Bjarne Johansson's research while affiliated with ABB and other places

Citations

... Recently, several studies analyzed the possibilities and limitations of orchestration systems applied to I4.0 [2,6,8]. Proposals have been advanced to support the awareness of real-time requirements, hardware heterogeneity, network latency, and fault-tolerance [9][10][11][12]. ...
... Several changes were introduced in the existing approach, that is, introduction of the bully algorithm [44], which was based on a tree structure and performed the comparison message complexity. Similarly, in [26], an extended form of bully leader selection method was presented in the environment of cloud computing in which the leader node selection was based on a Super Node (SN) [45] improving the leader nomination speed and message complexity was minimized to O(n2/k) to O(n2), in which k was showing the total nodes, while k was presenting the district. ...
... Different strategies for dealing with attacks have been adopted by Johansson et al. [15] and by Hormann and Fischer [13]. While Johansson et al. [15] use Artificial Neural Networks (ANNs) to estimate the type of data that could be transmitted on the network, Hormann and Fischer [13] seek to reduce the error percentage of data classification by sequentially applying two Self-Organizing Maps (SOMs). ...