Exploiting edge computing for adaptive data update in Internet of Things networks
With the advent of the pervasive Internet of Things (IoT) era it is expected to have billions of entities simultaneously connected to the network, sharing heterogeneous data to support disparate applications. Such scenario will therefore open new challenges as for network management and information exchange rules. In this context, the increasing data volume may especially lead Cloud-based services to be suffering from overload and data traffic consumption increase when serving a huge number of devices.