Grid Resources' Fuzzy Clustering Based on Mobile Agent

摘要

To speed up grid resources' clustering, this paper presents a grid resource fuzzy clustering model based on mobile agent. A fuzzy clustering task is decomposed into some parallel subtasks which then are distributed to some grid nodes for parallel processing by using mobile agents through B-shift algorithm so as to improve clustering efficiency. This paper implements grid resources' fuzzy clustering based on mobile agent with Aglet platform, and evaluates the performances through simulation experiments. The experiments show that the clustering time of this method is shorter than that of center fuzzy clustering method.