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    COMMERCE AND ADVERTISEMENT BASED ON EXPLICIT CONSUMER'S VALUE COST PROPOSITION
    23.
    发明申请
    COMMERCE AND ADVERTISEMENT BASED ON EXPLICIT CONSUMER'S VALUE COST PROPOSITION 审中-公开
    基于明确消费者价值成本计算的商业和广告

    公开(公告)号：US20090271255A1

    公开(公告)日：2009-10-29

    申请号：US12109136

    申请日：2008-04-24

    申请人： Brian James Utter ,  Nishant V. Dani ,  Alexander G. Gounares ,  Michael Conte

    发明人： Brian James Utter ,  Nishant V. Dani ,  Alexander G. Gounares ,  Michael Conte

    IPC分类号： G06Q30/00

    CPC分类号： G06Q30/02 ,  G06Q30/0207 ,  G06Q30/0251

    摘要： System(s) and method(s) are provided to drive commercial transactions and advertisement based on explicit consumer's value-cost propositions. Value-cost propositions express consumer's desires with respect to parameters related to a commercial transaction product price point, sensitivity to price and time, preferred shipping mechanism(s), contractor reputation, supply chain utilized by contractor, and so on. A component registers consumers to submit their value-cost propositions, and aggregates the information so conveyed to generate a market latent demand. The latter is conveyed to a set of advertisers, who respond to the latent demand by (i) adjusting their cost-profit propositions or (ii) countering the consumer's value-cost propositions. Commerce driven through explicit value-cost propositions can be effected within an intent-compensation user price incentive scheme, wherein compensation is issued through advertisement in response to consumer's conveyed intent, which includes value-cost propositions, in engaging in a commercial transaction with a service platform.

    摘要翻译： 提供系统和方法以根据明确的消费者的价值成本主张推动商业交易和广告。 价值成本主张表达消费者对商业交易产品价格点的敏感性，价格和时间的敏感性，优选运输机制，承包商声誉，承包商利用的供应链等参数的需求。 一个组件注册消费者提交其价值成本主张，并汇集所传达的信息以产生市场潜在需求。 后者转达给一组广告客户，他们通过（i）调整其成本利润主张或（ii）抵制消费者的价值成本主张来响应潜在需求。 通过明确的价值成本主张驱动的商业可以在意图补偿用户价格激励计划中实现，其中通过广告发布补偿，以响应消费者的传达意图（包括价值成本主张），在与服务进行商业交易时 平台。

    AGGREGATED RESOURCE LICENSE
    25.
    发明申请
    AGGREGATED RESOURCE LICENSE 审中-公开
    综合资源许可

    公开(公告)号：US20080083040A1

    公开(公告)日：2008-04-03

    申请号：US11536869

    申请日：2006-09-29

    申请人： Nishant V. Dani ,  William H. Gates ,  Thomas F. Bergstraesser ,  Lili Cheng ,  Daniel S. Glasser ,  Henricus Johannes Maria Meijer ,  Ira L. Snyder ,  Melora Zaner-Godsey

    发明人： Nishant V. Dani ,  William H. Gates ,  Thomas F. Bergstraesser ,  Lili Cheng ,  Daniel S. Glasser ,  Henricus Johannes Maria Meijer ,  Ira L. Snyder ,  Melora Zaner-Godsey

    IPC分类号： H04L9/32

    CPC分类号： H04L9/3231 ,  H04L9/3271 ,  H04L63/0807 ,  H04L63/10 ,  H04L2209/80 ,  H04L2463/101

    摘要： A user-centric or identity-centric resource licensing system that manages access to ‘cloud-based’ resources (e.g., applications and services) is provided. A ‘cloud’ refers to a collection of resources (e.g., hardware and/or software) provided and maintained by an off-site or off-premise party (e.g., third party), wherein the collection of resources can be accessed by an identified user via a network. In accordance with the user-centric licensing model, the resource license (and subscription) rights can migrate with a user without regard to physical location, device used, or other contextual factors (e.g., activity engaged). Effectively, the rights are mapped (and tracked) as a function of a user identity, which can be a core identity or an identity based upon activity engaged, role, capacity, etc.

