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    • 3. 发明申请
    • PROXIMITY GRIDS FOR AN IN-MEMORY DATA GRID
    • 内存数据网络的接近网格
    • US20120278344A1
    • 2012-11-01
    • US13098291
    • 2011-04-29
    • Douglas C. BergKulvir S. BhogalNitin GaurChristopher D. JohnsonTodd E. Kaplinger
    • Douglas C. BergKulvir S. BhogalNitin GaurChristopher D. JohnsonTodd E. Kaplinger
    • G06F17/30
    • G06F16/24552
    • Techniques are described for scaling an in-memory data grid to satisfy the needs of client applications requesting data from the in-memory data grid. The in-memory data grid may monitor a variety of factors, such as data traffic or number of received queries from a particular geographical region, to determine whether to create a proximity grid. A proximity grid is an extension of the in-memory data grid that services queries originating from a defined geographic region. Each proximity grid stores data objects relevant to the proximity grid's assigned geographic region. Queries originating from the client applications within the geographic regions are then routed to the corresponding proximity grid for execution. The proximity grid may be terminated when the need of the client applications within the geographic region has subsided.
    • 描述了用于缩放内存数据网格以满足从内存数据网格请求数据的客户端应用程序的需求的技术。 内存中数据网格可以监视各种因素,例如数据流量或来自特定地理区域的接收到的查询的数量,以确定是否创建接近网格。 接近网格是服务来自定义的地理区域的查询的内存数据网格的扩展。 每个邻近网格存储与接近网格分配的地理区域相关的数据对象。 然后将来自地理区域内的客户端应用程序的查询路由到相应的接近网格进行执行。 当地理区域内的客户端应用程序的需求已经消退时,接近网格可以被终止。
    • 10. 发明授权
    • Data storage and management system
    • 数据存储和管理系统
    • US08521768B2
    • 2013-08-27
    • US13005831
    • 2011-01-13
    • Kulvir S. BhogalNitin GaurChris D. JohnsonTodd E. Kaplinger
    • Kulvir S. BhogalNitin GaurChris D. JohnsonTodd E. Kaplinger
    • G06F7/00G06F17/30
    • G06F9/5027
    • Methods (600-900) for optimizing performance of systems (100, 200). The methods involve determining if a device (108, 1081, 1082, . . . , 108N) has been deployed as a standalone device or a cluster device. The determination can be based on a value of a flag stored in the device (e.g., an appliance) or contents of device registration information stored in a master device of a cluster of devices. The methods also involve automatically delegating data management operations to a centralized Memory Management System (MMS) or a distributed MMS (210) based on results of said determination. The centralized MMS (110) performs relational database management operations (e.g., SQL operations) in response to said data management operations being delegated thereto. The distributed MMS performs grid database management operations (e.g., non-SQL based operations or key-value based operations) in response to said data management operations being delegated thereto.
    • 用于优化系统性能的方法(600-900)(100,200)。 这些方法涉及确定设备(108,108,108,...,108N)是否已被部署为独立设备或集群设备。 该确定可以基于存储在设备(例如,设备)中的标志的值或存储在设备集群的主设备中的设备注册信息的内容。 所述方法还包括基于所述确定的结果自动地将数据管理操作委托给集中式存储器管理系统(MMS)或分布式MMS(210)。 集中式MMS(110)响应所授权的所述数据管理操作执行关系数据库管理操作(例如,SQL操作)。 响应于被委托给它的所述数据管理操作,分布式MMS执行网格数据库管理操作(例如,基于非基于SQL的操作或基于键值的操作)。