Latency-aware Privacy-preserving Service Migration in Federated Edges

Edge computing has been in the spotlight for bringing data processing nearby data sources to support the requirements of latency-sensitive and bandwidth-hungry applications. Previous investigations have explored the coordination between multiple edge infrastructure providers to maximize profit while delivering enhanced applications' performance and availability. However, existing solutions overlook potential conflicts between data protection policies implemented by infrastructure providers and security requirements of privacy-sensitive applications (e.g., databases and payment gateways). Therefore, this paper presents Argos, a heuristic algorithm that migrates applications according to their latency and privacy requirements in federated edges. Experimental results demonstrate that Argos can reduce latency and privacy issues by 16.98% and 7.95%, respectively, compared to state-of-the-art approaches.