EmuFog: Extensible and scalable emulation of large-scale fog computing infrastructures

Mayer, Ruben; Graser, Leon; Gupta, Harshit; Saurez, Enrique; Ramachandran, Umakishore

doi:10.1109/fwc.2017.8368525

Cited by 106 publications

(75 citation statements)

References 14 publications

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“…Emu-Fog enables the user to design network topologies, embed fog nodes in the topology, and run Docker-based applications on those nodes connected by an emulated network. The modules of EmuFog are easily extensible, although EmuFog provides a default implementation for them [392]. Another emulation environment for fog computing is FogBed 10 that is based on Mininet and Docker [395].…”

Section: Simulation and Emulationmentioning

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

1,082

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: Simulation and Emulationmentioning

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

1,082

613

View full text Add to dashboard Cite

show abstract

“…EmuFog [21] is a set of scripts to transform a set of initial configurations (network topology and placement criteria) into the input of the MaxiNet [23] simulator. It uses a graph representation to define the network topology.…”

Section: Related Workmentioning

confidence: 99%

YAFS: A Simulator for IoT Scenarios in Fog Computing

2019

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We propose a fog computing simulator for analysing the design and deployment of applications through customized and dynamical strategies. We model the relationships among deployed applications, network connections and infrastructure characteristics through complex network theory, enabling the integration of topological measures in dynamic and customizable strategies such as the placement of application modules, workload location, and path routing and scheduling of services. We present a comparative analysis of the efficiency and the convergence of results of our simulator with the most referenced entity, iFogSim. To highlight YAFS functionalities, we model three scenarios that, to the best of our knowledge, cannot be implemented with current fog simulators: dynamic allocation of new application modules, dynamic failures of network nodes and user mobility along the topology.

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“…Emufog [27] is an emulation framework designed for fog computing, in which fog nodes are simulated by the maxinet, and applications run in the docker containers. Emufog is more realistic than simulation tools, but it does not support the mobility of clients and fog nodes.…”

Section: Related Workmentioning

confidence: 99%

Support Mobile Fog Computing Test in piFogBedII

Zhang

Togookhuu

2020

Sensors

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IoT and 5G technologies are making smart devices, medical devices, cameras and various types of sensors become parts of the Internet, which provides feasibility to the realization of infrastructure and services such as smart homes, smart cities, smart medical technology and smart transportation. Fog computing (edge computing) is a new research field and can accelerate the analysis speed and decision-making for these delay-sensitive applications. It is very important to test functions and performances of various applications and services before they are deployed to the production environment, and current evaluations are more based on various simulation tools; however, the fidelity of the experimental results is a problem for most of network simulation tools. PiFogBed is a fog computing testbed built with real devices, but it does not support the testing of mobile end devices and mobile fog applications. The paper proposes the piFogBedII to support the testing of mobile fog applications by modifying some components in the piFogBed, such as extending the range of end devices, adding the mobile and migration management strategy and inserting a container agent to implement the transparent transmission between end devices and containers. The evaluation results show that it is effective and the delay resulting from the migration strategy and container agent is acceptable.

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EmuFog: Extensible and scalable emulation of large-scale fog computing infrastructures

Cited by 106 publications

References 14 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

YAFS: A Simulator for IoT Scenarios in Fog Computing

Support Mobile Fog Computing Test in piFogBedII

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