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Traffic Engineering (TE) has become a challenging task for network management and resources optimization due to traffic uncertainty and to the difficulty to predict traffic variations. To address this uncertainty in a robust and efficient way, two almost antagonist approaches have emerged during the last years: robust routing and dynamic load-balancing. The former copes with traffic uncertainty in an off-line preemptive fashion, computing a stable routing configuration that is optimized for a large set of possible traffic demands. The latter balances traffic among multiple paths in an on-line reactive fashion, adapting to traffic variations in order to optimize a certain cost-function.
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