@article {Merlino201516314,
	title = {A smart city lighting case study on an OpenStack-powered infrastructure},
	journal = {Sensors},
	volume = {15},
	number = {7},
	year = {2015},
	note = {cited By 0},
	pages = {16314-16335},
	publisher = {MDPI AG},
	abstract = {<p>The adoption of embedded systems, mobile devices and other smart devices keeps rising globally, and the scope of their involvement broadens, for instance, in smart city-like scenarios. In light of this, a pressing need emerges to tame such complexity and reuse as much tooling as possible without resorting to vertical ad hoc solutions, while at the same time taking into account valid options with regard to infrastructure management and other more advanced functionalities. Existing solutions mainly focus on core mechanisms and do not allow one to scale by leveraging infrastructure or adapt to a variety of scenarios, especially if actuators are involved in the loop. A new, more flexible, cloud-based approach, able to provide device-focused workflows, is required. In this sense, a widely-used and competitive framework for infrastructure as a service, such as OpenStack, with its breadth in terms of feature coverage and expanded scope, looks to fit the bill, replacing current application-specific approaches with an innovative application-agnostic one. This work thus describes the rationale, efforts and results so far achieved for an integration of IoT paradigms and resource ecosystems with such a kind of cloud-oriented device-centric environment, by focusing on a smart city scenario, namely a park smart lighting example, and featuring data collection, data visualization, event detection and coordinated reaction, as example use cases of such integration. {\textcopyright} 2015 by the authors; licensee MDPI, Basel, Switzerland.</p>
},
	keywords = {AMQP, Ceilometer, CEP, Clouds, CoAP, Coordination reactions, data visualization, embedded systems, IaaS, Infrastructure as a service (IaaS), IoT, Lighting, Meteorological instruments, Mobile devices, MOM, OpenStack, REST, smart cities},
	issn = {14248220},
	doi = {10.3390/s150716314},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84940184863\&partnerID=40\&md5=6b5fc8b27ed3943f0529cb3323f22e88},
	author = {Giovanni Merlino and Dario Bruneo and Salvatore Distefano and Francesco Longo and Antonio Puliafito and Adnan H. Al-Anbuky}
}
@proceedings {Merlino201521,
	title = {Stack4Things: Integrating IoT with OpenStack in a Smart City context},
	journal = {Proceedings of the 2014 International Conference on Smart Computing Workshops (SMARTCOMP Workshops)},
	year = {2014},
	note = {cited By 1; Conference of 2014 International Conference on Smart Computing Workshops, SMARTCOMP Workshops 2014 ; Conference Date: 5 November 2014; Conference Code:111083},
	pages = {21-28},
	publisher = {IEEE Computer Society},
	address = {Hong Kong, China, 5 November 2014},
	abstract = {<p>As the adoption of embedded systems, mobiles and other smart devices keeps rising, and the scope of their involvement broadens, for instance in the enablement of Smart City-like scenarios, a pressing need emerges to tame such complexity and reuse as much tooling as possible without resorting to vertical ad-hoc solutions, while at the same time taking into account valid options with regards to infrastructure management, and other more advanced functionalities. In this sense, a widely used and competitive framework for Infrastructure as a Service such as OpenStack, with its breadth in terms of feature coverage and expanded scope, looks like fitting the bill. This work thus describes rationale, efforts, and results so far achieved, for an integration of IoT paradigms and resource ecosystems with such a kind of Cloud-oriented environment, by focusing on a Smart City scenario, and featuring data collection and visualization as example use cases of such integration. {\textcopyright} 2014 IEEE.</p>
},
	keywords = {AMQP, Ceilometer, CEP, Clouds, CoAP, data visualization, embedded systems, IaaS, Infrastructure as a service (IaaS), Internet of Things, IoT, Meteorological instruments, MOM, OpenStack, REST, smart cities},
	isbn = {9781479964475},
	doi = {10.1109/SMARTCOMP-W.2014.7046678},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84925651440\&partnerID=40\&md5=d36947c633a2c7b011bffa40aa32db9f},
	author = {Giovanni Merlino and Dario Bruneo and Salvatore Distefano and Francesco Longo and Antonio Puliafito}
}
