An intelligent policing-routing mechanism based on fuzzy logic and genetic algorithms

L. Barolli, A. Koyama, Shiho Motegi, Shoichi Yokoyama
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引用次数: 14

Abstract

The Asynchronous Transfer Mode (ATM) has been standardized and widely accepted as a technique to support future B-ISDN networks. In ATM networks, traffic control design becomes an important challenge, because of the diverse services support and the need for efficient network resource engineering. Two important functions for traffic control in ATM networks are policing and routing. The goal of these two functions is to guarantee the required quality of service. So far, all studies have treated policing and routing in a separate way. The combination of policing and routing can guarantee a better quality of service and increase the network utilization. Traditional network control strategies are not well suited for high speed networks. Use of intelligent algorithms based on fuzzy logic, neural networks and genetic algorithms can prove to be efficient for traffic control in ATM networks. We propose an intelligent policing-routing mechanism based on fuzzy logic and genetic algorithms. Performance evaluation via simulations shows that the proposed mechanism performs better than conventional policing mechanisms and routing algorithms.
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基于模糊逻辑和遗传算法的智能策略路由机制
异步传输模式(ATM)作为一种支持未来B-ISDN网络的技术已经被标准化并被广泛接受。在ATM网络中,由于业务支持的多样性和对高效网络资源工程的需求,流量控制设计成为一个重要的挑战。ATM网络中流量控制的两个重要功能是监管和路由。这两个功能的目标是保证所需的服务质量。到目前为止,所有的研究都以不同的方式对待警察和路线。警务和路由的结合可以保证更好的服务质量,提高网络利用率。传统的网络控制策略不适合高速网络。利用基于模糊逻辑、神经网络和遗传算法的智能算法可以有效地控制ATM网络中的流量。提出了一种基于模糊逻辑和遗传算法的智能策略路由机制。仿真结果表明,该机制的性能优于传统的监管机制和路由算法。
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