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Fuzzy adaptive connection admission and for real-time applications in ATM-based heterogeneous networks

机译:模糊自适应连接接纳和用于基于ATM的异构网络中的实时应用

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In this paper, we study connection-oriented communication service in heterogeneous network for real-time applications. Many existing distributed mission-critical systems are deployed over heterogeneous networks. Hence, it is necessary to extendthe real-time communication technology to encompass heterogeneous networks. A connection can be considered as a contract between an application and the network: the application specifies the characteristics of the traffic which it may generate and thenetwork agrees to provide the requested quality of service (QoS) to the application. For real-time applications, the most crucial QoS is to meet deadline requirement.We propose a fuzzy intelligent system for connection admission control (CAC). Upon a request of connection establishment, the CAC determines if the worst case delays of the requesting and existing connections can be satisfied given the available networkresources. If so, the CAC allocates appropriate network resources to the requesting connection. Our system uses fuzzy logic to capture the knowledge for adapting its strategy to dynamic system status. Our performance study demonstrates that systemperformance can be improved significantly and consistently with our fuzzy adaptive connection admission control. Our approach is compatible with current network standards and hence can be readily used in practical systems.
机译:在本文中,我们研究了异构网络中面向实时应用的面向连接的通信服务。许多现有的分布式关键任务系统都部署在异构网络上。因此,有必要将实时通信技术扩展到涵盖异构网络。连接可以视为应用程序和网络之间的契约:应用程序指定它可能生成的流量的特性,并且网络同意向应用程序提供请求的服务质量(QoS)。对于实时应用,最关键的QoS是满足期限要求。我们提出了一种用于连接许可控制(CAC)的模糊智能系统。根据建立连接的请求,CAC确定在给定可用网络资源的情况下,是否可以满足请求连接和现有连接的最坏情况下的延迟。如果是这样,则CAC会将适当的网络资源分配给发出请求的连接。我们的系统使用模糊逻辑来捕获知识,以使其策略适应动态系统状态。我们的性能研究表明,使用模糊自适应连接允许控制可以显着提高系统性能。我们的方法与当前的网络标准兼容,因此可以在实际系统中轻松使用。

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