Distributing situated intelligence in Cyber-Physical Systems (CPS) to realise the vision of Internet of Intelligent Things (IoIT) raises issues of efficiency and scalability - in particular when dealing with huge numbers of physical objects. Such issues do not just regard the application or service logic and runtime, but also impact on the software development process. Moving from the notion of Logic Programming as a Service (LPaaS) - a re-interpretation of distributed logic programming tailored to the IoT era - in this paper we describe how its architecture and development process deals with the aforementioned issues from a software engineering standpoint, by discussing the design, development practices, and delivery means of the LPaaS technology.
Calegari, R., Ciatto, G., Mariani, S., Denti, E., Omicini, A. (2018). Micro-intelligence for the IoT: SE challenges and practice in LPaaS. Institute of Electrical and Electronics Engineers Inc. [10.1109/IC2E.2018.00061].
Micro-intelligence for the IoT: SE challenges and practice in LPaaS
Calegari, Roberta;Ciatto, Giovanni;Denti, Enrico;Omicini, Andrea
2018
Abstract
Distributing situated intelligence in Cyber-Physical Systems (CPS) to realise the vision of Internet of Intelligent Things (IoIT) raises issues of efficiency and scalability - in particular when dealing with huge numbers of physical objects. Such issues do not just regard the application or service logic and runtime, but also impact on the software development process. Moving from the notion of Logic Programming as a Service (LPaaS) - a re-interpretation of distributed logic programming tailored to the IoT era - in this paper we describe how its architecture and development process deals with the aforementioned issues from a software engineering standpoint, by discussing the design, development practices, and delivery means of the LPaaS technology.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
