DHAI: dynamic hierarchical agent-based infrastructure for supporting large-scale distributed information processing

Authors:
Jinlong Wang;Congfu Xu;Huifeng Shen;Zhaohui Wu;Yunhe Pan
Affiliations:
Institute of Artificial Intelligence, Zhejiang University, Hangzhou, China;Institute of Artificial Intelligence, Zhejiang University, Hangzhou, China;Institute of Artificial Intelligence, Zhejiang University, Hangzhou, China;Institute of Artificial Intelligence, Zhejiang University, Hangzhou, China;Institute of Artificial Intelligence, Zhejiang University, Hangzhou, China
Venue:
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
Year:
2005

Citing 8
Cited 0

Privacy-preserving data mining

SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
The knowledge grid

Communications of the ACM
A Roadmap of Agent Research and Development

Autonomous Agents and Multi-Agent Systems
What We Talk About When We Talk About Software Agents

IEEE Intelligent Systems
Distributed data mining on the grid

Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure
State-of-the-art in privacy preserving data mining

ACM SIGMOD Record
The Anatomy of the Grid: Enabling Scalable Virtual Organizations

International Journal of High Performance Computing Applications
Peer-to-peer computing for information systems

AP2PC'02 Proceedings of the 1st international conference on Agents and peer-to-peer computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The emergence of Internet, Intranet, local area networks, and ad hoc wireless networks introduces a plethora of new problems in information processing. In order to overcome these problems, we combine the Grid and P2P technologies, and propose a dynamic hierarchical agent-based infrastructure. By dint of agents, we can not only overcome a lot of limitations of the mechanisms which Grid and P2P support for data management and interchange in large-scale dynamic distributed systems, but also provide a suitable paradigm for implementing systems that need to configure adaptively, and especially keep users' information local to preserve individual privacy.