Paper Info
Title
ASRTS: An Agent-Based Simulator for Real-Time Schedulers
Abstract
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 had been proposed. In this paper, we introduce a timely-constrained Agent-based Simulator for Real-Time Schedulers (ASRTS). Our Simulator not only provides the underlying software to build autonomous agents, but also it has the capability to express and enforce timing constraints on actions if the real-time schedulers decide to benefit from the flexible and responsive nature of agents in a multi-agent system.
Year
DOI
Venue
2008
10.1109/AMS.2008.115
Asia International Conference on Modelling and Simulation
Keywords
Field
DocType
timely-constrained agent-based simulator,dynamic network,traditional simulation method,dynamic aspect,multi-agent system,multi-agents simulation,autonomous agent,agent-based simulator,network performance,real-time schedulers,communication network,information science,scheduling,multi agent systems,real time systems,computer networks,multiagent systems,real time,communication networks,multi agent system,job shop scheduling,quality of service,scheduling algorithm,communication complexity,qos
Autonomous agent,Telecommunications network,Computer science,Scheduling (computing),Simulation,Power system simulator for engineering,Quality of service,Multi-agent system,Communication complexity,Network performance,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
3
Name
Order
Citations
PageRank
Moutaz Saleh102.70
Zulaiha Ali Othman29116.18
Abdullah Mohd Zin32812.07