Adaptive database synchronization for an online analytical cioud-to-edge continuum
Daniel Costa, José Pereira, Ricardo Manuel Pereira Vilaca, Nuno Faria · Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing · 2022
Wide availability of edge computing platforms, as expected in emerging 5G networks, enables a computing continuum between centralized cloud services and the edge of the network, close to end-user devices. This is particularly appealing for online analytics as data collected by devices is made available for decision-making. However, cloud-based parallel-distributed data processing platforms are not able to directly access data on the edge. This can be circumvented, at the expense of freshness, with data synchronization that periodically uploads data to the cloud for processing.