Limits...
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.


Google Maps and Google Earth screenshots of Albert Park in Auckland, New Zealand.
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f2-sensors-15-16314: Google Maps and Google Earth screenshots of Albert Park in Auckland, New Zealand.

Mentions: Monitoring of shared spaces, like a public green park, a zoo or a shopping mall, may provide a significant number of ancillary services. These include, but are not limited to, collecting information on functional performance, public security and safety-related data, infrastructure and maintenance requirements, public interest in remotely exploring the space, just to name a few. Lampposts in outdoor shared spaces may be considered as suitable receptacles belonging to the public areas that could host the infrastructure for certain monitoring systems. These are usually available in all kinds of public shared spaces in modern cities. In addition to access to lighting and related energy management, these may also provide access to energy sources and, thus, possibly leverage power line-based communication over the smart grid. If we take Albert Park as an example, at the heart of Auckland City in New Zealand (see Figure 2), we have an instance of a park serving, apart from residents from neighbouring areas, a big community belonging to two universities (more than 50,000 people). These are adjacent to the park, from both the east and south sides. The park is well organized, populated with plants, pedestrian and bicycle tracks, lampposts and other facilities. It provides a short cut for the people of the two universities to reach the city centre and main transport stations, like bus, train and ferry terminals.


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)

Google Maps and Google Earth screenshots of Albert Park in Auckland, New Zealand.
© Copyright Policy
Related In: Results  -  Collection

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

f2-sensors-15-16314: Google Maps and Google Earth screenshots of Albert Park in Auckland, New Zealand.
Mentions: Monitoring of shared spaces, like a public green park, a zoo or a shopping mall, may provide a significant number of ancillary services. These include, but are not limited to, collecting information on functional performance, public security and safety-related data, infrastructure and maintenance requirements, public interest in remotely exploring the space, just to name a few. Lampposts in outdoor shared spaces may be considered as suitable receptacles belonging to the public areas that could host the infrastructure for certain monitoring systems. These are usually available in all kinds of public shared spaces in modern cities. In addition to access to lighting and related energy management, these may also provide access to energy sources and, thus, possibly leverage power line-based communication over the smart grid. If we take Albert Park as an example, at the heart of Auckland City in New Zealand (see Figure 2), we have an instance of a park serving, apart from residents from neighbouring areas, a big community belonging to two universities (more than 50,000 people). These are adjacent to the park, from both the east and south sides. The park is well organized, populated with plants, pedestrian and bicycle tracks, lampposts and other facilities. It provides a short cut for the people of the two universities to reach the city centre and main transport stations, like bus, train and ferry terminals.

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.