Title
Autonomous Smart Routing For Network Qos
Abstract
We present an autonomous adaptive quality of service (QoS) driven network system called a "Cognitive Packet Network" (CPN), which adoptively selects paths so as to offer best effort QoS to the end users based on user defined QoS. CPN uses neural network based reinforcement learning to make routing decisions separately at each node. Measurements on an experimental test-bed are provided to show how the system responds to the choice of QoS goals. We also discuss and evaluate an extension of CPN that uses a genetic algorithm to generate and maintain paths from previously discovered information by matching their "fitness" with respect to the desired QoS.
Publication Date
9-27-2004
Publication Title
Proceedings - International Conference on Autonomic Computing
Number of Pages
232-239
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ICAC.2004.1301368
Copyright Status
Unknown
Socpus ID
4544262689 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/4544262689
STARS Citation
Gelenbe, Erol; Gellman, Michael; Lent, Ricardo; Liu, Peixiang; and Su, Pu, "Autonomous Smart Routing For Network Qos" (2004). Scopus Export 2000s. 5007.
https://stars.library.ucf.edu/scopus2000/5007