2020
DOI: 10.1007/s00607-020-00799-5
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Performance analysis of the ubiquitous and emergent properties of an autonomic reflective middleware for smart cities

Abstract: One of the biggest challenges in a Smart City is how to describe and dispose of the enormous and multiple sources of information, and how to share and merge it into a single infrastructure, in a timely and correct manner. A Smart City requires computational platforms, which allow the interconnection of multiple and embedded systems, such that the technology is integrated with people, and can respond to unpredictable situations. The integration of information and communications technology in these spaces, allow… Show more

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Cited by 11 publications
(14 citation statements)
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References 33 publications
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“…MiSCi (Autonomic Reflective Middleware for Smart Cities) is an architecture for making context-aware smart decisions in a smart city [37]. The MiSCi employs a multi-layered architecture grounded in the Multiagent System (MAS) paradigm, inheriting attributes such as sociability, adaptability, and intelligence.…”
Section: Miscimentioning
confidence: 99%
See 1 more Smart Citation
“…MiSCi (Autonomic Reflective Middleware for Smart Cities) is an architecture for making context-aware smart decisions in a smart city [37]. The MiSCi employs a multi-layered architecture grounded in the Multiagent System (MAS) paradigm, inheriting attributes such as sociability, adaptability, and intelligence.…”
Section: Miscimentioning
confidence: 99%
“…For, instance, CityPulse incorporates a quality monitoring module that utilizes machine learning to evaluate the data quality from various input sources [28]. Also, the MiSCi middleware embeds AI functionalities, demonstrating its capacity for learning, autonomy, and reasoning, thereby ensuring that the city's digital responses are optimized based on past experiences and data [37]. OpenIoT expands on this technology by incorporating machine learning algorithms and statistical methods, facilitating enhanced data processing and informed decision-making [38].…”
Section: Artificial Intelligencementioning
confidence: 99%
“…Issues related to the management of the numerous and multiple sources of information and embedded systems involved in a Smart City, and how to share data and merge the subsystems into a single infrastructure, were addressed by the computational platform described in [47]. In detail, the study analyzed the capabilities of an autonomic reflective middleware for these purposes.…”
Section: Related Workmentioning
confidence: 99%
“…Step 4 -Secondary analysis: 3 articles included. During the second step, two references were excluded because they were retraction notes and another 251 were removed, because they (1) reported on reviews or surveys (i.e., 36), and (2) were not relevant for the objective of this systematic review (i.e., 215), since they were out of scope (e.g., [65][66][67][68][69][70][71]), or despite being focused on context-awareness and smart cities, did not present specific applications (e.g., [72][73][74][75][76][77][78].…”
Section: Selection Of the Studiesmentioning
confidence: 99%