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Showing posts from January, 2021

SAFAR: Simulated Annealing-based Optimal Flow Allocation in Industrial Networks

Given a network (a set of nodes) and a set of traffic flows, a network flow allocation assigns network paths to these flows, so that data (for example, packets) can be sent from the respective source nodes to the corresponding destination nodes. In case of optimal network flow allocation, certain criteria, such as latency and utilization, need to be optimized. Moreover, in case of integral network flow allocation, all packets from a source node to a given destination node either travel via a single path or none at all. In other words, such a flow cannot be “split” across multiple paths. Optimal network flow allocation is a computationally hard problem, which not only requires a long time to solve, but also high level of skills. The problem becomes further challenging when unique business and industrial requirements are considered. In our recent work, we investigated this problem in the context of power grid networks, where the flows often require delay-symmetric upstream an