Model of Functional Behavior of Healthcare Internet of Things Device Using Erlang Phase Method The presented paper deals with exponentially growing technology xe2x80x93 the Internet of Things (IoT) in the field of healthcare and medicine providing. The goal of the paper is to develop and research a discretecontinuous stochastic model (DCSM) of a functional behavior of a networked healthcare device (in the considered case xe2x80x93 an insulin pump) in a form of a structural automaton model (SAM) using the Erlang phase method. It is spoken in the brief details about the healthcare IoT environment, networked insulin pump hazards and behavior with a description of the functional procedures, indicators and parameters of functionality and safety are given. Much attention is aimed at the development process of the DCSM using exponential and Erlangxe2x80x99s distribution laws, description of basic events and structure of a state vector, development of the SAMs. The procedures of validation of the developed models for the exponential and Erlangxe2x80x99s distribution laws are presented and include four research cases to check the relevance of the obtained results. The obtained results show the limit value of the task nonperforming probability.

FBBeam: An Erlangbased IEC 61499 Implementation The IEC 61499 is a modeling language for distributed control systems. Despite numerous research results existing on this topic, industry acceptance is lacking. This paper aims to investigate the benefits of reusing an existing soft realtime runtime system for the implementation of the IEC 61499. For this purpose, FBBeam, a compiler that automatically converts IEC 61499 models to Erlang source code, was implemented. Possible execution semantics are presented and compared to the Erlang execution model. An initial case study examines the scalability of a multitasking runtime environment. The results indicate that Erlang is able to utilize multiple CPU cores efficiently and can distribute the load dynamically. FBBeam represents an opportunity to reutilize an existing runtime environment for research on dynamic updating, distribution, monitoring, maintenance, and faulttolerance for Industry 4.0 or Cyber Physical Production Systems.