Pubblicazioni

@inproceedings{Cicirelli2020c,

title = {An Energy Management System at the Edge based on Reinforcement Learning},

author = {F. Cicirelli and A. F. Gentile and E. Greco and A. Guerrieri and G. Spezzano and A. Vinci},

doi = {10.1109/DS-RT50469.2020.9213697},

isbn = {9781728173436},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

booktitle = {2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)},

journal = {Proceedings of the 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2020},

publisher = {IEEE},

abstract = {In this work, we propose an IoT edge-based energy management system devoted to minimizing the energy cost for the daily-use of in-home appliances. The proposed approach employs a load scheduling based on a load shifting technique, and it is designed to operate in an edge-computing environment naturally. The scheduling considers all together time-variable profiles for energy cost, energy production, and energy consumption for each shiftable appliance. Deadlines for load termination can also be expressed. In order to address these goals, the scheduling problem is formulated as a Markov decision process and then processed through a reinforcement learning technique. The approach is validated by the development of an agent-based real-world test case deployed in an edge context.},

keywords = {Edge computing, Energy Management Systems, internet of things, multi-agent systems, Reinforcement Learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8360343,

title = {A Metamodel Framework for Edge-Based Smart Environments},

author = {Franco Cicirelli and Giancarlo Fortino and Antonio Guerrieri and Alessandro Mercuri and Giandomenico Spezzano and Andrea Vinci},

url = {https://ieeexplore.ieee.org/document/8360343/},

doi = {10.1109/IC2E.2018.00067},

year  = {2018},

date = {2018-04-01},

urldate = {2018-04-01},

booktitle = {2018 IEEE International Conference on Cloud Engineering (IC2E)},

pages = {286-291},

publisher = {IEEE},

abstract = {Smart Environments (SEs) are pervasive systems usually built on top of IoT-based sensing and actuation devices which are spread in an environment. The increase of the on-board computational capacity of the used devices opens to the possibility of naturally exploiting the edge computing paradigm in which the computation is pushed at the edge of the network. Anyway, despite the huge interest towards SEs, there is a lack of approaches for their design. This paper proposes an enhancement of the existing Smart Environment Metamodel (SEM) framework suited for designing SEs. The provided extension aims at taking into account issues related to edge computing, management of timing information and definition of the data types involved in data sources. The effectiveness of the whole proposal is assessed through a case study describing the development of a Smart Office.},

keywords = {Computational modeling, Edge computing, internet of things, Metamodeling, modeling, Object oriented modeling, Sensors, smart environments, Smart Office, Timing, Unified modeling language},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Cicirelli2018b,

title = {Exploiting the sem framework for modeling smart cities},

author = {F. Cicirelli and G. Fortino and A. Guerrieri and A. Mercuri and G. Spezzano and A. Vinci},

editor = {Fortino, G., Ali, A., Pathan, M., Guerrieri, A., Di Fatta, G.},

doi = {10.1007/978-3-319-97795-9_9},

issn = {16113349},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

booktitle = {Internet and Distributed Computing Systems. IDCS 2017.},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {10794 LNCS},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

abstract = {Smart Cities are smart environments extending over a wide geographical area having the aim of improving the quality of life of the citizens and optimizing the management of city resources. Despite the paramount interest towards these systems, there is a lack of approaches for their design. The Smart Environment Metamodel (SEM) is a framework which is well suited for the development of smart environments in general, and Smart Cities in particular. SEM allows the design of such systems by offering two different perspective focusing on functional and data requirements. This paper aims at showing the effectiveness of SEM by exploiting the framework for the design of a case study referring to a realized Smart City application developed in the city of Cosenza, Italy.},

keywords = {Implementation, internet of things, Meta-modeling, modeling, Smart Cities, Smart Street Cosenza},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Cicirelli2018d,

title = {IoT-centric edge computing for context-aware smart environments},

author = {F. Cicirelli and A. Guerrieri and A. Mercuri and G. Spezzano and A. Vinci},

doi = {10.1109/ICIOT.2018.00031},

isbn = {9781538672440},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

booktitle = {2018 IEEE International Congress on Internet of Things (ICIOT)},

journal = {Proceedings - 2018 IEEE International Congress on Internet of Things, ICIOT 2018 - Part of the 2018 IEEE World Congress on Services},

publisher = {IEEE},

abstract = {The ever increasing diffusion of the Internet of Things is currently promoting the development of pervasive Smart Environments. The effectiveness of such systems is highly related to the capability of dealing with possible changes in users' habits, adapting the system to people needs and envisaging people behaviors. For this purposes, it becomes important to have methodological approaches and technologies favoring the development of cognitive systems aware of what is happening inside them. In this paper a methodological approach for the development of context-aware IoT-based Smart Environments is proposed. Such approach relies on a three-layered architecture offering some well suited abstractions taking also into account that computational resources in a system can be located either at the edge of the network or in the Cloud. A case study is proposed which concerns the development of a Smart Office devoted to forecast workers' presence and to adapt the office environmental conditions to them.},

