Smart City Gnosys

Smart city article details

Title Performance Analysis Of The Ubiquitous And Emergent Properties Of An Autonomic Reflective Middleware For Smart Cities
ID_Doc 41686
Authors Aguilar, J; Jerez, M; Mendonça, M; Sánchez, M
Year 2020
Published COMPUTING, 102, 10
DOI http://dx.doi.org/10.1007/s00607-020-00799-5
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, allows exploiting the wealth of information and knowledge generated in a Smart City, and improving its planning and services offered to its citizens. In this way, the people are immersed in these spaces, which are aware of their presence (context-sensitive) and adapt to their needs. The context analysis in a smart city allows making available services and information, to support ubiquitously the activities of the individuals. This study aims to analyze the emerging and ubiquitous capabilities of an Autonomic Reflective Middleware. The Middleware is based on intelligent agents that can be adapted to the existing dynamism in a city for, ubiquitously, responding to the requirements of citizens. It uses emerging ontologies that allow, not only the adaptation to the context of the moment and in real-time but also responds to unforeseen situations.
Author Keywords Autonomic computing; Context-aware services; Emergent services; Middleware; Multi-agent systems; Emergent ontology; Smart city; Ubiquitous computing


Similar Articles


Id Similarity Authors Title Published
8188 View0.905Aguilar J.; Sanchez M.B.; Jerez M.; Mendonca M.An Extension Of The Misci Middleware For Smart Cities Based On Fog ComputingFog Computing: Breakthroughs in Research and Practice (2018)
2756 View0.876do Nascimento L.V.; de Oliveira J.P.M.A Multi-Agent Architecture For Context Sources Integration In Smart CitiesFuture Generation Computer Systems, 172 (2025)
50366 View0.869Goumopoulos C.Smart City Middleware: A Survey And A Conceptual FrameworkIEEE Access, 12 (2024)
8175 View0.868McKenna H.P.An Exploration Of Theory For Smart Spaces In Everyday Life: Enriching Ambient Theory For Smart CitiesSmart Spaces: a volume in Intelligent Data-Centric Systems (2024)
54471 View0.867Bazan-Muñoz A.; Ortiz G.; Augusto J.C.; Garcia-de-Prado A.Taxonomy And Software Architecture For Real-Time Context-Aware Collaborative Smart EnvironmentsInternet of Things (Netherlands), 26 (2024)
59884 View0.866Bouroche M.; Dusparic I.Urban Computing: The Technological Framework For Smart CitiesHandbook of Smart Cities (2021)
48454 View0.866Deal, B; Pallathucheril, V; Kim, YW; Pan, HZSentient Pss For Smart CitiesPLANNING SUPPORT SYSTEMS AND SMART CITIES (2015)
7303 View0.865Bwalya, KJAmbient Intelligence In Smart City Environments: Topologies And Information ArchitecturesGUIDE TO AMBIENT INTELLIGENCE IN THE IOT ENVIRONMENT: PRINCIPLES, TECHNOLOGIES AND APPLICATIONS (2019)
3701 View0.865Okhovat E.; Bauer M.A Policy-Based Autonomic Management System For Smart Cities Leveraging Off-The-Shelf PlatformsLecture Notes in Networks and Systems, 1155 LNNS (2024)
8802 View0.86Borgo S.; Borri D.; Camarda D.; Stufano Melone M.R.An Ontological Analysis Of Cities, Smart Cities And Their ComponentsPhilosophy of Engineering and Technology, 36 (2021)