在这个示例中，我们假定这样一个事件驱动架构：异步消息(或通知)通过消息或通知代理在系统的组件之间交换。
In this example, we assume an event-driven architecture where asynchronous messages, or notifications, are exchanged among the components of the system by means of a message or notification broker.
事件驱动异步设计的一个明显优点就是，如果大量等待外部服务的操作之间没有数据依赖关系，则可以并行执行这些操作。
An obvious gain from an asynchronous, event-driven design is that many operations waiting for external services can be executed in parallel as long as no data dependency exists between them.
即使根本没有发生并行操作，事件驱动的异步架构也提供了优于传统同步设计的强大的可伸缩性。
Asynchronous, event-driven architectures also have a massive scalability advantage over traditional synchronous designs, even if no parallel operations occur at all.
这是针对任何异步、事件驱动ui的典型用例。
This is a typical use case for any asynchronous, event-driven UI.
事件驱动的异步web框架已经存在了相当长一段时间。
Event driven, asynchronous web frameworks have been around for quite some time.
对于异步通信，将安装名为事件服务mdb的消息驱动的Bean (Message Driven Bean, MDB)，并使用JMS机制检索事件。
For the asynchronous communication, a Message Driven Bean (MDB), called event Service MDB, is installed and retrieves the events using JMS mechanisms.
一个扩展执行模型，可以支持周期性计算和执行策略控制，为每一个活性对象实现异步化、事件驱动激活或周期性激活。
An extended execution model that supports periodic calculations and control of execution policies for each active object as asynchronous, event-driven activation, or for periodic activation.
一款异步的事件驱动的网络应用框架和工具，用于快速开发可维护的高性能、高扩展性协议服务器和客户端。
An asynchronous event-driven network application framework and tools for rapid development of maintainable high performance and high scalability protocol servers and clients.
新特性为部署在WindowsAzure平台上的应用提供了异步云事件、事件驱动面向服务体系结构（SOA）以及负载均衡等特性。
These enable new scenarios for Applications hosted on Windows Azure such as asynchronous Cloud Eventing, Event-Driven SOA, Load leveling/balancing and more.
其中连续动力学由微分或者差分方程描述，离散动力学由有限的自动开关描述，并由异步的离散事件驱动。
The continuous dynamics is governed by differential or difference equations, whereas the discrete dynamics is governed by finite automata that are driven asynchronously by external discrete events.
其中连续动力学由微分或者差分方程描述，离散动力学由有限的自动开关描述，并由异步的离散事件驱动。
The continuous dynamics is governed by differential or difference equations, whereas the discrete dynamics is governed by finite automata that are driven asynchronously by external discrete events.
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