    摘要翻译： 提供以用户为中心或以身份为中心的资源许可系统，其管理对“基于云”的资源（例如，应用和服务）的访问。 “云”是指由场外或场外派对（例如，第三方）提供和维护的资源（例如，硬件和/或软件）的集合，其中资源的收集可以被识别的 用户通过网络。 根据以用户为中心的许可模式，资源许可证（和订阅）权限可以与用户一起迁移，而不考虑物理位置，使用的设备或其他上下文因素（例如，所涉及的活动）。 有效地，权利被映射（和跟踪）作为用户身份的功能，其可以是基于活动，角色，能力等的核心身份或身份。

    REMOTE MANAGEMENT OF RESOURCE LICENSE
    26.
    发明申请
    REMOTE MANAGEMENT OF RESOURCE LICENSE 有权
    资源许可远程管理

    公开(公告)号：US20080083025A1

    公开(公告)日：2008-04-03

    申请号：US11613332

    申请日：2006-12-20

    申请人： Henricus Johannes Maria Meijer ,  William H. Gates ,  Thomas F. Bergstraesser ,  Lili Cheng ,  Nishant V. Dani ,  Daniel S. Glasser ,  Ira L. Snyder ,  Melora Zaner-Godsey

    发明人： Henricus Johannes Maria Meijer ,  William H. Gates ,  Thomas F. Bergstraesser ,  Lili Cheng ,  Nishant V. Dani ,  Daniel S. Glasser ,  Ira L. Snyder ,  Melora Zaner-Godsey

    IPC分类号： H04L9/32

    CPC分类号： H04L9/3231 ,  H04L9/3234 ,  H04L9/3271 ,  H04L63/0807 ,  H04L63/10 ,  H04L2209/80 ,  H04L2463/101

    摘要： A user-centric or identity-centric resource licensing system that manages access to ‘cloud-based’ resources (e.g., applications and services) is provided. A ‘cloud’ refers to a collection of resources (e.g., hardware and/or software) provided and maintained by an off-site or off-premise party (e.g., third party), wherein the collection of resources can be accessed by an identified user via a network. In accordance with the user-centric licensing model, the resource license (and subscription) rights can migrate with a user without regard to physical location, device used, or other contextual factors (e.g., activity engaged). Effectively, the rights are mapped (and tracked) as a function of a user identity, which can be a core identity or an identity based upon activity engaged, role, capacity, etc.

    摘要翻译： 提供以用户为中心或以身份为中心的资源许可系统，其管理对“基于云”的资源（例如，应用和服务）的访问。 “云”是指由场外或场外派对（例如，第三方）提供和维护的资源（例如，硬件和/或软件）的集合，其中资源的收集可以被识别的 用户通过网络。 根据以用户为中心的许可模式，资源许可证（和订阅）权限可以与用户一起迁移，而不考虑物理位置，使用的设备或其他上下文因素（例如，所涉及的活动）。 有效地，权利被映射（和跟踪）作为用户身份的功能，其可以是基于活动，角色，能力等的核心身份或身份。

    Identification of active server cluster controller
    27.
    发明授权
    Identification of active server cluster controller 有权
    标识活动服务器集群控制器

