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1.发明申请公开(公告)号：US20100057641A1
公开(公告)日：2010-03-04
申请号：US12203345
申请日：2008-09-03
IPC分类号： G06F17/00
CPC分类号： G06Q10/04 , G06Q10/06 , G06Q10/063 , G06Q30/0283 , G06Q50/06 , Y02P90/82
摘要： 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.
摘要翻译： 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。
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2.发明授权公开(公告)号：US08086544B2
公开(公告)日：2011-12-27
申请号：US12203345
申请日：2008-09-03
CPC分类号： G06Q10/04 , G06Q10/06 , G06Q10/063 , G06Q30/0283 , G06Q50/06 , Y02P90/82
摘要： 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.
摘要翻译： 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。
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3.发明授权Method for gathering mobile consumer-initiated business service look-up requests 有权收集移动消费者启动的业务服务查找请求的方法公开(公告)号：US07516013B1
公开(公告)日：2009-04-07
申请号：US12142874
申请日：2008-06-20
申请人： Rick A. Hamilton, II , Steven A. Steigmeyer , Brian M. O'Connel , Keith R. Walker , Steven V. Jackson
发明人： Rick A. Hamilton, II , Steven A. Steigmeyer , Brian M. O'Connel , Keith R. Walker , Steven V. Jackson
IPC分类号： G06F7/08
CPC分类号： G06Q30/02 , Y10S707/99952
摘要： A method for receiving consumer-initiated business service look-up requests entered into a GPS unit, along with the corresponding geographic location the request was entered. These requests are received at a Central Processing Station whereupon the data is analyzed to identify concentrations of similar requests within a geographic region.
摘要翻译： 用于接收输入到GPS单元的消费者启动的业务服务查询请求的方法以及请求被输入的对应的地理位置。 这些请求在中央处理站接收，因此分析数据以识别地理区域内类似请求的浓度。
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