InterSCity: A Scalable Microservice-based Open Source Platform for Smart Cities

Esposte, Arthur de Moura Del; Kon, Fábio; Costa, Fábio Luiz Paranhos; Lago, Nelson

doi:10.5220/0006306200350046

Cited by 43 publications

(44 citation statements)

References 13 publications

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“…In order to demonstrate and evaluate the overall approach proposed in Section 4, we leverage existing research on microservice architectures; specifically, we employed the Perception, Assembly and Learning framework to the implementation of the InterSCity smart city platform [1], which was designed from scratch as a microservice architecture.…”

Section: Discussionmentioning

confidence: 99%

Towards emergent microservices for client-tailored design

Filho

Sá

Porter

et al. 2018

Proceedings of the 19th Workshop on Adaptive and Reflexive Middleware

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Contemporary systems are increasingly complex, with both large codebases and constantly changing environments which make them challenging to develop, deploy and manage. We consider two recent efforts to tackle this complexity: microservices and emergent software. Microservices have gained recent popularity in industry, in which monoliths of software are broken down into compositions of single-objective, end-to-end services running on HTTP which can be scaled out on cloud hosting systems. From the research community, the emergent systems concept demonstrates promise in using real-time learning to autonomously compose and optimise software systems from small building blocks, rapidly finding the best behavioural composition to match the current deployment conditions. We argue that emergent software and microservice architectures have strong potential for synergy in complex systems, offering mutually compatible lessons in dealing with complexity via scale-out design and real-time client-tailored behaviour. We explore self-designing microservices, built with emergent software, to demonstrate the complementary boundaries of both concepts-and how future intersections may offer novel architectures that lie at a compelling point between human-and machine-designed systems. We present the conceptual synergy and demonstrate a specific microservice architecture for a smart city example where scoped microservices are continually self-composed according to the demands of the applications and operating environment. For the purpose of reproducibility of the study, we make available all the code used in the evaluation of the proposed approach.

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Section: Discussionmentioning

confidence: 99%

Towards emergent microservices for client-tailored design

Filho

Sá

Porter

et al. 2018

Proceedings of the 19th Workshop on Adaptive and Reflexive Middleware

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“…The business layer is a loosely defined one that aggregates general functions to deal with an entire IoT system, including business models and security/privacy. Different extensions of the 3-layer IoT architecture added only one new layer, a middleware/service layer [6,19], and a security and management layer [20]. As for the latter, here we consider that orthogonal layers more adequately address these non-functional requirements.…”

Section: Iot Architectures and Platformsmentioning

confidence: 99%

“…Although other smart applications exist, these four ones represent the majority of currents efforts where IoT has been applied in real cases [3]. Cities are becoming smarter for citizens and municipal governments, as new and existing technologies are increasingly used to the development of a substantial variety of services and applications [6,7]. In farms, the use of technology to add intelligence to agriculture still has a vast potential to generate significant advances.…”

Section: Iot Smart Applicationsmentioning

confidence: 99%

“…The number of devices connected to the Internet has been increasing steadily [1,2], so smart applications will typically have to deal with thousands or even millions of devices. Customized configurations, automated reconfigurability, and scalability are critical challenges in any successful deployment of IoT smart applications [3], in areas such as agriculture [4,5], cities [6,7], healthcare [8] and industry [9].…”

Section: Introductionmentioning

confidence: 99%

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Architecting and Deploying IoT Smart Applications: A Performance–Oriented Approach

Zyrianoff

Heideker

Silva

et al. 2019

Sensors

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Layered internet of things (IoT) architectures have been proposed over the last years as they facilitate understanding the roles of different networking, hardware, and software components of smart applications. These are inherently distributed, spanning from devices installed in the field up to a cloud datacenter and further to a user smartphone, passing by intermediary stages at different levels of fog computing infrastructure. However, IoT architectures provide almost no hints on where components should be deployed. IoT Software Platforms derived from the layered architectures are expected to adapt to scenarios with different characteristics, requirements, and constraints from stakeholders and applications. In such a complex environment, a one-size-fits-all approach does not adapt well to varying demands and may hinder the adoption of IoT Smart Applications. In this paper, we propose a 5-layer IoT Architecture and a 5-stage IoT Computing Continuum, as well as provide insights on the mapping of software components of the former into physical locations of the latter. Also, we conduct a performance analysis study with six configurations where components are deployed into different stages. Our results show that different deployment configurations of layered components into staged locations generate bottlenecks that affect system performance and scalability. Based on that, policies for static deployment and dynamic migration of layered components into staged locations can be identified.

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“…Essa centralização dos dispositivos auxilia na criação de aplicações voltadas à manutenção e ao gerenciamento de cidades inteligentes. No artigo de Esposte et al (2017) [EKCL17] é demonstrada uma aplicação que faz uso da plataforma InterSCity, destinada ao monitoramento de vagas para estacionamento chamada "Smart Parking App" ilustrada na gura 2.3. Esta aplicação usa sensores conectados via um "gateway IoT" que tem as responsabilidades de manter um registro dos dispositivos conectados e informar à plataforma InterSCity quando uma vaga se torna disponível.…”

Section: Sistemas De Apoio à Cidades Inteligentesunclassified

INvestigate and Analyse a City - INACITY

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InterSCity: A Scalable Microservice-based Open Source Platform for Smart Cities

Cited by 43 publications

References 13 publications

Towards emergent microservices for client-tailored design

Towards emergent microservices for client-tailored design

Architecting and Deploying IoT Smart Applications: A Performance–Oriented Approach

INvestigate and Analyse a City - INACITY

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