Call for Papers! ADIDSE IARIA Special Track aims at tackling the problems and discussing the advancements in Data-Intensive Distributed Systems Engineering with the community of Engineers and Scientists out there.
The advent of the IoT (Internet of Things), by forecasts, is going to bring 40 Billion connected devices by 2020. Such an enormous fleet of smart devices is going to produce an unprecedented volume of data which will challenge the capabilities of today’s data-intensive distributed systems: scenarios like hundreds of millions of devices concurrently interacting (at the machine speed) with specific Internet Services shall be almost the norm. The current state of the art in the data-intensive distributed systems is going to be revisited to accommodate this likely explosion in the data to be processed, but first moved reliably: paradigms like Fog Computing, as well as Statistical Aggregation/Compression have been envisaged to solve the first mile problem (i.e., reducing the volume of data flowing from the Edge, with which Devices normally interact). Data still lives into data centers, and most of the time the processing on it is implemented there as well; they are collection points in which completeness can be assumed. Today’s message buses, as well as processing pipelines and databases are not going to be suited anymore to accommodate data flowing into the infrastructure which is generated at the machine speed. Advancements in techniques, architectures, algorithms, as well as ancillary novelties are envisaged to accommodate the above said challenges. This special track is going to focus on the engineering efforts which are going to enable the processing/computation, as well as movement of the foreseen extraordinary volumes of data.