The Stability, Scalability and Performance of Multi-agent Systems
BT Technology Journal
Testing the Efficiency of JADE Agent Platform
ISPDC '04 Proceedings of the Third International Symposium on Parallel and Distributed Computing/Third International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks
A Methodology for Evaluating Agent Toolkits
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume I - Volume 01
Multi-agent development toolkits: an evaluation
IEA/AIE'2004 Proceedings of the 17th international conference on Innovations in applied artificial intelligence
Performance evaluation of open-source multiagent platforms
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A Secure Group-Oriented Model for Multiagent Systems
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Small World Model for Agent Searching
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Hi-index | 0.00 |
Agent technology demands support to build complex, open and large-scale applications. Therefore, efficient, scalable and robust Multiagent Platforms are needed. The performance of current Multiagent Platforms, which are usually developed in Java, has been tested in different studies. Results presented in these studies show that the performance of these Multiagent Platforms is not as good as one could expect. We present in this paper a different approach of a Multiagent Platform closer to the Operating System level to improve the performance achieved. This platform is focused on offering the main services required by a Multiagent platform and also improving the functionality of some of them, such as the messaging service. In this sense, we extend this functionality with advanced communication mechanisms such as agent groups and predefined interaction protocols. We also present a performance evaluation of the current platform implementation.