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    • 1. 发明授权
    • Apparatus, system and method for automatically making operational selling decisions
    • 自动进行营销决策的设备,系统和方法
    • US07203662B2
    • 2007-04-10
    • US09915986
    • 2001-07-25
    • Rajarshi DasJames E. HansonJeffrey O. KephartSteve R. White
    • Rajarshi DasJames E. HansonJeffrey O. KephartSteve R. White
    • G06Q40/00
    • G06Q30/08G06Q40/00G06Q40/04G06Q50/06G06Q50/188
    • An apparatus, system and method for automatically making operation selling decisions are provided. The apparatus, system and method make use of selling policy rules established by human operators associated with a firm to guide the making of decisions to sell products and/or services. The actual decisions to sell are made automatically by the system without requiring human intervention. The decisions to sell are made by negotiating terms of sale with a customer using history information, exogenous preference information, information obtained from third parties, and the like. An initial offer of sale is provided to a customer who may then elect to modify the terms of sale of the product or service. If the customer elects to modify the terms of sale of the product or service, a negotiation engine of the present invention may automatically provide counteroffers to offers made by the customer until acceptable terms of sale are agreed upon. The negotiation with the customer occurs within the framework established by the selling policy rules established by the human operators. Because the actual decisions are performed automatically without human intervention, the decisions may be made much more quickly than would have been done by a human being.
    • 提供了一种用于自动进行操作销售决策的设备,系统和方法。 设备,系统和方法利用与企业相关联的营运者制定的销售政策规则来指导制定销售产品和/或服务的决策。 销售的实际决定由系统自动进行,无需人为干预。 销售决定是通过使用历史信息,外生偏好信息,从第三方获得的信息等与顾客谈判销售条款进行的。 向可以选择修改产品或服务的销售条款的客户提供初始出售报价。 如果客户选择修改产品或服务的销售条款,则本发明的谈判引擎可以自动地提供对客户提供的优惠,直到达成可接受的销售条款。 与客户的谈判发生在由操作人员制定的销售政策规则确定的框架内。 因为实际的决定是在没有人为干预的情况下自动执行的,所以决定可能比人类做出的要快得多。
    • 3. 发明授权
    • Saving power by placing inactive computing devices in optimized configuration corresponding to a specific constraint
    • 通过将非活动计算设备置于与特定约束对应的优化配置中来节省电力
    • US08516284B2
    • 2013-08-20
    • US12939635
    • 2010-11-04
    • Hoi Y. ChanRajarshi DasJames E. HansonCanturk IsciJeffrey O. KephartDavid W. Levine
    • Hoi Y. ChanRajarshi DasJames E. HansonCanturk IsciJeffrey O. KephartDavid W. Levine
    • G06F1/26G06F1/32
    • G06F1/3234G06F1/3206G06F1/3209G06F1/3287G06F1/329G06F9/5094H04L67/00Y02D10/171Y02D10/22Y02D10/24
    • A system method and computer program product for managing readiness states of a plurality of computing devices. A programmed processor unit operates, upon receipt of a request, to either: provide one or more computing devices from an inactive pool to an active pool, or accept one or more active computing devices into the inactive pool. An Inactive Pool Manager proactively manages the inactive states of each computing device by: determining the desired number (and identities) of computing devices to be placed in each inactive state of readiness by solving a constraint optimization problem that describes a user-specified trade-off between expected readiness (estimated time to be able to activate computing devices when they are needed next) and conserving energy; generating a plan for changing the current set of inactive states to the desired set; and, executing the plan. Multiple alternative ways of quantifying the desired responsiveness to surges in demand are provided, and, in each case, the tradeoff between responsiveness and power savings is formulated as an objective function with constraints, and the desired number of devices in each inactive state emerges as the solution to a constraint optimization problem.
    • 一种用于管理多个计算设备的准备状态的系统方法和计算机程序产品。 编程处理器单元在接收到请求时操作:将一个或多个计算设备从非活动池提供到活动池,或接受一个或多个活动计算设备进入非活动池。 非活动池管理器通过以下方式主动管理每个计算设备的不活动状态:通过解决描述用户指定的权衡的约束优化问题来确定要置于每个无效状态的计算设备的期望数量(和身份) 在预期的准备状态(估计需要下一步需要激活计算设备的时间)并节约能源; 生成将当前的无效状态集合改变为所需集合的计划; 并执行该计划。 提供了量化需求浪涌的期望响应性的多种替代方法,并且在每种情况下,响应性和功率节省之间的折衷被形成为具有约束的目标函数,并且在每个非活动状态期间的期望数量的设备出现为 解决约束优化问题。
    • 5. 发明申请
    • SAVING POWER BY MANAGING THE STATE OF INACTIVE COMPUTING DEVICES
    • 通过管理不活动计算设备的状态来节省电力
    • US20120117399A1
    • 2012-05-10
    • US12939635
    • 2010-11-04
    • Hoi Y. ChanRajarshi DasJames E. HansonCanturk IsciJeffrey O. KephartDavid W. Levine
    • Hoi Y. ChanRajarshi DasJames E. HansonCanturk IsciJeffrey O. KephartDavid W. Levine
    • G06F1/00
    • G06F1/3234G06F1/3206G06F1/3209G06F1/3287G06F1/329G06F9/5094H04L67/00Y02D10/171Y02D10/22Y02D10/24
    • A system method and computer program product for managing readiness states of a plurality of computing devices. A programmed processor unit operates, upon receipt of a request, to either: provide one or more computing devices from an inactive pool to an active pool, or accept one or more active computing devices into the inactive pool. An Inactive Pool Manager proactively manages the inactive states of each computing device by: determining the desired number (and identities) of computing devices to be placed in each inactive state of readiness by solving a constraint optimization problem that describes a user-specified trade-off between expected readiness (estimated time to be able to activate computing devices when they are needed next) and conserving energy; generating a plan for changing the current set of inactive states to the desired set; and, executing the plan. Multiple alternative ways of quantifying the desired responsiveness to surges in demand are provided, and, in each case, the tradeoff between responsiveness and power savings is formulated as an objective function with constraints, and the desired number of devices in each inactive state emerges as the solution to a constraint optimization problem.
    • 一种用于管理多个计算设备的准备状态的系统方法和计算机程序产品。 编程处理器单元在接收到请求时操作:将一个或多个计算设备从非活动池提供到活动池,或接受一个或多个活动计算设备进入非活动池。 非活动池管理器通过以下方式主动管理每个计算设备的不活动状态:通过解决描述用户指定的权衡的约束优化问题来确定要置于每个无效状态的计算设备的期望数量(和身份) 在预期的准备状态(估计需要下一步需要激活计算设备的时间)并节约能源; 生成将当前的无效状态集合改变为所需集合的计划; 并执行该计划。 提供了量化需求浪涌的期望响应性的多种替代方法,并且在每种情况下,响应性和功率节省之间的折衷被形成为具有约束的目标函数,并且在每个非活动状态期间的期望数量的设备出现为 解决约束优化问题。