    公开(公告)号：US06675199B1

    公开(公告)日：2004-01-06

    申请号：US09611318

    申请日：2000-07-06

    申请人： Farookh P. Mohammed ,  Nishant V. Dani

    发明人： Farookh P. Mohammed ,  Nishant V. Dani

    IPC分类号： G06F1516

    CPC分类号： H04L67/1002 ,  H04L69/40

    摘要： A failover algorithm implemented in software, without any failover-specific hardware, that allows servers in a cluster to determine whether a primary or secondary controller is active without requiring communication between the primary and secondary controllers. A server cluster includes several servers coupled to two servers, which are designated as a primary controller and a secondary controller. While the server cluster is operational, either the primary controller or the secondary controller will be actively controlling the cluster. Software running on the servers of the cluster, on the primary controller, and on the secondary controller, cooperates to ensure that each server will properly identify which controller is active at any particular time, including, but not limited to, upon starting up the server cluster, upon adding one or more servers to a cluster that is already operation, and upon failure of an active controller, a server, or a link between an active controller and a server. The failover algorithm includes the following steps performed by each of a group of servers in the cluster for identifying which controller is active: making the server's own assessment of the active controller; and identifying either the primary controller or the secondary controller as a consensus active controller based upon a majority vote of the own assessments by each server in the cluster as to which controller is the active controller.

    摘要翻译： 在软件中实现的故障转移算法，没有任何特定于故障切换的硬件，允许集群中的服务器确定主控制器或辅助控制器是否处于活动状态，而不需要主控制器和辅助控制器之间的通信。 服务器集群包括耦合到两个服务器的几个服务器，它们被指定为主控制器和辅助控制器。 当服务器集群运行时，主控制器或辅助控制器将主动控制集群。 在集群，主控制器和辅助控制器的服务器上运行的软件协作确保每个服务器在任何特定时间正确地识别哪个控制器处于活动状态，包括但不限于启动服务器 在将一个或多个服务器添加到已经在运行的集群上以及主动控制器，服务器或主动控制器与服务器之间的链接失败时，将集群。 故障转移算法包括由集群中的一组服务器执行的以下步骤，以识别哪个控制器处于活动状态：使服务器自己对主动控制器进行评估; 并且基于由群集中的每个服务器对于哪个控制器是主动控制器的自己的评估的多数投票，将主控制器或辅助控制器识别为一致的主动控制器。

    Load balancing of chat servers based on gradients
    29.
    发明授权
    Load balancing of chat servers based on gradients 有权
    基于梯度的聊天服务器的负载平衡

    公开(公告)号：US06763372B1

    公开(公告)日：2004-07-13

    申请号：US09611314

    申请日：2000-07-06

    申请人： Nishant V. Dani ,  Farookh P. Mohammed

    发明人： Nishant V. Dani ,  Farookh P. Mohammed

    IPC分类号： G06F1516

    CPC分类号： H04L12/1827 ,  H04L29/1215 ,  H04L61/1564 ,  H04L67/1002 ,  H04L67/1008

    摘要： A method for determining a load distribution for a plurality of servers is disclosed. A total user count during a predetermined interval of time is received from each server of a plurality of servers for all channel resources associated with each respective server of the plurality of servers. A present load distribution is determined for the predetermined interval of time for each respective server of the plurality of servers based on the total user count received from each server. A load gradient is determined for the predetermined interval of time from each server of the plurality of servers. A future load distribution is determined for each respective server based on the total user count for each server and each respective load gradient. Lastly, a load distribution for each respective channel resource is distributed among the plurality of servers based on the determined future load distribution for each respective channel resource. The predetermined interval of time is a sliding window of time having a predetermined number of timeslots each having a predetermined timeslot interval. Additionally, a load gradient for a server is based on a difference between the total number of users connected to the server at the end of the predetermined interval of time and the total number of users connected to the server at the beginning of the predetermined interval of time. When a new channel resource is created, an initial estimated weight is assigned to the new channel resource. The new channel resource is then assigned to a selected server of the plurality of servers based on the initial estimated weight associated with the new channel resource and a load distribution associated with each respective server of the plurality of servers.

