Object-oriented analysis and design with applications (2nd ed.)
Object-oriented analysis and design with applications (2nd ed.)
Software agents
Applications of intelligent agents
Agent technology
Distributed, parallel simulation of multiple, deliberative agents
PADS '00 Proceedings of the fourteenth workshop on Parallel and distributed simulation
A Management Architecture for Multi-Agent Systems
SMW '98 Proceedings of the IEEE Third International Workshop on Systems Management
A Real-Time Multi-Agent System Architecture for E-Commerce Applications
ISADS '01 Proceedings of the Fifth International Symposium on Autonomous Decentralized Systems
Multi-agent based simulation: where are the agents?
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
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Since several years, communication networks have known a surprising growth. The increased number of users, the consequent increase of traffic, and the request for new services involve the development of new technologies and the deployment of high throughput networks. Networking technology has correspondingly grown to meet the diverse needs of applications and network administration. In response to the complexity of communication networks, simulation was and remains the only way to evaluate network performance. Unfortunately, traditional simulation methods are not adapted to all networks such as networks with quality of service and networks with dynamic aspect. To overcome this limitation, a new method to simulate dynamic networks based on multi-agents simulation and behavioral approach had been proposed. In this paper, we present an adaptive approach to schedule real-time network traffic using the agent based simulation concept. The paper introduces an adaptive real-time agent scheduler (ARTAS) architecture and agent model as basis for scheduling real-time packet networks.