This paper proposes a virtual service model, defines a virtual service composition calculus and gives a service dynamic selection algorithm.
文中提出了一种虚拟服务模型，在此基础上定义了虚拟服务的组合运算，给出了服务动态查找的算法。
In this tutorial, we will demonstrate how to exploit the dynamic endpoint selection capability in WBSF to bind service requests from a tenant's user to tenant specific endpoints.
本教程将展示如何利用WBSF中的动态端点选择功能，将来自一个租户的用户的服务请求绑定到特定于租户的端点。
Provides a framework for dynamic endpoint selection of service implementations.
为服务实现的动态端点选择提供框架。
It also contains the latest information about service endpoints, which enables the dynamic selection of services from the registry.
它还包含有关服务端点的最新信息，该信息支持动态地从注册中心选择服务。
Dynamic service selection - Chooses which of multiple components with the same interface to invoke.
动态服务选择——选择调用多个具有相同接口的组件中的哪一个。
Figure 5 shows the retrieval of candidate service statistics and the dynamic selection and late binding to a service endpoint.
图5展示了对备选服务统计数据的检索以及某个服务端点的动态选择和延迟绑定。
Dynamic service selection is the ability to invoke services based on operationally defined criteria.
动态服务选择是基于操作上定义的标准来调用服务的能力。
It will also be useful for dynamic selection of services at runtime, as I will discuss in a future paper on service Choreography.
正如我们将在关于服务编排的文章中所讨论的，UDDI在运行时对服务的UDDI动态选择方面很有用的。
Static and dynamic qualification address Web service selection and the on-going relationship between service providers and consumers.
静态和动态鉴定分别针对Web服务选择以及在服务提供者和消费者之间正在进行的关系。
A new model based on Markov decision processes is proposed and the correlative novel algorithm is implemented with the adaptive ability of improved Q-learning for dynamic grid service selection.
对满足马尔可夫决策过程的服务组合提出了一种支持不完备信息描述的网格服务描述模型，实现了对服务组合整个生命周期的描述。
A new model based on Markov decision processes is proposed and the correlative novel algorithm is implemented with the adaptive ability of improved Q-learning for dynamic grid service selection.
对满足马尔可夫决策过程的服务组合提出了一种支持不完备信息描述的网格服务描述模型，实现了对服务组合整个生命周期的描述。
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