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TOWARDS A GENERIC MODEL OF INTELLIGENT NETWORKS AND SERVICES

机译:迈向智能网络和服务的通用模型

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摘要

The next generation of intelligent networks will provide non-conventional information processing, retrieval and transfer services for the user in a transparent way. The structure and services of large networks are dynamically changing because of modifications and failures, with static or dynamic task allocation over inhomogeneous or homogeneous resource types, leading to n-dimensional demand driven network structure model. The processing nodes of the network may use any mix of the four basic information processing models: control driven, data driven, demand driven and information driven models. A knowledge based generic model is presented for such a system, having logical, temporal and topological structures together with operations on these structures. The necessary mathematical concepts are parameterised hierarchical relations, logic functions, hierarchies of variables with their hierarchical control operators, and neighbourhood/similarity structures. Introducing a model time as a partial ordered set of time instants, an evolutionary system can be considered, both its capabilities and its active structure. For the operating system the mobile agent paradigm is proposed. The main goal of the model is to provide a theoretically sound base for the development of particular design models for various problem classes.
机译:下一代智能网络将以透明的方式为用户提供非常规的信息处理,检索和传输服务。大型网络的结构和服务由于修改和故障而动态变化,在不均匀或同质的资源类型上进行静态或动态任务分配,从而导致n维需求驱动的网络结构模型。网络的处理节点可以使用四种基本信息处理模型的任意组合:控制驱动,数据驱动,需求驱动和信息驱动模型。提出了用于这种系统的基于知识的通用模型,其具有逻辑,时间和拓扑结构以及对这些结构的操作。必要的数学概念是参数化的层次关系,逻辑功能,具有其层次控制运算符的变量层次以及邻域/相似性结构。将模型时间作为部分有序的时间集引入,可以考虑演化系统,包括其功能和活动结构。对于操作系统,提出了移动代理范例。该模型的主要目的是为各种问题类别的特定设计模型的开发提供理论上可靠的基础。

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