首页> 外国专利> EVENT-DRIVEN PROGRAMMING MODEL-BASED ON ASYNCHRONOUS, MASSIVELY PARALLEL DATAFLOW PROCESSES FOR HIGHLY-SCALABLE DISTRIBUTED APPLICATIONS

EVENT-DRIVEN PROGRAMMING MODEL-BASED ON ASYNCHRONOUS, MASSIVELY PARALLEL DATAFLOW PROCESSES FOR HIGHLY-SCALABLE DISTRIBUTED APPLICATIONS

机译:基于异步,大规模并行数据流过程的事件驱动编程模型,用于高度可扩展的分布式应用

摘要

An example method comprises receiving one or more published events by an event hook application program interface (API) from one or more client applications, passing a model to a web server configured to generate web containers in concurrent threads, receiving, by any number of worker nodes, each web container, each of the worker nodes including a system agent program for dynamically assigned functions, the web containers being provided to the any number of worker nodes for logical isolation of system agent execution in memory, and performing the dynamically assigned functions by the system agent program in a blackboard memory, the blackboard memory being a shared memory with non-blocking reads and writes and performing functionality, the dynamically assigned functions being executed in parallel and at least two of the dynamically assigned functions sharing context between inter-dependent processes.
机译:一种示例方法包括:通过事件挂钩应用程序接口(API)从一个或多个客户端应用程序接收一个或多个已发布事件;将模型传递到配置为在并发线程中生成Web容器的Web服务器;由任意数量的工作人员接收节点,每个Web容器,每个工作程序节点包括用于动态分配功能的系统代理程序,该Web容器提供给任意数量的工作程序节点,用于逻辑隔离内存中的系统代理执行,并通过以下方式执行动态分配的功能:黑板内存中的系统代理程序,黑板内存是具有无阻塞读写功能并执行功能的共享内存,动态分配的功能并行执行,并且至少两个动态分配的功能在相互依赖的对象之间共享上下文流程。

著录项

  • 公开/公告号US2019220331A1

    专利类型

  • 公开/公告日2019-07-18

    原文格式PDF

  • 申请/专利权人 ENTERPRISEWEB LLC;

    申请/专利号US201916249874

  • 发明设计人 DAVE M. DUGGAL;WILLIAM J. MALYK;

    申请日2019-01-16

  • 分类号G06F9/54;

  • 国家 US

  • 入库时间 2022-08-21 12:11:08

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