FogNetSim++: A Toolkit for Modeling and Simulation of Distributed Fog Environment

Qayyum, Tariq; Malik, Asad Waqar; Khattak, Muazzam A. Khan; Khalid, Osman; Khan, Samee U.

doi:10.1109/access.2018.2877696

Cited by 144 publications

(65 citation statements)

References 35 publications

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“…FogNetSim++ [61] is a fog simulator tool that provides users with detailed configuration options to simulate a large fog network. It is designed on the top of OMNeT++ [62] which is an open source tool that provides an extensive library to simulate network characteristics using discrete event simulation.…”

Section: Fog and Edge Modelling And Simulation Toolsmentioning

confidence: 99%

Simulating Fog and Edge Computing Scenarios: An Overview and Research Challenges

et al. 2019

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The fourth industrial revolution heralds a paradigm shift in how people, processes, things, data and networks communicate and connect with each other. Conventional computing infrastructures are struggling to satisfy dramatic growth in demand from a deluge of connected heterogeneous end points located at the edge of networks while, at the same time, meeting quality of service levels. The complexity of computing at the edge makes it increasingly difficult for infrastructure providers to plan for and provision resources to meet this demand. While simulation frameworks are used extensively in the modelling of cloud computing environments in order to test and validate technical solutions, they are at a nascent stage of development and adoption for fog and edge computing. This paper provides an overview of challenges posed by fog and edge computing in relation to simulation.

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Section: Fog and Edge Modelling And Simulation Toolsmentioning

confidence: 99%

Simulating Fog and Edge Computing Scenarios: An Overview and Research Challenges

et al. 2019

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“…Recently, our research group has started to investigate the state-of-the-art related to cloud, IoT and fog simulation tools in [16]. Within this study, several simulation tools were classified, compared, and analyzed, such as the DockerSim tool [17], FogNetSim++ [18], and EdgeCloudSim [19]. Furthermore, technical details, advantages, vulnerabilities, and software quality issues were also discussed.…”

Section: Fc Simulation Toolsmentioning

confidence: 99%

FoBSim: An extensible open-source simulation tool for integrated Fog-Blockchain systems

Baniata¹,

Kertész²

2020

Preprint

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A lot of hard work and years of research are still needed for developing successful Blockchain (BC) applications. Although it is not yet standardized, BC technology was proven as to be an enhancement factor for security, decentralization, and reliability, leading to be successfully implemented in cryptocurrency industries. Fog computing (FC) is one of the recently emerged paradigms that needs to be improved to serve Internet of Things (IoT) environments of the future. As hundreds of projects, ideas, and systems were proposed, one can find a great R\&D potential for integrating BC and FC technologies. Examples of organizations contributing to the R\&D of these two technologies, and their integration, include Linux, IBM, Google, Microsoft, and others. To validate an integrated Fog-Blockchain protocol or method implementation, before the deployment phase, a suitable and accurate simulation environment is needed. Such validation should save a great deal of costs and efforts on researchers and companies adopting this integration. Current available simulation environments facilitate Fog simulation, or BC simulation, but not both. In this paper, we introduce a Fog-Blockchain simulator, namely FoBSim, with the main goal is to ease the experimentation and validation of integrated Fog-Blockchain approaches. According to our proposed workflow of simulation, we implement different Consensus Algorithms (CA), different deployment options of the BC in the FC architecture, and different functionalities of the BC in the simulation. Furthermore, technical details and algorithms on the simulated integration are provided. We validate FoBSim by describing the technologies used within FoBSim, highlighting FoBSim novelty compared to the state-of-the-art, discussing the event validity in FoBSim, and providing a clear walk-through validation. Finally, we simulate two case studies, then present and analyze the obtained results.

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“…By focusing on simulation of the network characteristics of distributed edge computing devices, the FogNetSim++ [27] simulator aims to simulate a large network of devices. This simulator is based on the well-known OMNET++ [28] network simulator, which includes extensive network libraries and supports many network protocols.…”

Section: Supported Qualities By Edge Computing Simulatorsmentioning

confidence: 99%

Edge Computing Simulators for IoT System Design: An Analysis of Qualities and Metrics

et al. 2019

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The deployment of Internet of Things (IoT) applications is complex since many quality characteristics should be taken into account, for example, performance, reliability, and security. In this study, we investigate to what extent the current edge computing simulators support the analysis of qualities that are relevant to IoT architects who are designing an IoT system. We first identify the quality characteristics and metrics that can be evaluated through simulation. Then, we study the available simulators in order to assess which of the identified qualities they support. The results show that while several simulation tools for edge computing have been proposed, they focus on a few qualities, such as time behavior and resource utilization. Most of the identified qualities are not considered and we suggest future directions for further investigation to provide appropriate support for IoT architects.

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FogNetSim++: A Toolkit for Modeling and Simulation of Distributed Fog Environment

Cited by 144 publications

References 35 publications

Simulating Fog and Edge Computing Scenarios: An Overview and Research Challenges

Simulating Fog and Edge Computing Scenarios: An Overview and Research Challenges

FoBSim: An extensible open-source simulation tool for integrated Fog-Blockchain systems

Edge Computing Simulators for IoT System Design: An Analysis of Qualities and Metrics

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