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32 条记录 (耗时 0.023 秒)

    Hardware architecture for cloud services
    1.
    发明授权
    Hardware architecture for cloud services 有权
    云服务的硬件体系结构

    公开(公告)号：US08014308B2

    公开(公告)日：2011-09-06

    申请号：US11536534

    申请日：2006-09-28

    申请人： William H. Gates, III ,  Gary W. Flake ,  William J. Bolosky ,  Nishant V. Dani ,  Daniel S. Glasser ,  Alexander G. Gounares ,  James R. Larus ,  Matthew B. MacLaurin ,  Henricus Johannes Maria Meijer

    发明人： William H. Gates, III ,  Gary W. Flake ,  William J. Bolosky ,  Nishant V. Dani ,  Daniel S. Glasser ,  Alexander G. Gounares ,  James R. Larus ,  Matthew B. MacLaurin ,  Henricus Johannes Maria Meijer

    IPC分类号： H04L12/26

    CPC分类号： H04L12/66

    摘要： The claimed subject matter provides systems and/or methods that facilitate dynamically allocating resources (e.g., hardware, software, . . . ) supported by a third party service provider. The third party service provider can support any number of services that can be concurrently requested by several clients without user perception of degraded computing performance as compared to conventional systems/techniques due to improved connectivity and mitigated latencies. An interface component can receive a request from a client device. Further, a dynamic allocation component can apportion resources (e.g., hardware resources) supported by the third party service provider to process and respond to the request based at least in part upon subscription data. Moreover, a user state evaluator can determine a state associated with a user and/or the client device; the state can be utilized by the dynamic allocation component to tailor resource allocation.

    摘要翻译： 所要求保护的主题提供有助于动态地分配由第三方服务提供商支持的资源（例如，硬件，软件，...）的系统和/或方法。 与传统的系统/技术相比，由于改进的连接性和缓解的延迟，第三方服务提供商可以支持多个客户端可以同时请求的任何数量的服务，而不需要用户对劣化计算性能的感知。 接口组件可以从客户端设备接收请求。 此外，动态分配组件可以至少部分地基于订阅数据来分配由第三方服务提供商支持的资源（例如，硬件资源）来处理和响应该请求。 此外，用户状态评估器可以确定与用户和/或客户端设备相关联的状态; 动态分配组件可以利用状态来调整资源分配。

    COMMERCE AND ADVERTISEMENT BASED ON EXPLICIT CONSUMER'S VALUE COST PROPOSITION
    3.
    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。

    HARDWARE ARCHITECTURE FOR CLOUD SERVICES
    6.
    发明申请
    HARDWARE ARCHITECTURE FOR CLOUD SERVICES 有权
    云计算硬件架构

    公开(公告)号：US20080080552A1

    公开(公告)日：2008-04-03

    申请号：US11536534

    申请日：2006-09-28

    申请人： William H. Gates ,  Gary W. Flake ,  William J. Bolosky ,  Nishant V. Dani ,  Daniel S. Glasser ,  Alexander G. Gounares ,  James R. Larus ,  Matthew B. MacLaurin ,  Henricus Johannes Maria Meijer

    发明人： William H. Gates ,  Gary W. Flake ,  William J. Bolosky ,  Nishant V. Dani ,  Daniel S. Glasser ,  Alexander G. Gounares ,  James R. Larus ,  Matthew B. MacLaurin ,  Henricus Johannes Maria Meijer

    IPC分类号： H04J3/22

    CPC分类号： H04L12/66

    摘要： The claimed subject matter provides systems and/or methods that facilitate dynamically allocating resources (e.g., hardware, software, . . . ) supported by a third party service provider. The third party service provider can support any number of services that can be concurrently requested by several clients without user perception of degraded computing performance as compared to conventional systems/techniques due to improved connectivity and mitigated latencies. An interface component can receive a request from a client device. Further, a dynamic allocation component can apportion resources (e.g., hardware resources) supported by the third party service provider to process and respond to the request based at least in part upon subscription data. Moreover, a user state evaluator can determine a state associated with a user and/or the client device; the state can be utilized by the dynamic allocation component to tailor resource allocation.

    摘要翻译： 所要求保护的主题提供有助于动态分配由第三方服务提供商支持的资源（例如，硬件，软件，...）的系统和/或方法。 与传统的系统/技术相比，由于改进的连接性和缓解的延迟，第三方服务提供商可以支持多个客户端可以同时请求的任何数量的服务，而不需要用户对劣化计算性能的感知。 接口组件可以从客户端设备接收请求。 此外，动态分配组件可以至少部分地基于订阅数据来分配由第三方服务提供商支持的资源（例如，硬件资源）来处理和响应该请求。 此外，用户状态评估器可以确定与用户和/或客户端设备相关联的状态; 动态分配组件可以利用状态来调整资源分配。

    Load balancing of chat servers based on gradients
    7.
    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。