Cloud Computing Integrated into Service-Oriented Multi-Agent Architecture

Rodrı́guez, Sara; Tapia, Dante I.; Sanz, Eladio; Zato, Carolina; Prieta, Fernando De la; Gil, Oscar

doi:10.1007/978-3-642-14341-0_29

Cited by 31 publications

(6 citation statements)

References 7 publications

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“…The Internet of Things, has been defined by various authors as the interaction and communication carried out between the connected devices that generate and exchange data with things or objects of the real world [2][3][4][5][6][7][8][9][10][11][12][13][14][15].…”

Section: ]mentioning

confidence: 99%

GECA: A Global Edge Computing Architecture

Sittón-Candanedo

2020

The Role of Artificial Intelligence and Distributed Computing in IoT Applications

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The smart scenarios are in continuous advance thanks to the group of devices that are always connected to Internet. In the last 10 years this phenomenon has been called Internet of Things (IoT). The adoption of the IoT to generate these intelligent scenarios or smart has motivated that governments, universities, research centers or companies are in constant evolution to face the challenges brought by the deployment of IoT platforms. Its disruption in all environments generates large volumes of data, requirements by users for their applications to respond in real time, but with low bandwidth or power consumption, and without delays. The challenges presented by the development of applications for the IoT has occasioned the emergence of technologies such as Edge Computing. This paper presents GECA: A Global Edge Computing Architecture, an architecture based on Edge Computing, which has been deployed in smart farming and smart energy scenarios, with the aim of demonstrating that it is possible to reduce latency, energy consumption and bandwidth costs and integrate Edge computing in IoT platforms.

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Section: ]mentioning

confidence: 99%

GECA: A Global Edge Computing Architecture

Sittón-Candanedo

2020

The Role of Artificial Intelligence and Distributed Computing in IoT Applications

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“…Diversos sistemas se han desarrollado utilizando sensores o redes de sensores, generando su incorporación en infraestructura, inteligencia ambiental, productos, equipos de producción, por lo que, son un componente implícito en un entorno actual [8].…”

Section: Cuarta Actualmenteunclassified

Extracción de patrones para la Industria 4.0 a través de un modelo predictivo

2019

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El Internet de las Cosas ha venido incorporándose a nuestras vidas de forma progresiva, trayendo consigo grandes beneficios para la humanidad como lo es disponer de infraestructuras y servicios más interconectados y eficientes, generación de empleo, reducción de costos operativos e incremento de ganancias. En este sentido, el desarrollo e instalación de sensores avanzados para recolección de datos, las soluciones informáticas de conexión remota y otras tecnologías disruptivas están marcando un proceso de transformación en la industria; dando inicio a lo que diversos sectores han denominado cuarta revolución industrial o Industria 4.0. En este artículo se presenta un modelo predictivo para la extracción de patrones utilizando técnicas de fusión de datos que permitan el diseño de un modelo de mantenimiento predictivo, a través de un enfoque de entrenamiento supervisado, realizar la clasificación de datos y probabilísticamente valores predictivos.

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“…On the other hand, the distributed computing model, whose the most widespread example is the client-server model, with largely demonstrated efficiency [12]. During the last years, a new model, known as Cloud Computing, has emerged with the aim of giving support to the explosive growth of the number of devices connected to Internet and complementing the increasing presence of technology in people's daily lives and, more specifically, in business environments [3] [7] [12].…”

Section: Background and Problem Descriptionmentioning

confidence: 99%

“…Thus, is necessary to consider people as the center of the developments in order to build intelligent and technologically complex scenarios in a wide range of different areas such as medicine, domestic, academic or public administration, where technology adapts to people's necessities and their environment, and not on the contrary. Here is where concepts such as Ambient Intelligence (AmI) [2], Cloud Computing [3], agent technology [3] [4] and innovative visualization interfaces and techniques [5] come into play in order to achieve an improved humanmachine interaction.…”

Section: Introductionmentioning

confidence: 99%

Cloud-IO: Cloud Computing Platform for the Fast Deployment of Services over Wireless Sensor Networks

Tapia

Alonso

García

et al. 2013

Advances in Intelligent Systems and Computing

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In the recent years, a new computing model, known as Cloud Computing, has emerged to react to the explosive growth of the number of devices connected to Internet. Cloud Computing is centered on the user and offers an efficient, secure and elastically scalable way of providing and acquiring services. Likewise, Ambient Intelligence (AmI) is also an emerging paradigm based on ubiquitous computing that proposes new ways of interaction between humans and machines, making technology adapt to the users' necessities. One of the most important aspects in AmI is the use of context-aware technologies such as Wireless Sensor Networks (WSN) to perceive stimuli from both the users and the environment. In this regard, this paper presents Cloud-IO, a Cloud Computing platform for the fast integration and deployment of services over WSNs.

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Cloud Computing Integrated into Service-Oriented Multi-Agent Architecture

Cited by 31 publications

References 7 publications

GECA: A Global Edge Computing Architecture

GECA: A Global Edge Computing Architecture

Extracción de patrones para la Industria 4.0 a través de un modelo predictivo

Cloud-IO: Cloud Computing Platform for the Fast Deployment of Services over Wireless Sensor Networks

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