Intelligent Self-Optimization for Edge and IoT Storage Platforms
The present work proposes a novel approach for intelligent self-optimization in an edge cloud employing IoT storage nodes that aims to proactively place docker and virtual machine images in specific nodes to minimize the transfer delays, the bandwidth used, and the occupied memory in the edge nodes.