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    • 75. 发明授权
    • Multi-operating system document editing mode for battery powered personal computing devices
    • 用于电池供电的个人计算设备的多操作系统文档编辑模式
    • US08140840B2
    • 2012-03-20
    • US12105372
    • 2008-04-18
    • Kulvir S. BhogalGregory J. BossRick A. Hamilton, IIRobert R. Peterson
    • Kulvir S. BhogalGregory J. BossRick A. Hamilton, IIRobert R. Peterson
    • G06F9/24G06F15/177
    • G06F1/3203G06F1/329Y02D10/24
    • Embodiments of the present invention provide a method, system and computer program product for a low power document editing mode for mobile computing devices. In an embodiment of the invention, a battery powered computing device can be configured for power optimized document editing, the computing device. The device can include a central processing unit (CPU), both coupled to a battery, memory, fixed storage and a display within a single computing case. The device also can include a primary personal computing operating system and also an auxiliary low-power consumption operating system each stored in fixed storage, each including a configuration to access an editable document in the fixed storage. Finally, the device can include a boot read only memory (ROM) programmed to selectively bootstrap into either the primary personal computing operating system or the auxiliary low-power consumption operating system.
    • 本发明的实施例提供了一种用于移动计算设备的低功率文档编辑模式的方法,系统和计算机程序产品。 在本发明的一个实施例中,电池供电的计算设备可以被配置用于电力优化文档编辑,计算设备。 该设备可以包括中央处理单元(CPU),两者都耦合到电池,存储器,固定存储器和单个计算机箱内的显示器。 该设备还可以包括主要个人计算操作系统以及每个存储在固定存储器中的辅助低功耗操作系统,每个操作系统包括访问固定存储器中的可编辑文档的配置。 最后,设备可以包括被编程为选择性地引导到主个人计算操作系统或辅助低功耗操作系统的引导只读存储器(ROM)。
    • 77. 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。