Although, there is a number of studies exploring emerging edge computing technology, the state-of-the-art still lacks contributions in efficient data management strategies for near real-time edge analytics.

While cloud computing offers dynamic and scalable resources, edge computing pushes data processing to the edge of the network, in proximity of data sources. However, many requirements and limitations must be considered for reliable data analytics.

Movement of data analytics from distant cloud data centers to local edge nodes requires reliable data management strategies with support from the IoT gathering layer.