    摘要翻译： 公开了一种用于确定多个服务器的负载分布的方法。 从多个服务器的每个服务器接收与多个服务器中的每个相应服务器相关联的所有信道资源的预定时间间隔内的总用户计数。 基于从每个服务器接收的总用户数量，确定多个服务器中的每个服务器的预定时间间隔的当前负载分布。 在多个服务器中的每个服务器的预定时间间隔内确定负载梯度。 基于每个服务器的总用户数和每个相应的负载梯度，确定每个相应服务器的未来负载分布。 最后，基于所确定的每个相应信道资源的未来负载分布，在多个服务器之间分配每个各个信道资源的负载分布。 预定的时间间隔是具有预定数量的时隙的滑动窗口，每个时隙具有预定的时隙间隔。 此外，服务器的负载梯度基于在预定时间间隔结束时连接到服务器的用户总数与在服务器的预定间隔开始时连接到服务器的总用户数之间的差异 时间。 当创建新的信道资源时，初始估计权重被分配给新的信道资源。 然后，基于与新信道资源相关联的初始估计权重和与多个服务器中的每个相应服务器相关联的负载分布，将新信道资源分配给多个服务器中的选定服务器。

    Load balancing of chat servers based on gradients
    30.
    发明授权
    Load balancing of chat servers based on gradients 有权
    基于梯度的聊天服务器的负载平衡

    公开(公告)号：US07310802B2

    公开(公告)日：2007-12-18

    申请号：US10843400

    申请日：2004-05-11

    申请人： Nishant V. Dani ,  Farookh P. Mohammed

    发明人： Nishant V. Dani ,  Farookh P. Mohammed

    IPC分类号： G06F9/00 ,  G06F7/00

    CPC分类号： H04L12/1827 ,  H04L29/1215 ,  H04L61/1564 ,  H04L67/1002 ,  H04L67/1008

    摘要： A method for determining a load distribution for a plurality of servers is disclosed. A total user count during a predetermined interval of time is received from each server of a plurality of servers for all channel resources associated with each respective server of the plurality of servers. A present load distribution is determined for the predetermined interval of time for each respective server of the plurality of servers based on the total user count received from each server. A load gradient is determined for the predetermined interval of time from each server of the plurality of servers. A future load distribution is determined for each respective server based on the total user count for each server and each respective load gradient. Lastly, a load distribution for each respective channel resource is distributed among the plurality of servers based on the determined future load distribution for each respective channel resource. The predetermined interval of time is a sliding window of time having a predetermined number of timeslots each having a predetermined timeslot interval. Additionally, a load gradient for a server is based on a difference between the total number of users connected to the server at the end of the predetermined interval of time and the total number of users connected to the server at the beginning of the predetermined interval of time. When a new channel resource is created, an initial estimated weight is assigned to the new channel resource. The new channel resource is then assigned to a selected server of the plurality of servers based on the initial estimated weight associated with the new channel resource and a load distribution associated with each respective server of the plurality of servers.

    摘要翻译： 公开了一种用于确定多个服务器的负载分布的方法。 从多个服务器的每个服务器接收与多个服务器中的每个相应服务器相关联的所有信道资源的预定时间间隔内的总用户计数。 基于从每个服务器接收的总用户数量，确定多个服务器中的每个服务器的预定时间间隔的当前负载分布。 在多个服务器中的每个服务器的预定时间间隔内确定负载梯度。 基于每个服务器的总用户数和每个相应的负载梯度，确定每个相应服务器的未来负载分布。 最后，基于所确定的每个相应信道资源的未来负载分布，在多个服务器之间分配每个各个信道资源的负载分布。 预定的时间间隔是具有预定数量的时隙的滑动窗口，每个时隙具有预定的时隙间隔。 此外，服务器的负载梯度基于在预定时间间隔结束时连接到服务器的用户总数与在服务器的预定间隔开始时连接到服务器的总用户数之间的差异 时间。 当创建新的信道资源时，初始估计权重被分配给新的信道资源。 然后，基于与新信道资源相关联的初始估计权重和与多个服务器中的每个相应服务器相关联的负载分布，将新信道资源分配给多个服务器中的选定服务器。