An autonomous performance control framework for Distributed Multi-Agent Systems: a queueing theory based approach

Authors:
Nathan Gnanasambandam;Seokcheon Lee;Soundar R. T. Kumara
Affiliations:
Pennsylvania State University, University Park, PA;Pennsylvania State University, University Park, PA;Pennsylvania State University, University Park, PA
Venue:
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Year:
2005

Citing 4
Cited 0

What is scalability in multi-agent systems?

AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Performance models for large scale multiagent systems: using distributed POMDP building blocks

AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Leveraging agent properties to assure survivability of distributed multi-agent systems

AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A Multi-Agent Systems Approach to Autonomic Computing

AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1

Quantified Score

Hi-index	0.00

Visualization

Abstract

Distributed Multi-Agent Systems (DMAS) such as supply chains functioning in highly dynamic environments need to achieve maximum overall utility during operation. The utility from maintaining performance is an important component of their survivability. This utility is often met by identifying trade-offs between quality of service and performance. To adaptively choose the operational settings for better utility, we propose an autonomous and scalable queueing theory based methodology to control the performance of a hierarchical network of distributed agents.