Using adaptive routing to achieve quality of service
Performance Evaluation
Optimal and heuristic algorithms for quality-of-service routing with multiple constraints
Performance Evaluation
Source routing in the internet with reinforcement learning and genetic algorithms
SEPADS'06 Proceedings of the 5th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems
An initiative for a classified bibliography on G-networks
Performance Evaluation
Toward a smart world: vision-based adaptive surveillance
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Bibliography on G-networks, negative customers and applications
Mathematical and Computer Modelling: An International Journal
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Network self-awareness is the ability of a network to observeits own behavior using internal probing and measurementmechanisms, and to make effective autonomous use ofthese observations for self-management. Experiments areconducted to evaluate the Goal's impact on observed QoSfor the user's payload. In addition to packet loss due to congestion,we also introduce an artificial packet loss at certainnodes to represent failures or other undesirable events. Wesee that just using delay in the QoS goal is a good way toreduce delay and loss if losses are only the result of congestion.However, as one would expect, using loss in the user'sQoS Goal is seen to be useful if the paths which are selectedby SPs are to avoid nodes where packet losses are occuringfor reasons other than congestion. In general we see a goodcorrelation between the QoS Goal that the SPs use to findpaths, and the resulting QoS observed by DPs.