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This work proposes a distributed framework for routing path optimization in Optical Burst-Switched (OBS) networks loosely mimicking the foraging behavior of ants, which in the past has originated the Ant Colony Optimization (ACO) metaheuristic. The distributed framework consists of additional data structures stored at the nodes and special control packets used to estimate the goodness of the routing...
Burst contention is a well-known challenging problem in optical burst switching (OBS) networks. Contention resolution approaches are always reactive and attempt to minimize the BLR based on local information available at the core node. On the other hand, a proactive approach that avoids burst losses before they occur is desirable. To reduce the probability of burst contention, a more robust routing...
An important issue of research in optical burst switching (OBS) networks is to minimize the loss of bursts due to contention at the intermediate nodes. These contention losses can be minimized with the design of efficient path selection algorithms at the ingress node. Path selection algorithms that learn the optimal path dynamically with the changing traffic conditions outperform the deterministic...
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