Lightweight Multitenancy at the Network’s Extreme Edge

Liu, Peng; Hartung, Lance; Banerjee, Suman

doi:10.1109/mc.2017.3641633

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…4.14.2 Edge Computing Middleware. One of the software implementations for fog is developed by the researchers of the University of Wisconsin, named ParaDrop [383]. ParaDrop is an edge computing platform that runs on WiFi access points to enable edge computing at the extreme edge of the network.…”

Section: Software and Toolsmentioning

confidence: 99%

All one needs to know about fog computing and related edge computing paradigms: A complete survey

Yousefpour

Fung

Nguyen

et al. 2019

Journal of Systems Architecture

1,111

613

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With the Internet of Things (IoT) becoming part of our daily life and our environment, we expect rapid growth in the number of connected devices. IoT is expected to connect billions of devices and humans to bring promising advantages for us. With this growth, fog computing, along with its related edge computing paradigms, such as multi-access edge computing (MEC) and cloudlet, are seen as promising solutions for handling the large volume of securitycritical and time-sensitive data that is being produced by the IoT. In this paper, we first provide a tutorial on fog computing and its related computing paradigms, including their similarities and differences. Next, we provide a taxonomy of research topics in fog computing, and through a comprehensive survey, we summarize and categorize the efforts on fog computing and its related computing paradigms. Finally, we provide challenges and future directions for research in fog computing.

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Section: Software and Toolsmentioning

confidence: 99%

All one needs to know about fog computing and related edge computing paradigms: A complete survey

Yousefpour

Fung

Nguyen

et al. 2019

Journal of Systems Architecture

1,111

613

View full text Add to dashboard Cite

show abstract

“…The experimentation in this demo aims to show the capability of installing professional IoT services in an open edge computing platform represented by Cloudy, and consists of: 1) Exploration of the microcloud by live access to a Cloudy node 3 . 2) Through the web interface of Cloudy, managing and accessing specific services from the perspective of an end user.…”

Section: I I E X P E R I M E N Tat I O Nmentioning

confidence: 99%

“…Many concepts and implementations, on which we build our edge computing approach presented in this demonstration, are currently developed or have been successfully proven in the past. Container-based service provisioning on Customer Premises Equipment (CPE) is proposed in the ParaDrop system [3], and container toolkits and standardization are nowadays heavily promoted by the Linux Foundation's project, 1 https://cloudy.community/ Cloud Native Computing Foundation (CNCF). Data processing for IoT, through conducting data-intensive computing on distributed and decentralized clouds at the network edge [4], has been under active research.…”

Section: Introductionmentioning

confidence: 99%

Demo abstract: Towards IoT service deployments on edge community network microclouds

Khan

Freitag

Vlassov

et al. 2018

IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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Internet of Things (IoT) services for personal devices and smart homes provided by commercial solutions are typically proprietary and closed. These services provide little control to the end users, for instance to take ownership of their data and enabling services, which hinders these solutions' wider acceptance. In this demo paper, we argue for an approach to deploy professional IoT services on user-controlled infrastructure at the network edge. The users would benefit from the ability to choose the most suitable service from different IoT service offerings, like the one which satisfies their privacy requirements, and third-party service providers could offer more tailored IoT services at customer premises. We conduct the demonstration on microclouds, which have been built with the Cloudy platform in the Guifi.net community network. The demonstration is conducted from the perspective of end users, who wish to deploy professional IoT data management and analytics services in volunteer microclouds.

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“…Un claro ejemplo de uso de la tecnología de contenedores es el presentado en [132] [106] donde se implementa un gateway IoT utilizando micro-servicios basados en la virtualización de contenedores Docker para optimizar los recursos. Conjuntamente con esta visión del uso de tecnologías de virtualización ligera, plataformas como Apache Edgent o ParaDrop han sido desarrollados para proveer procesamiento de datos en el borde [133] [134]. Apache Edgent es una plataforma para realizar procesamiento de datos en tiempo real en dispositivos ubicados en el borde, mayormente utilizado para integrarse con la plataforma de IBM Watson IoT en el Cloud [135].…”

Section: Fog Computingunclassified

Arquitectura de análisis de datos generados por el internet de las cosas IoT en tiempo real.

Jácome¹,

Fernando²

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avanços en la tecnologia de fog computing i els models de serveis de cloud computing per a implementar les seues funcionalitats. L arquitectura presentada ha sigut aplicada a tres casos d usos derivats dels projectes europeus ACTIVAGE i PixelPort finançats per la Unió Europea. El primer d ells té l objectiu de monitoritzar, controlar i guiar durant el tractament de la apnea del somni en adults majors. El segon persegueix la detecció primerenca de caigudes en adults majors basat en algoritmes de Intel•ligència Artificial. I l Últim té l objectiu de explotar el Big Data compartint en l espai de dades industrials per a entorns marítims amb el fi de proporcionar informació rellevant per a la planificació de les operacions dels vaixells de contenidors.

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Lightweight Multitenancy at the Network’s Extreme Edge

Cited by 5 publications

References 10 publications

All one needs to know about fog computing and related edge computing paradigms: A complete survey

All one needs to know about fog computing and related edge computing paradigms: A complete survey

Demo abstract: Towards IoT service deployments on edge community network microclouds

Arquitectura de análisis de datos generados por el internet de las cosas IoT en tiempo real.

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