TY - GEN
T1 - Admission control and resource allocation in a strictly priority based network
AU - Pavan, A.
AU - Gopal, V.
AU - Song, S.
AU - Birch, N.
AU - Harinath, R.
AU - Castanon, D.
N1 - Publisher Copyright:
© 2000 IEEE.
PY - 2000
Y1 - 2000
N2 - Highly dynamic information environments that support military applications should be able to satisfy increasingly stringent demands on end-to-end QoS. As part of the DARPA AICE (Agile Information Control Environment) program, we have developed a middleware framework for admission control and resource allocation, for maximization of the end-to-end QoS for communication channels. Called Adaptive Information Control (AIC), the framework includes a novel architecture for the control environment, and rich models for flow characterization and resource constraints. We describes novel algorithms, based on strict priority, for resource allocation that maximize the overall mission objectives. A concept of 'bottleneck priority' is introduced which simplifies the computational effort. The overall architecture is described along with various resource allocation algorithms. Different test cases demonstrate the utility of such optimal resource allocation mechanisms for the success of the overall mission.
AB - Highly dynamic information environments that support military applications should be able to satisfy increasingly stringent demands on end-to-end QoS. As part of the DARPA AICE (Agile Information Control Environment) program, we have developed a middleware framework for admission control and resource allocation, for maximization of the end-to-end QoS for communication channels. Called Adaptive Information Control (AIC), the framework includes a novel architecture for the control environment, and rich models for flow characterization and resource constraints. We describes novel algorithms, based on strict priority, for resource allocation that maximize the overall mission objectives. A concept of 'bottleneck priority' is introduced which simplifies the computational effort. The overall architecture is described along with various resource allocation algorithms. Different test cases demonstrate the utility of such optimal resource allocation mechanisms for the success of the overall mission.
KW - Adaptive control
KW - Admission control
KW - Communication system control
KW - Computer architecture
KW - Information management
KW - Intelligent networks
KW - Optimal control
KW - Programmable control
KW - Quality of service
KW - Resource management
UR - http://www.scopus.com/inward/record.url?scp=84953279437&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84953279437&partnerID=8YFLogxK
U2 - 10.1109/RTCSA.2000.896396
DO - 10.1109/RTCSA.2000.896396
M3 - Conference contribution
AN - SCOPUS:84953279437
T3 - Proceedings - 7th International Conference on Real-Time Computing Systems and Applications, RTCSA 2000
SP - 231
EP - 238
BT - Proceedings - 7th International Conference on Real-Time Computing Systems and Applications, RTCSA 2000
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Real-Time Computing Systems and Applications, RTCSA 2000
Y2 - 12 December 2000 through 14 December 2000
ER -