Title: Developing an edge computing platform for real-time descriptive analytics,
Abstract: The Internet of Mobile Things encompasses stream data being generated by
sensors, network communications that pull and push these data streams, as well
as running processing and analytics that can effectively leverage actionable
information for transportation planning, management, and business advantage.
Edge computing emerges as a new paradigm that decentralizes the communication,
computation, control and storage resources from the cloud to the edge of the
network. This paper proposes an edge computing platform where mobile edge nodes
are physical devices deployed on a transit bus where descriptive analytics is
used to uncover meaningful patterns from real-time transit data streams. An
application experiment is used to evaluate the advantages and disadvantages of
our proposed platform to support descriptive analytics at a mobile edge node
and generate actionable information to transit managers.