Introducing the QEST broker: Scaling the IoT by bridging MQTT and REST

Collina, Matteo; Corazza, G.E.; Vanelli‐Coralli, Alessandro

doi:10.1109/pimrc.2012.6362813

Cited by 103 publications

(59 citation statements)

References 8 publications

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“…Es un protocolo basado en petición/respuesta mediante paquetes UDP y sigue los mismos esquemas que HTTP, permitiendo crear recursos REST. El protocolo MQTT, diseñado por IBM, es ahora también de estándar abierto, pero sigue un paradigma publicador/subscriptor sobre TCP, por lo que se hace más complicado establecer un puente de traducción entre HTTP-REST y MQTT [30].…”

Section: Capa De Composiciónunclassified

Web of Energy: hacia la integración inteligente para las redes de sensores en Smart Grids

Caballero

Vernet

Zaballos

et al. 2017

Proceedings XIII Jornadas De Ingenieria Telematica - JITEL2017

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Resumen-Las Smart Grids se presentan como una solución a la demanda de la gestión distribuida e inteligente de la energía, mejorando así las funciones de automatización, recolección y procesamiento de datos. Para dar soporte a estas funciones inteligentes, es necesario el despliegue de novedosas infraestructuras TIC diseñadas para tal propósito. Una de las principales problemáticas de las Smart Grids es la heterogeneidad de protocolos de comunicación utilizados por los dispositivos inteligentes que las integran. Para dar solución a este problema, se propone el uso del concepto de la Web of Things. Sin embargo, somos conscientes de que las entidades que se encargan de la generación y gestión de la energía eléctrica pueden encontrar dificultades para adaptar su infraestructura a este novedoso entorno. Este artículo propone la introducción del Actor Model como modelo de diseño para una infraestructura que soporte las demandadas funciones inteligentes y sea capaz de agrupar y convertir la heterogeneidad de las infraestructuras tradicionales en la homogeneidad característica de la Web of Things.Palabras Clave-Smart Grid, Redes de Sensores, Internet of Things, Web of Things, Actor Model

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Section: Capa De Composiciónunclassified

Web of Energy: hacia la integración inteligente para las redes de sensores en Smart Grids

Caballero

Vernet

Zaballos

et al. 2017

Proceedings XIII Jornadas De Ingenieria Telematica - JITEL2017

View full text Add to dashboard Cite

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“…Managing the collection of this data per user in a scalable way requires a systematic approach or methodology. However, current literature within the field of IoT tends to focus on low-level details such as the physical layer communication, messaging protocols used [3,14,10] and how to scale the communications architecture [1,2]. At the other end of the spectrum, there has been research conducted on designing technology-oriented frameworks and architectures to support the development of smart cities [5,13,9].…”

Section: Background and Related Workmentioning

confidence: 99%

DevOps for the Urban IoT

Moore

Kortuem

Smith

et al. 2016

Proceedings of the Second International Conference on IoT in Urban Space

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Choosing the right technologies to build an urban-scale IoT system can be challenging. There is often a focus on low-level architectural details such as the scalability of message handling. In our experience building an IoT information system requires a high-level holistic approach that mixes traditional data collection from vendor-specific cloud backends, together with data collected directly from embedded hardware and mobile devices. Supporting this heterogeneous environment can prove challenging and lead to complex systems that are difficult to develop and deploy in a timely fashion. In this paper we describe how we address these challenges by proposing a three-tiered DevOps model which we used to build an information system that is capable of providing real-time analytics of Electric Vehicle (EV) mobility usage and management within a smart city project.

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“…Collina et al in [15] have proposed an MQTT to REST bridge. This architecture exposes MQTT topics as REST resources.…”

Section: Background and Related Workmentioning

confidence: 99%

Translation error handling for multi-protocol SOA systems

Derhamy

Eliasson

Delsing

et al. 2015

2015 IEEE 20th Conference on Emerging Technologies &Amp; Factory Automation (ETFA)

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Abstract-The IoT research area has evolved to incorporate a plethora of messaging protocol standards, both existing and new, emerging as preferred communications means. The variety of protocols and technologies enable IoT to be used in many application scenarios. However, the use of incompatible communication protocols also creates vertical silos and reduces interoperability between vendors and technology platform providers. In many applications, it is important that maximum interoperability is enabled. This can be for reasons such as efficiency, security, end-to-end communication requirements etc. In terms of error handling each protocol has its own methods, but there is a gap for bridging the errors across protocols. Centralized software bus and integrated protocol agents are used for integrating different communications protocols.However, the aforementioned approaches do not fit well in all Industrial IoT application scenarios. This paper therefore investigates error handling challenges for a multi-protocol SOAbased translator. A proof of concept implementation is presented based on MQTT and CoAP. Experimental results show that multi-protocol error handling is possible and furthermore a number of areas that need more investigation have been identified.

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Introducing the QEST broker: Scaling the IoT by bridging MQTT and REST

Cited by 103 publications

References 8 publications

Web of Energy: hacia la integración inteligente para las redes de sensores en Smart Grids

Web of Energy: hacia la integración inteligente para las redes de sensores en Smart Grids

DevOps for the Urban IoT

Translation error handling for multi-protocol SOA systems

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