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一种机场噪声等值线三维动态绘制的任务分配方法

徐涛 呼和木其日

计算机与数字工程2016,Vol.44Issue(8):1451-1457,1473,8.
计算机与数字工程2016,Vol.44Issue(8):1451-1457,1473,8.DOI:10.3969/j.issn.1672-9722.2016.08.013

一种机场噪声等值线三维动态绘制的任务分配方法

A Task Allocation Method for Dynamic Three-dimensional Drawing of Airport Noise Isoline

徐涛 1呼和木其日2

作者信息

  • 1. 中国民航大学计算机科学与技术学院 天津 300300
  • 2. 中国民航信息技术科研基地 天津 300300
  • 折叠

摘要

Abstract

Task allocation is one of the key factors to influence performance of cluster system ,which affects load balan-cing and resources utilization of cluster system .In dynamic three-dimensional drawing of airport noise isoline ,the drawing ac-curacy and noise computational complexity depends on grid spacing size .In this process ,how to allocate the noise computing tasks for the dynamic three-dimensional drawing of airport noise isoline to different server nodes in the cluster system and dy-namically control the grid spacing size is the important steps to increase the resources utilization of cluster system ,shorten the average response time and improve the accuracy of drawing noise isoline .In order to achieve these purposes ,this paper analyzes the environmental factors of area around the airport and distribution character of airport noise ,establishes relation-ship between the noise computation and the load of server node ,and then a task allocation model for dynamic three-dimen-sional drawing of airport noise isoline is proposed .The model is solved by genetic algorithm .The simulation results show that the proposed method allocates tasks balanced and makes full use of system resources ,shorten response time ,and finally a-chieve the real-time computing requirements for dynamic three-dimensional drawing of airport noise isoline .

关键词

机场噪声等值线绘制/集群系统/任务分配/遗传算法

Key words

airport noise isoline drawing/cluster system/taskallocation/genetic algorithm

分类

信息技术与安全科学

引用本文复制引用

徐涛,呼和木其日..一种机场噪声等值线三维动态绘制的任务分配方法[J].计算机与数字工程,2016,44(8):1451-1457,1473,8.

基金项目

国家科技支撑计划项目(编号2014BAJ04B02);中央高校基本科研业务费专项资金(编号3122013P013)资助。 ()

计算机与数字工程

OACSTPCD

1672-9722

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