We propose an autonomous and scalable queueing theory-based methodology to control the performance of a hierarchical network of distributed agents. Multi-agent systems (MAS) such as supply chains functioning in highly dynamic environments need to achieve maximum overall utility during operation. Hence, the objective of the control framework is to identify the trade-offs between quality and performance and adaptively choose the operational settings to posture the MAS for better utility. By formulating the MAS as an open queueing network with multiple classes of traffic we evaluate the performance and subsequently the utility, from which we identify the control alternative for a localized, multi-tier zone.
|Original language||English (US)|
|State||Published - Dec 1 2005|
|Event||IIE Annual Conference and Exposition 2005 - Atlanta, GA, United States|
Duration: May 14 2005 → May 18 2005
|Other||IIE Annual Conference and Exposition 2005|
|Period||5/14/05 → 5/18/05|
All Science Journal Classification (ASJC) codes