Prescriptive Analytics Based Autonomic Networking for Urban Streams Services Provisioning

Smart Cities represents a large living lab environment. Due to intensively interconnected and overlapped types of systems the approach to extract effective paths to the right information on the right time raise large problems in terms of data processing capabilities. Streams acquired from all around a city raise specific challenges regarding appropriate ways to use, to extract valuable insights. In this paper is presented an ongoing work in CityPulse project regarding a new approach to look on the convergence between autonomic networking and stream based prescriptive analytics applied to dynamic city problems. Research presented aim to highlight the possible role of prescriptive analytics inside the autonomic loop, with an obvious focus on analysis step. Problem under investigation is focused on the selection of appropriate streams provisioning to be used on various city services. Short state of the art and proposed technological setup is presented in upcoming sections together with a reference identified use case.