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    • 2. 发明申请
    • EXTENDABLE BUSINESS TYPE SYSTEM IN A PERFORMANCE MANAGEMENT PLATFORM
    • 性能管理平台中可扩展的业务类型系统
    • US20100146014A1
    • 2010-06-10
    • US12328169
    • 2008-12-04
    • Marius IonescuKevin P. WhiteGeorge Randy DongMark Xiaohong YangLuming Wang
    • Marius IonescuKevin P. WhiteGeorge Randy DongMark Xiaohong YangLuming Wang
    • G06F17/30G06F7/00
    • G06Q10/06
    • Architecture for operating an industrial solution on top of a performance management platform using a custom business type library. The platform can plug/unplug the custom business type library, interacts with the type library to ensure data integrity and enforce business rules, and simplifies localizations of the industrial solution. The custom type library extends the capability to define specific behavior for models and dimensions, and create and define content specific to any industry, reuse, and packaging. The custom type library inherits from a generic type library of the platform. The customized type library defines business object types and associates business rules therewith. Through a common interface, the performance management platform can iterate through the business rule chains and enforce/apply the business rules during the operations.
    • 使用自定义业务类型库在性能管理平台之上运行工业解决方案的体系结构。 该平台可以插拔自定义业务类型库,与类型库进行交互,以确保数据完整性和强制执行业务规则,并简化工业解决方案的本地化。 定制类型库扩展了为模型和维度定义特定行为的能力,并创建和定义特定于任何行业,重用和包装的内容。 自定义类型库从平台的通用类型库继承。 定制类型库定义业务对象类型并将其与业务规则相关联。 通过一个通用的界面,性能管理平台可以遍历业务规则链,并在操作过程中执行/应用业务规则。
    • 5. 发明授权
    • Scalable selection management
    • 可扩展选择管理
    • US09223814B2
    • 2015-12-29
    • US12275211
    • 2008-11-20
    • Rajeev V. KarunakaranRou-Peng HuangPablo BarvoMark Xiaohong Yang
    • Rajeev V. KarunakaranRou-Peng HuangPablo BarvoMark Xiaohong Yang
    • G06F17/30
    • G06F17/30342G06F17/30312G06F17/30315G06F17/30336
    • Architecture for handling large data selections with small and substantially constant memory footprints. The architecture facilitates the creation of sets of data objects (e.g., rows) of a data source based on selection of the data objects. The set structures can be defined according to a range (span) of data objects selected and a pattern of the objects selected. These set structures are then saved in memory, rather than the data objects, to provide optimized memory usage. In a database implementation, the solution stores the set representation (the structure) in nearly a constant amount of memory, regardless of the number of rows in the grid, and regardless of the number of rows selected. Memory usage can be proportional to the number of discontinuous spans of rows selected by the user. Structures in memory can be consolidated, replaced, or eliminated dynamically as the user changes row selections and pattern criteria.
    • 用于处理具有小且基本恒定的内存占用空间的大数据选择的架构。 该架构有助于基于数据对象的选择来创建数据源的数据对象集合(例如,行)。 可以根据所选择的数据对象的范围(span)和所选对象的模式来定义集合结构。 然后将这些设置结构保存在内存中,而不是数据对象中,以提供优化的内存使用。 在数据库实现中,解决方案将集合表示(结构)存储在几乎恒定的内存量中,而不管网格中的行数如何,而不考虑所选行数。 内存使用量可以与用户选择的不连续行数成正比。 随着用户更改行选择和模式标准,内存中的结构可以动态合并,替换或消除。
    • 6. 发明申请
    • SCALABLE SELECTION MANAGEMENT
    • 可选择选择管理
    • US20100125578A1
    • 2010-05-20
    • US12275211
    • 2008-11-20
    • Rajeev V. KarunakaranRou-Peng HuangPablo BarvoMark Xiaohong Yang
    • Rajeev V. KarunakaranRou-Peng HuangPablo BarvoMark Xiaohong Yang
    • G06F7/06G06F17/30
    • G06F17/30342G06F17/30312G06F17/30315G06F17/30336
    • Architecture for handling large data selections with small and substantially constant memory footprints. The architecture facilitates the creation of sets of data objects (e.g., rows) of a data source based on selection of the data objects. The set structures can be defined according to a range (span) of data objects selected and a pattern of the objects selected. These set structures are then saved in memory, rather than the data objects, to provide optimized memory usage. In a database implementation, the solution stores the set representation (the structure) in nearly a constant amount of memory, regardless of the number of rows in the grid, and regardless of the number of rows selected. Memory usage can be proportional to the number of discontinuous spans of rows selected by the user. Structures in memory can be consolidated, replaced, or eliminated dynamically as the user changes row selections and pattern criteria.
    • 用于处理具有小且基本恒定的内存占用空间的大数据选择的架构。 该架构有助于基于数据对象的选择来创建数据源的数据对象集合(例如,行)。 可以根据所选择的数据对象的范围(span)和所选对象的模式来定义集合结构。 然后将这些设置结构保存在内存中,而不是数据对象中,以提供优化的内存使用。 在数据库实现中,解决方案将集合表示(结构)存储在几乎恒定的内存量中,而不管网格中的行数如何,而不考虑所选行数。 内存使用量可以与用户选择的不连续行数成正比。 随着用户更改行选择和模式标准,内存中的结构可以动态合并,替换或消除。