Human-Driven Edge Computing and Communication: Part 2

Examines the new challenges posed by human-driven edge computing. The massive proliferation of personal computing devices is opening new human-centered designs that blur the boundaries between man and machine. In addition, edge services are also used to exchange the data collected and processed within the context of the IoT towards external services and/or to visualize them through traditional browser by the users. Now, the frontier for the research on the data management is related to the so-called edge computation and communication, consisting of an architecture of one or more collaborative multitude(s) of computing nodes that are placed between the sensor networks and the cloud-based services. Such a mediating level is responsible for carrying out a substantial amount of data storage and processing to reduce the retrieval time and have more control over the data with respect to cloud-based services, and to consume less resources and energy to reduce the workload.