Publications » Engineering Micro-intelligence at the Edge of CPCS: Design Guidelines

Engineering Micro-intelligence at the Edge of CPCS: Design Guidelines

Roberta Calegari, Giovanni Ciatto, Stefano Mariani, Enrico Denti, Andrea Omicini
The Intelligent Edge computing paradigm is playing a major role in the design and development of Cyber-Physical and Cloud Systems (CPCS), extending the Cloud and overcoming its limitations so as to better address the issues related with the physical dimension of data—and therefore of the data-aware intelligence (such as context-awareness and real time responses). Despite the proliferation of research works in this area, a well-founded software engineering approach specifically addressing the distribution of intelligence sources between the Edge and the Cloud is still missing. In this paper we propose some general criteria along with a coherent set of guidelines to follow in the design of distributed intelligence within CPCS, suitably exploiting Edge and Cloud paradigms to effectively enable data intelligence and taking into account the integration of symbolic and sub-symbolic approaches to reasoning. As a motivating scenario as well as the running case study we adopt intelligent traffic management. Then, we exploit the notion of micro-intelligence as the situated intelligence of Edge computing, promoting the idea of intelligent environment embodying rational processes meant to complement the cognitive process of individuals in order to reduce their cognitive workload and augment their cognitive capabilities. In order to demonstrate the general applicability of our guidelines, we propose Situated Logic Programming (SLP) as the conceptual framework for delivering micro-intelligence in CPCS, LPaaS as its reference architecture, and LPaaS-REST as its technological embodiment.
Keywords: design guidelines, micro-intelligence, LPaaS, Situated Logic Programming, Edge intelligence
Intelligent Systems and Technology Intelligent Edge Computing for Cyber Physical and Cloud Systems, 2019.
Yu Zheng (eds.)
@article{,
	year = 2019,
	keywords = {design guidelines, micro-intelligence, LPaaS, Situated Logic Programming, Edge intelligence},
	status = {Submitted},
	venue_list = {--},
	editor = {Zheng, Yu },
	journal = {Intelligent Systems and Technology},
	author = {Calegari, Roberta and Ciatto, Giovanni and Mariani, Stefano and Denti, Enrico and Omicini, Andrea},
	title = {Engineering Micro-intelligence at the Edge of CPCS: Design Guidelines},
	abstract = {The Intelligent Edge computing paradigm is playing a major role in the design and development of Cyber-Physical and Cloud Systems (CPCS), extending the Cloud and overcoming its limitations so as to better address the issues related with the physical dimension of data—and therefore of the data-aware intelligence (such as context-awareness and real time responses). Despite the proliferation of research works in this area, a well-founded software engineering approach specifically addressing the distribution of intelligence sources between the Edge and the Cloud is still missing.
In this paper we propose some general criteria along with a coherent set of guidelines to follow in the design of distributed intelligence within CPCS, suitably exploiting Edge and Cloud paradigms to effectively enable data intelligence and taking into account the integration of symbolic and sub-symbolic approaches to reasoning. As a motivating scenario as well as the running case study we adopt intelligent traffic management. Then, we exploit the notion of micro-intelligence as the situated intelligence of Edge computing, promoting the idea of intelligent environment embodying rational processes meant to complement the cognitive process of individuals in order to reduce their cognitive workload and augment their cognitive capabilities. In order to demonstrate the general applicability of our guidelines, we propose Situated Logic Programming (SLP) as the conceptual framework for delivering micro-intelligence in CPCS, LPaaS as its reference architecture, and LPaaS-REST as its technological embodiment.},
	volume = {Intelligent Edge Computing for Cyber Physical and Cloud Systems}}