Mike Reichardt

German Research Centre for Artificial Intelligence

Papers

Total Citations

H-Index

About

Mike Reichardt is a leading researcher in industrial real-time systems and the practical realization of Industry 4.0, with a particular focus on service mobility and live migration. His most cited work, "Downtime Optimized Live Migration of Industrial Real-Time Control Services" (2022, 8 citations), addresses a critical bottleneck in smart manufacturing: the seamless relocation of time-sensitive control algorithms without disrupting production. Reichardt’s key contribution lies in developing migration strategies that minimize downtime for industrial real-time services—a challenge that has long hindered the flexibility and reconfigurability of cyber-physical production systems. By enabling offloaded algorithms from mobile devices to be migrated live between edge nodes, his research directly supports the dynamic, decentralized architecture required for Industry 4.0. Though still early in his career, his work has already been recognized for its practical impact, bridging the gap between theoretical service mobility and real-world industrial constraints. Reichardt’s research agenda continues to push the boundaries of deterministic communication and computing, making him a rising voice in the engineering of resilient, adaptive industrial networks.