An initiative for a classified bibliography on G-networks
Performance Evaluation
Journal of Network and Computer Applications
Bibliography on G-networks, negative customers and applications
Mathematical and Computer Modelling: An International Journal
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Adaptive routing is once again becoming of interest because of the possibility to couple on-line probing in networks with real-time dynamic and distributed control of paths and flows. Wireless networks, with their rapidly changing network conditions also create a need to revisit this issue. This paper uses measurements in a wired adaptive network test-bed, the Cognitive Packet Network (CPN), to investigate the pros and cons of adaptive routing. CPN routes packet flows through a store and forward network according to their Quality of Service (QoS) needs through an on-line, distributed reinforcement learning mechanism. This paper investigates routing oscillations which occur due to the interaction of multiple flows and studies their effect on QoS in the context of CPN. Our results indicate that routing oscillations can be easily controlled by randomising the route switching, and that from an overall QoS viewpoint increased switching can also lead to improved performance.