Comparing performance of two mobile agent platforms in distributed search

Abdul-Rahman Mawlood-Yunis, A. Nayak, D. Nussbaum, N. Santoro
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引用次数: 8

Abstract

We study the performance behavior of two mobile agent platforms (AGLET and TACOMA) in distributed search. The search problem is analyzed from two different standpoints: the single agent search and multiple agents search. Several experimental were carried out to measure the performance of mobile agent's solution to distributed search problem under variable network size, network topology and number of agents. The results indicate that the two mobile agent platforms have similar behavior but their performance varies with underling implementation, and the multiple agents approach performs better than the single agent approach in large networks.
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两种移动代理平台在分布式搜索中的性能比较
研究了AGLET和TACOMA两种移动代理平台在分布式搜索中的性能行为。从单智能体搜索和多智能体搜索两个不同的角度分析了搜索问题。在不同的网络规模、网络拓扑结构和智能体数量下,对移动智能体解决分布式搜索问题的性能进行了测试。结果表明,两种移动代理平台具有相似的行为,但其性能因底层实现而异,并且在大型网络中,多代理方法优于单代理方法。
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