Performance Analysis and Optimization for Mobile Agents in Evolutionary Network

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Performance Analysis and Optimization for Mobile Agents in Evolutionary Network

更新时间：2025-07-09

- Performance Analysis and Optimization for Mobile Agents in Evolutionary Network
- Vol. 44, Issue 12, Pages: 5-9+70(2010)
- 作者机构：
  
  1. 西安交通大学电子与信息工程学院,西安,710049
  2. 中国科学院深圳先进技术研究院,广东,深圳,518055
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393
- Online First：10 December 2010，
  
  Published：2010
- 稿件说明：
移动端阅览
Performance Analysis and Optimization for Mobile Agents in Evolutionary Network[J]. 2010, 44(12): 5-9+70.
DOI：

Performance Analysis and Optimization for Mobile Agents in Evolutionary Network[J]. 2010, 44(12): 5-9+70. DOI：

摘要

针对以移动代理软件方式实现的可演化网络的性能问题

提出了一种快速激活及加载方法.通过对移动代理非执行转发、执行转发及执行各步骤的详细性能测量及分析

发现网络节点的执行环境为移动代理执行所做的准备工作时间消耗较大.该快速方法首先解开移动代理包中的所有程序代码并进行预先加载

在加载主程序时优先搜索已预先加载的代码

从而能够较快地找到程序代码.快速方法通过优化代码加载时的搜索顺序

有效地加快了可演化网络中移动代理的执行过程.测试结果表明

采用快速方法使典型的移动代理平均启动加载时间缩短了3.26 ms

网络节点的吞吐率提高了58%.

Abstract

A novel fast launch algorithm is proposed to improve the performance of mobile agents in evolutionary networks. Analyses on the performance data of mobile agent's non-execution forwarding

execution forwarding

and detail execution steps show that the execution environment preparing process for mobile agents is the bottleneck. When the fast algorithm is executed

all codes in the mobile agent package will be extracted and loaded prior to the mobile agent's main program. Before a new code is loaded

the preloaded codes will be searched

and hence the code image can be located quickly. The mobile agent's execution forwarding can be improved by optimizing the searching order. Testing results show that the average loading time of the mobile agents is reduced by 3.26 ms and the throughput of network nodes is increased by 58%.

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Keywords

references

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一种新的估计模数转换器积分非线性误差的直方图方法. 西安交通大学学报, 2009, 43(8):59-63.

一种新型高阶两通道时间交织ΣΔ调制器系统结构. 西安交通大学学报, 2008, 42(8):996-1000.

流水线模数转换器的一种数字校准技术. 西安交通大学学报, 2008, 42(8):991-995.

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