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    Method for building enterprise scalability models from production data
    2.
    发明授权
    Method for building enterprise scalability models from production data 有权
    从生产数据构建企业可扩展性模型的方法

    公开(公告)号：US08271643B2

    公开(公告)日：2012-09-18

    申请号：US12462547

    申请日：2009-08-05

    申请人： Paul T. Barnett ,  Timothy E. Wise ,  Allan Drew Clarke ,  Richard Gimarc ,  James Reynolds ,  Amy Spellmann

    发明人： Paul T. Barnett ,  Timothy E. Wise ,  Allan Drew Clarke ,  Richard Gimarc ,  James Reynolds ,  Amy Spellmann

    IPC分类号： G06F15/173

    CPC分类号： G06Q10/06 ,  G06Q10/04

    摘要： The invention provides a method for preparing a discrete event simulation model of a production network including a client and a plurality of servers on a plurality of network tiers connected by a network comprising the steps of executing a business function from the client on the production network, gathering resource data from the plurality of servers, normalizing the resource data, calculating a consumption of resources used by the plurality of servers, estimating a transaction cost associated with the consumption of resources and building a discrete event simulation model from the transaction cost.

    摘要翻译： 本发明提供了一种制造生产网络的离散事件仿真模型的方法，该生产网络包括由网络连接的多个网络层上的客户机和多个服务器，包括以下步骤：从生产网络上的客户端执行业务功能， 从所述多个服务器收集资源数据，规范化所述资源数据，计算所述多个服务器使用的资源的消耗，估计与所述资源消耗相关联的交易成本，以及从所述交易成本构建离散事件模拟模型。

    Method for building enterprise scalability models from production data
    3.
    发明授权
    Method for building enterprise scalability models from production data 有权
    从生产数据构建企业可扩展性模型的方法

    公开(公告)号：US07676569B2

    公开(公告)日：2010-03-09

    申请号：US11345415

    申请日：2006-02-01

    申请人： Paul T. Barnett ,  Timothy E. Wise ,  Allan Drew Clarke ,  Richard Gimarc ,  James Reynolds ,  Amy Spellmann

    发明人： Paul T. Barnett ,  Timothy E. Wise ,  Allan Drew Clarke ,  Richard Gimarc ,  James Reynolds ,  Amy Spellmann

    IPC分类号： G06F15/173

    CPC分类号： G06Q10/04 ,  G06Q10/06

    摘要： The invention provides a method for preparing a discrete event simulation model of a production network including a client and a plurality of servers on a plurality of network tiers connected by a network comprising the steps of executing a business function from the client on the production network, gathering resource data from the plurality of servers, normalizing the resource data, calculating a consumption of resources used by the plurality of servers, estimating a transaction cost associated with the consumption of resources and building a discrete event simulation model from the transaction cost.

    摘要翻译： 本发明提供了一种制造生产网络的离散事件仿真模型的方法，该生产网络包括由网络连接的多个网络层上的客户机和多个服务器，包括以下步骤：从生产网络上的客户端执行业务功能， 从所述多个服务器收集资源数据，规范化所述资源数据，计算所述多个服务器使用的资源的消耗，估计与所述资源消耗相关联的交易成本，以及从所述交易成本构建离散事件模拟模型。

    Method for building enterprise scalability models from load test and trace test data
    4.
    发明授权
    Method for building enterprise scalability models from load test and trace test data 有权
    从负载测试和跟踪测试数据构建企业可扩展性模型的方法

    公开(公告)号：US07818150B2

    公开(公告)日：2010-10-19

    申请号：US11374826

    申请日：2006-03-13

    申请人： Paul T. Barnett ,  Timothy E. Wise ,  Allan Drew Clarke ,  Richard Gimarc ,  James Reynolds

    发明人： Paul T. Barnett ,  Timothy E. Wise ,  Allan Drew Clarke ,  Richard Gimarc ,  James Reynolds

    IPC分类号： G06F7/48

    CPC分类号： G06F11/3495 ,  G06F11/3409 ,  G06F11/3447 ,  G06F11/3461 ,  G06F2201/835 ,  G06F2201/86 ,  G06F2201/87 ,  G06F2201/875 ,  G06F2201/88

    摘要： A method is disclosed that preparing a discrete event simulation model of a production network is provided including a client and a plurality of servers connected by a network comprising the steps of initiating a single business function trace test on the production network; gathering network flow trace data from the network; deriving a transaction summary from the network flow trace data; initiating a single business function load test on the production network; gathering resource data from the plurality of servers; normalizing the resource data; gathering web log data from at least one server from the plurality of servers; calculating a number of business functions running on the production network; calculating a consumption of resources used by the plurality of servers; calculating a business function cost associated with the consumption of resources; creating a business function profile from the transaction summary and the business function cost; and building a discrete event simulation model from the business function profile.

    摘要翻译： 提供了一种制备生产网络的离散事件仿真模型的方法，包括客户机和由网络连接的多个服务器，包括在生产网络上启动单个业务功能跟踪测试的步骤; 从网络收集网络流量跟踪数据; 从网络流跟踪数据导出事务摘要; 在生产网络上启动单一业务功能负载测试; 从所述多个服务器收集资源数据; 归一化资源数据; 从多个服务器收集来自至少一个服务器的Web日志数据; 计算生产网络上运行的业务功能的数量; 计算多个服务器使用的资源的消耗; 计算与资源消耗相关的业务功能成本; 从交易总结和业务功能成本创建业务功能配置文件; 并从业务功能配置文件构建离散事件仿真模型。