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公开(公告)号：US20060182141A1
公开(公告)日：2006-08-17
申请号：US11060358
申请日：2005-02-17
申请人： Surya Duggirala , Matthew Goshgarian , Niharika Joglekar , Bhushan Lokhande , Robert Wisniewski
发明人： Surya Duggirala , Matthew Goshgarian , Niharika Joglekar , Bhushan Lokhande , Robert Wisniewski
IPC分类号： G08C15/00 , H04L12/26 , G06F11/00 , H04J3/14 , H04J1/16 , H04L1/00 , G06F15/16 , G06F17/30 , G06F12/00 , H04J3/22 , H04J3/16 , G01R31/08
摘要： A server computer system includes a keep-alive autonomic adjustment mechanism that monitors current operating conditions and dynamically adjusts the keep-alive specification to optimize the keep-alives for the current operating conditions. The keep-alive autonomic adjustment mechanism monitors the total number of clients, and the average number of requests per client. The value of a keep-alive specification that determines how log to keep a connection open may be dynamically and autonomically adjusted by the keep-alive autonomic adjustment mechanism according to the monitored current operating conditions. The keep-alive autonomic adjustment mechanism may also include the ability to autonomically enable and disable the keep-alives. In this manner the performance of the server may be tuned to optimize the effect of using keep-alives according to current operating conditions.
摘要翻译： 服务器计算机系统包括保持活动的自主调节机制，其监视当前操作条件并动态地调整保持活动规范以优化当前操作条件的保持活动。 保持活动的自主调整机制监控客户端的总数，以及每个客户端的平均请求次数。 根据监控的当前操作条件，保持活动自动调整机制可以动态地和自主地调整保持连接打开日志的保持规范的价值。 保持活动的自主调整机制还可以包括自主启用和禁用保持活力的能力。 以这种方式，可以调整服务器的性能以优化根据当前操作条件使用保持密码的效果。
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公开(公告)号：US20060294041A1
公开(公告)日：2006-12-28
申请号：US11165382
申请日：2005-06-23
IPC分类号： G06F17/30
摘要： A method, apparatus, system, and signal-bearing medium that, in an embodiment, receive configuration data from a development environment, determine a component based on reading an identifier of the component from a list of all possible components, install the component to an application server if the component exists in the configuration data but is not already installed in the application server, and remove the component from the application server if the component is already installed in the application server but does not exist in the configuration data. A rule is determined for the component based on policy data, where the configuration data may include the policy data. Either the application server or the component is configured via the rule. In this way, components may be automatically installed and tuned in an application server.
摘要翻译： 在一个实施例中，从开发环境接收配置数据的方法，装置，系统和信号承载介质基于从所有可能组件的列表中读取组件的标识符来确定组件，将组件安装到 应用程序服务器，如果组件存在于配置数据中但尚未安装在应用程序服务器中，并且如果组件已经安装在应用程序服务器中，但不存在于配置数据中，则从应用程序服务器中删除该组件。 基于策略数据确定组件的规则，其中配置数据可以包括策略数据。 通过规则配置应用程序服务器或组件。 以这种方式，可以在应用服务器中自动安装和调整组件。
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公开(公告)号：US20070006070A1
公开(公告)日：2007-01-04
申请号：US11171714
申请日：2005-06-30
IPC分类号： G06F17/00
CPC分类号： H04L67/10 , G06F9/5066 , G06F9/5072 , G06F16/24534 , G06F16/958
摘要： A method, apparatus, system, and signal-bearing medium that, in an embodiment, determine units of work in a page, join selected pairs of the units of work with lowest complexity metrics until all of the units of work have complexity metrics that are less than a threshold. The joining is subject to rules of a dependency graph, which indicates data dependency relationships of the units of work. The selected joined pairs are then encapsulated into a processing unit, which is sent to multiple grid servers. Responses from the grid servers are used to assemble dynamic content into the page. In an embodiment, the complexity metrics are then modified based on an exponential moving average of responses times of the units of work. In this way, in an embodiment, the performance of assembling the page may be increased.
摘要翻译： 一种方法，装置，系统和信号承载介质，其在一个实施例中确定页面中的工作单位，以最低复杂性度量加入所选择的工作单元对，直到所有工作单元具有复杂度度量 小于阈值。 加入受制于依赖图的规则，表示工作单位的数据依赖关系。 所选择的连接对然后被封装到处理单元中，该处理单元被发送到多个网格服务器。 网格服务器的响应用于将动态内容组合到页面中。 在一个实施例中，然后基于工作单元的响应时间的指数移动平均值来修改复杂性度量。 以这种方式，在一个实施例中，可以增加组装页面的性能。
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公开(公告)号：US20070028098A1
公开(公告)日：2007-02-01
申请号：US11191404
申请日：2005-07-28
IPC分类号： H04L9/00
CPC分类号： H04L63/0428 , G06F9/5072 , H04L63/104
摘要： A method, apparatus, system, and signal-bearing medium that, in an embodiment, determine a cipher strength based on a trust level associated with a request, create a unit of work based on the request, encrypt the unit of work into a message based on the cipher strength, and send the message to grid servers. In various embodiments, the trust level may be determined based on a security token associated with the request or based on a zone from which the request originates. In various embodiments, the request originates from a client that belongs to the zone or originates from one of the grid servers that belongs to the zone. In an embodiment, a request from a grid server may be associated with a response to a previous unit of work that the grid server executed.
摘要翻译： 一种方法，装置，系统和信号承载介质，其在一个实施例中基于与请求相关联的信任级别来确定密码强度，基于该请求创建工作单元，将工作单元加密成消息 基于密码强度，并将消息发送到网格服务器。 在各种实施例中，信任级别可以基于与请求相关联的安全令牌或基于请求发起的区域来确定。 在各种实施例中，请求源自属于该区域的客户端，或者源于属于该区域的网格服务器之一。 在一个实施例中，来自网格服务器的请求可以与对网格服务器执行的先前工作单元的响应相关联。
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公开(公告)号：US20070005530A1
公开(公告)日：2007-01-04
申请号：US11138938
申请日：2005-05-26
IPC分类号： G06F15/18
CPC分类号： G06F9/5066
摘要： A method, apparatus, system, and signal-bearing medium that, in an embodiment, send units of work to grid executors, create training data based on the performance of the grid executors, and train a neural network via the training data. The training data includes pairs of input and output data, where the input data is the types of the units of work and the output data is the service strengths of the grid executors. Once the neural network has been trained, subsequent units of work have their grid executors selected by inputting the types of the units of work to the neural network and receiving a service strength from the neural network as output. The grid executors are then selected based on the output service strength from the neural network. In this way, in an embodiment, the grid performance may be increased.
摘要翻译： 一种在一个实施例中，向网格执行器发送工作单元的方法，装置，系统和信号承载介质，基于网格执行器的性能创建训练数据，并且经由训练数据训练神经网络。 培训数据包括输入和输出数据对，其中输入数据是工作单元的类型，输出数据是网格执行器的服务强度。 一旦神经网络被训练，随后的工作单元通过将神经网络的工作单元的类型输入并从神经网络接收服务强度作为输出来选择其网格执行器。 然后基于来自神经网络的输出服务强度来选择网格执行器。 以这种方式，在一个实施例中，可以增加电网性能。
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