An autonomous performance control framework for distributed multi-agent systems: A queueing theory based approach
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 …
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 …
[PDF][PDF] An Autonomous Performance Control Framework for Distributed Multi-Agent Systems: A Queueing Theory Based Approach
S Lee, SRT Kumara - 2005 - gautam.engr.tamu.edu
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 …
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 …
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