    • Analysis of energy-related factors for selecting computational job locations
    • 选择计算工作地点的能源相关因素分析
    • US08086544B2
    • 2011-12-27
    • US12203345
    • 2008-09-03
    • Gregory J. BossJames R. DoranRick A. Hamilton, IISteven V. JacksonAnne R. Sand
    • Gregory J. BossJames R. DoranRick A. Hamilton, IISteven V. JacksonAnne R. Sand
    • G06F17/00G06Q10/00
    • G06Q10/04G06Q10/06G06Q10/063G06Q30/0283G06Q50/06Y02P90/82
    • The selection of an optimal data center location for running a computational workload is based on multiple energy criteria. The location is chosen based on multivariate and predictive analysis of total direct and indirect energy costs, and other user-defined factors. Among the direct and indirect costs are power costs and cooling costs as well as structural and other details of a given data center. Among the other factors to be considered that can have an impact on present and future costs are weather patterns, data and forecasts, availability of energy providers, and energy attributes. A forecaster factors these direct and indirect costs along with extrinsic information such as historical trends and predictive sources into a forecast which is then input to a decision engine along with user defined criteria and with anticipated compute tasks and requirements to select a final location or locations for handling the workload.
    • 选择用于运行计算工作负载的最佳数据中心位置是基于多个能量标准。 基于对直接和间接能源总成本以及其他用户定义因素的多变量和预测分析来选择位置。 直接和间接成本包括电力成本和冷却成本以及给定数据中心的结构和其他细节。 考虑到可能对当前和未来成本产生影响的其他因素包括天气模式,数据和预测,能源供应商的可用性和能源属性。 预报员将这些直接和间接成本与外部信息(例如历史趋势和预测来源)相关联,将其输入到预测中,然后将预测输入到决策引擎以及用户定义的标准以及预期的计算任务和要求,以选择最终位置或位置 处理工作量。
    • 79. 发明授权
    • Method and system for data disaggregation
    • 数据分解方法和系统
    • US07890454B2
    • 2011-02-15
    • US12117393
    • 2008-05-08
    • Rick A. Hamilton, IIJenny S. LiVivek SalveAnne R. SandElisabeth R. Stahl
    • Rick A. Hamilton, IIJenny S. LiVivek SalveAnne R. SandElisabeth R. Stahl
    • G06F7/00G06F17/00G06F17/30
    • G06Q10/0637G06F17/303Y02D10/45
    • A method and system for migrating source data from a source database to a destination database based on energy efficiency and conservation. A migration server evaluates the source data for usage and requirements and defines data usage and requirement tags for the source data. The source data is disaggregated into one or more source data sets based on the data usage and requirement tags. The migration server then identifies candidate destinations for the source data, wherein each candidate destination has stored data identified with usage and requirement tags. The data migration server compares the first usage and requirement tags of the source data with the second usage and requirement tags of the stored data and identifies an optimal destination database based on the comparing step. The data migration server migrates the source data to the optimal destination database.
    • 一种基于能源效率和节约资源将源数据从源数据库迁移到目标数据库的方法和系统。 迁移服务器评估源数据的使用和要求,并定义源数据的数据使用和要求标签。 源数据根据数据使用和需求标签分解为一个或多个源数据集。 然后,迁移服务器识别源数据的候选目的地,其中每个候选目的地已经存储了使用和需求标签标识的数据。 数据迁移服务器将源数据的第一使用和需求标签与存储数据的第二使用和需求标签进行比较,并且基于比较步骤识别最佳目的地数据库。 数据迁移服务器将源数据迁移到最佳目标数据库。