Abstract: The use of Software-Defined Networking (SDN) with OpenFlow-enabled switches in Data ... the switch flow table causing additional traffic to the controller. We propose a differential flow ...

Network flow algorithms like the Ford-Fulkerson method or Edmonds-Karp algorithm can significantly increase the efficiency of data transfer across your network. By calculating the maximum flow ...

Computer scientists have written a network flow ... His algorithm performs these computations so fast that it can deliver the solution at the very moment a computer reads the data that describes ...

However, their algorithm relies on the streaming model of homogeneous synchronous data flow graph (HSDFG), which may result in exponential space complexity for designs with unbalanced data rate. In ...

Inspired by the min-cost flow based data-association framework ... @inproceedings{wang2019mussp, title={muSSP: Efficient Min-cost Flow Algorithm for Multi-object Tracking}, author={Wang, Congchao and ...

Efficient data structures will be discussed to support these algorithmic concepts. Topics include: Run time analysis, divide-and-conquer algorithms, dynamic programming algorithms, network flow ...

In order to find a more efficient power flow optimization method, an improved genetic algorithm including a data-driven module is proposed. This method uses the deep belief network (DBN) to train the ...