Prediction-Based Dynamic Thread Pool Management of Agent Platform for Ubiquitous Computing

The applications for ubiquitous system require to effectively utilize the resources distributed in the environment to provide intelligent services to the users. In order to satisfy the requirement, the applications need to be developed using intelligent agents based on multi-thread model. In this paper we propose the prediction-based dynamic thread pool management scheme for maximizing the resource utilization. In the proposed scheme the number of threads in the pool is predicted by modeling the rate change in the requested number of threads using the Gaussian distribution. An experiment shows that the proposed scheme outperforms the existing representative models in terms of response time for thread generation in practical operational environment.