Design and evaluation of a scalable smart city software platform with large-scale simulations

Esposte, Arthur de Moura Del; Sant’Ana, Eduardo; Kanashiro, Lucas; Costa, Fábio M.; Braghetto, Kelly Rosa; Lago, Nelson; Kon, Fábio

doi:10.1016/j.future.2018.10.026

Cited by 69 publications

(30 citation statements)

References 17 publications

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“…These counters connect via fiber to traffic control centers from operators and supervisors companies (ARTESP, DER, WRITESYS), which send information using a REST API from a cloud broker, InterSCity [6], an integrated open-source platform containing all the major building blocks for the development of robust, integrated, sophisticated applications for smart cities [6]. Then, InterSCity stores data in a MongoDB database, and data visualisation tools (such as Tableau) are used to develop dashboards for the decision-making staff (Fig.…”

Section: Vehicular Mobility Monitoringmentioning

confidence: 99%

Challenges and Strategies for Information Systems in the Decision-Making Process to Face the COVID-19 Pandemic: The São Paulo Case

Santos

Teixeira

Neves

et al. 2021

Advances in Intelligent Systems and Computing

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The State of São Paulo was the epicenter of COVID-19 in Brazil, with a high impact on society, causing many deaths and significant losses to the economy. A milestone in confronting the pandemic was creating an Intelligent Monitoring System, whose mission was to consolidate and integrate data to support the state government in its strategic decisions. Overcoming the challenges of integration, anonymity, and privacy was essential to validate and make governmental actions legal and ethical. We present the technical aspects, the information integration and good practices in disseminating strategic data on mobility, health, and economy to support strategic decision making.

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Section: Vehicular Mobility Monitoringmentioning

confidence: 99%

Challenges and Strategies for Information Systems in the Decision-Making Process to Face the COVID-19 Pandemic: The São Paulo Case

Santos

Teixeira

Neves

et al. 2021

Advances in Intelligent Systems and Computing

Self Cite

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“…• cloud computing (Azhdari et al, 2019;Huang et al, 2019;Min-Allah et al, 2019;Wang et al, 2019;Del Esposte et al, 2019);…”

Section: Smart Technologyunclassified

Smart city concept in the light of the literature review

Winkowska

Szpilko

Pejić

2019

Engineering Management in Production and Services

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A B S T R A C T Nowadays, the transformations of metropolises into smart cities is a crucial factor in improving the living conditions of the inhabitants. The goal of the smart city concept is modern urban management using technical tools that offer state-of-the-art technologies, considering the applicable ecological standards while saving resources and achieving the expected results. The purpose of this article is to identify the areas of research analysed in the international literature in the field of smart cities. The bibliometric analysis was carried out to achieve the purpose. The analysis covered publications on smart cities published in Scopus and Web of Science databases from January 2009 to May 2019. Based on the bibliometric analysis, a bibliometric map was developed using the mapping technique VOS -the visualisation of similarities. Original clusters were created using the VOSviewer software. The bibliometric map visualises the results of the analysis that targeted the word coexistence. K E Y W O R D S smart city, smart city subareas, bibliometric map

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“…Similarly, a cloud-based architecture for coordinated emergency management in smart cities is designed, which adopts cloud computing to manage data computation and storage resources [19]. An open-source microservices-based IoT platform called InterSCity is proposed for enabling cooperative development of extensive services, systems, and applications needed for future smart cities [20]. The authors also mention a smart city simulator for generating realistic workloads for a Smart Parking scenario in Brazil.…”

Section: A Scalabilitymentioning

confidence: 99%

Scalable IoT Platform for Heterogeneous Devices in Smart Environments

et al. 2020

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The Internet of Things (IoT) is envisioned as a ubiquitous computing infrastructure in which everything becomes connected, enabling gigantic information exchange among Things and people. These connected smart Things generate an enormous amount of data which need to be efficiently managed to form a unified global IoT. Unfortunately, due to the lack of acceptable open standards, communication protocols, and support for device/service discovery, the recent IoT deployments in smart environments (e.g., smart home, smart building, smart city) are posing imperative challenges related to interoperability, discovery, and the configuration of deployed objects, since the number of objects is expected to grow over time. Therefore, it is of utmost importance to provide open and scalable solutions for the discovery of devices (i.e., Things), their configuration, and data management. This paper introduces an open and scalable IoT platform by adopting the modular characteristics of edge computing for smart environments. This paper: (i) performs a systematic literature review of IoT-based infrastructures and analyzes the scalability requirements; (ii) proposes a layered IoT platform for smart environments that fosters heterogeneity, interoperability, discovery, and scalability; and (iii) demonstrates the applicability of the proposed solution by relying on a comprehensive study of a Väre smart building use case at Aalto University.

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Design and evaluation of a scalable smart city software platform with large-scale simulations

Cited by 69 publications

References 17 publications

Challenges and Strategies for Information Systems in the Decision-Making Process to Face the COVID-19 Pandemic: The São Paulo Case

Challenges and Strategies for Information Systems in the Decision-Making Process to Face the COVID-19 Pandemic: The São Paulo Case

Smart city concept in the light of the literature review

Scalable IoT Platform for Heterogeneous Devices in Smart Environments

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