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A Smart City Lighting Case Study on an OpenStack-Powered Infrastructure.

Merlino G, Bruneo D, Distefano S, Longo F, Puliafito A, Al-Anbuky A - Sensors (Basel) (2015)

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: Mobile and Distributed Systems Lab, Dipartimento di Ingegneria, Università di Messina, Contrada di Dio, 98166 Messina, Italy. gmerlino@unime.it.

ABSTRACT
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.

No MeSH data available.


Smart city as a closed-loop system.
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f1-sensors-15-16314: Smart city as a closed-loop system.

Mentions: The smart city scenario is one of the most prominent scenarios for IoT involving computer-assisted treatment of sensed data and automation of urban areas and public facilities. Smart cities are usually characterized by field-deployed, dispersed, sensor-hosting smart platforms, usually available in several orders of magnitude greater quantities, possibly heterogeneous along several axes (instruction set architecture, operating system, user space, runtime, etc.). What makes a city smart is, apart from green and environment-friendly technologies, at least sensing and communication facilities, also embracing mobility, to enhance public transportation systems and monitor physical infrastructure (buildings, open spaces, etc.). When actuating subsystems enter the picture, the city as a whole may be compared to a nervous system, where reactive mechanisms are in place, either mediated centrally or even working autonomously. Indeed, as shown in Figure 1, a middleware devoted to management of both sensor- and actuator-hosting resources may help in the establishment of higher level services, including policies for “closing the loop”, such as configuring triggers for a range of (dispersed) actuators based on sensing activities from (geographically non-overlapping) sensing resources.


A Smart City Lighting Case Study on an OpenStack-Powered Infrastructure.

Merlino G, Bruneo D, Distefano S, Longo F, Puliafito A, Al-Anbuky A - Sensors (Basel) (2015)

Smart city as a closed-loop system.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541880&req=5

f1-sensors-15-16314: Smart city as a closed-loop system.
Mentions: The smart city scenario is one of the most prominent scenarios for IoT involving computer-assisted treatment of sensed data and automation of urban areas and public facilities. Smart cities are usually characterized by field-deployed, dispersed, sensor-hosting smart platforms, usually available in several orders of magnitude greater quantities, possibly heterogeneous along several axes (instruction set architecture, operating system, user space, runtime, etc.). What makes a city smart is, apart from green and environment-friendly technologies, at least sensing and communication facilities, also embracing mobility, to enhance public transportation systems and monitor physical infrastructure (buildings, open spaces, etc.). When actuating subsystems enter the picture, the city as a whole may be compared to a nervous system, where reactive mechanisms are in place, either mediated centrally or even working autonomously. Indeed, as shown in Figure 1, a middleware devoted to management of both sensor- and actuator-hosting resources may help in the establishment of higher level services, including policies for “closing the loop”, such as configuring triggers for a range of (dispersed) actuators based on sensing activities from (geographically non-overlapping) sensing resources.

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: Mobile and Distributed Systems Lab, Dipartimento di Ingegneria, Università di Messina, Contrada di Dio, 98166 Messina, Italy. gmerlino@unime.it.

ABSTRACT
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.

No MeSH data available.