Comparing performance of two mobile agent platforms in distributed search

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.