An autonomous performance control framework for distributed multi-agent systems

A queueing theory based approach

Nathan Gnanasambandam, Seokcheon Lee, Soundar Rajan Tirupatikumara, Natarajan Gautam, Wilbur Peng, Vikram Manikonda, Marshall Brinn, Mark Greaves

Research output: Contribution to conferencePaper

2 Citations (Scopus)

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.

Original languageEnglish (US)
Pages1391-1392
Number of pages2
StatePublished - Dec 1 2005
Event4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05 - Utrecht, Netherlands
Duration: Jul 25 2005Jul 29 2005

Other

Other4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05
CountryNetherlands
CityUtrecht
Period7/25/057/29/05

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Queueing theory
Multi agent systems
Supply chains
Quality of service

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Gnanasambandam, N., Lee, S., Tirupatikumara, S. R., Gautam, N., Peng, W., Manikonda, V., ... Greaves, M. (2005). An autonomous performance control framework for distributed multi-agent systems: A queueing theory based approach. 1391-1392. Paper presented at 4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05, Utrecht, Netherlands.
Gnanasambandam, Nathan ; Lee, Seokcheon ; Tirupatikumara, Soundar Rajan ; Gautam, Natarajan ; Peng, Wilbur ; Manikonda, Vikram ; Brinn, Marshall ; Greaves, Mark. / An autonomous performance control framework for distributed multi-agent systems : A queueing theory based approach. Paper presented at 4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05, Utrecht, Netherlands.2 p.
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Gnanasambandam, N, Lee, S, Tirupatikumara, SR, Gautam, N, Peng, W, Manikonda, V, Brinn, M & Greaves, M 2005, 'An autonomous performance control framework for distributed multi-agent systems: A queueing theory based approach' Paper presented at 4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05, Utrecht, Netherlands, 7/25/05 - 7/29/05, pp. 1391-1392.

An autonomous performance control framework for distributed multi-agent systems : A queueing theory based approach. / Gnanasambandam, Nathan; Lee, Seokcheon; Tirupatikumara, Soundar Rajan; Gautam, Natarajan; Peng, Wilbur; Manikonda, Vikram; Brinn, Marshall; Greaves, Mark.

2005. 1391-1392 Paper presented at 4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05, Utrecht, Netherlands.

Research output: Contribution to conferencePaper

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T1 - An autonomous performance control framework for distributed multi-agent systems

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AU - Gnanasambandam, Nathan

AU - Lee, Seokcheon

AU - Tirupatikumara, Soundar Rajan

AU - Gautam, Natarajan

AU - Peng, Wilbur

AU - Manikonda, Vikram

AU - Brinn, Marshall

AU - Greaves, Mark

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AB - 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.

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Gnanasambandam N, Lee S, Tirupatikumara SR, Gautam N, Peng W, Manikonda V et al. An autonomous performance control framework for distributed multi-agent systems: A queueing theory based approach. 2005. Paper presented at 4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05, Utrecht, Netherlands.