Estimation of Cell Loss Ratio and Cell Delay for ATM Networks using Novel Genetic Algorithm Approach

2006 6th International Workshop on System on Chip for Real Time Applications Pub Date : 2006-12-01 DOI:10.1109/IWSOC.2006.348267

H. El-Madbouly, M. Nassef

引用次数: 1

Abstract

In this paper, an on line genetic algorithm (GA) is proposed for estimating the cell loss probability (CLP) and the cell delay in real time. They are key parameters to many vital functions in the network such as call admission (CAC), bandwidth allocation, etc. However, the CLR and delay depend usually on many unknown and unpredictable traffic parameters such as input traffic correlations. In this paper, a novel genetic algorithm to predict the CLR and delay in different sized systems based on both a small amount of information from these systems. This algorithm is used with real time traffic measurement to maintain and design the ATM network

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基于遗传算法的ATM网络丢包率和时延估计

本文提出了一种在线遗传算法，用于实时估计小区损失概率和小区时延。它们是网络中许多重要功能的关键参数，如呼叫接纳(CAC)、带宽分配等。然而，CLR和延迟通常取决于许多未知和不可预测的流量参数，如输入流量相关性。本文提出了一种新的遗传算法来预测不同规模系统的CLR和延迟。将该算法与实时流量测量相结合，用于ATM网络的维护和设计

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2006 6th International Workshop on System on Chip for Real Time Applications

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