Simulating computer systems: techniques and tools
Simulating computer systems: techniques and tools
An architecture for a wide area distributed system
EW 7 Proceedings of the 7th workshop on ACM SIGOPS European workshop: Systems support for worldwide applications
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Programming with Object Groups in CORBA
IEEE Concurrency
Achieving Scalability in Hierarchical Location Services
COMPSAC '02 Proceedings of the 26th International Computer Software and Applications Conference on Prolonging Software Life: Development and Redevelopment
Advances in Distributed Systems, Advanced Distributed Computing: From Algorithms to Systems
A new fuzzy-decision based load balancing system for distributed object computing
Journal of Parallel and Distributed Computing
Industrial Adoption of Agent-Based Technologies
IEEE Intelligent Systems
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Introduction to the Special Issue: AI, Agents, and the Web
IEEE Intelligent Systems
Agents in Industry: The Best from the AAMAS 2005 Industry Track
IEEE Intelligent Systems
Distributed Systems: Concepts and Design (4th Edition) (International Computer Science)
Distributed Systems: Concepts and Design (4th Edition) (International Computer Science)
Driving into Intelligent Spaces with Pervasive Communications
IEEE Intelligent Systems
Intelligent Reconfiguration of Dynamic Distributed Components
Electronic Notes in Theoretical Computer Science (ENTCS)
Designing an Adaptive CORBA Load Balancing Service Using TAO
IEEE Distributed Systems Online
A prediction-based parallel replication algorithm in distributed storage system
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
Hi-index | 0.00 |
Most researches in large-scale distributed system only focus on improving a single scheme, and the relationships between the schemes that affect the performance of each scheme are ignored. In this paper, an intelligent distributed framework is introduced to address the use of intelligent models for the adaptive schemes of a distributed system. This paper tackles two aspects; the general model of an agent-based data mining to implement the schemes of distributed object system using data mining algorithms and efficient interactions of the schemes using multi-agent approach. The adaptive schemes use clustering to construct classes for object grouping, classification method to classify the requests using the classes constructed from clustering, and association mining to generate rules for predicting the next object needed to be replicated. These schemes are provided with relationships for the adaptive technique and the interaction is based on the action model of multi-agent system. Simulation result shows significant improvements on serving clients by minimised delay time and efficient load distribution.