keywords = {Context awareness, Edge computing, internet of things, Methodological approaches, smart environments},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cicirelli2017edge,

title = {An edge-based approach to develop large-scale smart environments by leveraging SIoT},

author = {Franco Cicirelli and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci and Orazio Briante and Antonio Iera and Giuseppe Ruggeri},

url = {http://ieeexplore.ieee.org/document/8000182/},

doi = {10.1109/ICNSC.2017.8000182},

isbn = {978-1-5090-4428-3},

year  = {2017},

date = {2017-01-01},

booktitle = {Networking, Sensing and Control (ICNSC), 2017 IEEE 14th International Conference on},

pages = {738–743},

organization = {IEEE},

abstract = {Abstract—Large-scale Smart Environments (LSEs) are open and dynamic systems where issues related to scalability and interoperability require to be carefully addressed. Moreover, as such systems typically extend on a wide area and include a huge number of interacting devices, aspects concerning services and objects discovery and reputation assessment require being managed. Despite the increasing interest in this topic, there is a lack of approaches for developing LSEs. This paper proposes an agent-based approach for the development of LSEs which leverages Edge Computing and Social Internet of Things paradigms in order to address the above mentioned issues. The effectiveness of such an approach is assessed through a case study involving a Smart School District environment.},

keywords = {Edge computing, internet of things, multi-agent systems, smart environments, social internet of things},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Cicirelli2017d,

title = {Edge enabled development of Smart Cyber-Physical Environments},

author = {F. Cicirelli and G. Fortino and A. Guerrieri and G. Spezzano and A. Vinci},

doi = {10.1109/SMC.2016.7844769},

isbn = {9781509018970},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

booktitle = {2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},

journal = {2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings},

publisher = {IEEE},

abstract = {Smart Cyber-Physical Environments are augmented physical environments whose behaviours are enhanced through the use of ICT technologies. The goal is to offer new services and functionalities devoted to meet people's needs and preferences, and to better exploit existing services and infrastructures. The use of IoT technologies, paired with the edge computing, fosters the development of Smart Environment applications having the important features of reliability, scalability and extensibility. This paper proposes an approach for the design and the implementation of Smart Cyber Physical Environment applications having the aforementioned features. The approach relies on the use of isapiens which is an IoT platform enabling edge computing through the exploitation of the agent metaphor. Such platform provides effective abstractions which are able to hide heterogeneity of both the adopted hardware devices and communication protocols. The approach is validated through a case study involving the realization of a Smart Office prototype for profiling and monitoring daily working activities and performing actuations in the environment on the basis of the obtained information.},

keywords = {Agent Computing, Cyber-Physical Systems, Edge computing, internet of things, smart environments, Smart Office},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{giordano2016smartb,

title = {Smart Agents and Fog Computing for Smart City Applications},

author = {Andrea Giordano and Giandomenico Spezzano and Andrea Vinci},

editor = {Alba, E., Chicano, F., Luque, G.},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

booktitle = {Smart Cities. Smart-CT 2016},

pages = {137–146},

organization = {Springer International Publishing},

series = {Lecture Notes in Computer Science},

keywords = {cyber physical systems, fog computing, internet of things, multi-agent systems, res-novae, smart city},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{CicirelliFGSV16,

title = {A meta-model framework for the design and analysis of smart cyber-physical environments},

author = {Franco Cicirelli and Giancarlo Fortino and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci},

url = {http://dx.doi.org/10.1109/CSCWD.2016.7566072},

doi = {10.1109/CSCWD.2016.7566072},

year  = {2016},

date = {2016-01-01},

booktitle = {20th IEEE International Conference on Computer Supported Cooperative 

 Work in Design, CSCWD 2016, Nanchang, China, May 4-6, 2016},

pages = {687–692},

publisher = {IEEE},

keywords = {cyber physical systems, development methodology, internet of things, modeling, smart environments, uml},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{giordano2015twitter,

title = {Twitter to integrate human and Smart Objects by a Web of Things architecture},

author = {Andrea Giordano and Giandomenico Spezzano and Hanry Sunarsa and Andrea Vinci},

year  = {2015},

date = {2015-01-01},

booktitle = {Computer Supported Cooperative Work in Design (CSCWD), 2015 IEEE 19th International Conference on},

pages = {355–361},

organization = {IEEE},

keywords = {internet of things, smart objects, twitter},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{fortino2015data,

title = {A Data Analytics Schema for Activity Recognition in Smart Home Environments},

author = {Giancarlo Fortino and Andrea Giordano and Antonio Guerrieri and Giandomenico Spezzano and Andrea Vinci},

year  = {2015},

date = {2015-01-01},

booktitle = {Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information: 9th International Conference, UCAmI 2015, Puerto Varas, Chile, December 1-4, 2015, Proceedings},

volume = {9454},

pages = {91},

organization = {Springer},

keywords = {activity recognition, analytics, cloud computing, internet of things, multi-agent systems, smart homes, wireless sensor and actuator networks},

pubstate = {published},

tppubtype = {inproceedings}

}