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Simulating Fog and Edge Computing Scenarios: An Overview and Research Challenges
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119525080.ch5openalex-snapshot
Optimization Problems in Fog and Edge Computing
inferredcites →https://doi.org/10.1002/spe.2509openalex-snapshot
iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments
inferredcites →https://doi.org/10.1002/spe.995openalex-snapshot
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
inferredcites →https://doi.org/10.1007/978-3-319-05029-4_7openalex-snapshot
Fog Computing: A Platform for Internet of Things and Analytics
inferredcites →https://doi.org/10.1007/978-3-319-07674-4_51openalex-snapshot
A Survey of Petri Net Tools
inferredcites →https://doi.org/10.1007/978-3-319-13153-5_32openalex-snapshot
Ubiquitous Shift with Information Centric Network Caching Using Fog Computing
inferredcites →https://doi.org/10.1007/978-3-319-99061-3_4openalex-snapshot
Taxonomy of Edge Computing: Challenges, Opportunities, and Data Reduction Methods
inferredcites →https://doi.org/10.1007/978-981-10-5861-5_5openalex-snapshot
Fog Computing: A Taxonomy, Survey and Future Directions
inferredcites →https://doi.org/10.1007/s00291-013-0358-zopenalex-snapshot
The dynamic replica placement problem with service levels in content delivery networks: a model and a simulated annealing heuristic
inferredcites →https://doi.org/10.1007/s10723-016-9387-6openalex-snapshot
A Two-Phase Energy-Aware Scheduling Approach for CPU-Intensive Jobs in Mobile Grids
inferredcites →https://doi.org/10.1007/s11227-017-2143-2openalex-snapshot
Large-scale simulation of a self-organizing self-management cloud computing framework
inferredcites →https://doi.org/10.1016/j.future.2017.06.017openalex-snapshot
A framework for simulating large scale cloud infrastructures
inferredcites →https://doi.org/10.1016/j.ins.2014.04.018openalex-snapshot
Exploiting composition of mobile devices for maximizing user QoS under energy constraints in mobile grid
inferredcites →https://doi.org/10.1016/j.jnca.2018.04.018openalex-snapshot
Mobile cloud computing: Challenges and future research directions
inferredcites →https://doi.org/10.1016/j.jss.2016.06.011openalex-snapshot
Issues in complex event processing: Status and prospects in the Big Data era
inferredcites →https://doi.org/10.1016/j.simpat.2019.01.001openalex-snapshot
Simulating large vCDN networks: A parallel approach
inferredcites →https://doi.org/10.1016/j.sysarc.2016.06.008openalex-snapshot
IOTSim: A simulator for analysing IoT applications
inferredcites →https://doi.org/10.1108/ijopm-10-2016-0604openalex-snapshot
Modelling people’s behaviour using discrete-event simulation: a review
inferredcites →https://doi.org/10.1109/access.2015.2509638openalex-snapshot
Architecture Harmonization Between Cloud Radio Access Networks and Fog Networks
inferredcites →https://doi.org/10.1109/access.2017.2682640openalex-snapshot
Live Data Analytics With Collaborative Edge and Cloud Processing in Wireless IoT Networks
inferredcites →https://doi.org/10.1109/access.2017.2685434openalex-snapshot
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
inferredcites →https://doi.org/10.1109/access.2018.2877696openalex-snapshot
FogNetSim++: A Toolkit for Modeling and Simulation of Distributed Fog Environment
inferredcites →https://doi.org/10.1109/bigdata.2015.7363758openalex-snapshot
Elastic complex event processing exploiting prediction
inferredcites →https://doi.org/10.1109/cfec.2018.8358724openalex-snapshot
An Extension to iFogSim to Enable the Design of Data Placement Strategies
inferredcites →https://doi.org/10.1109/colcomcon.2014.6860404openalex-snapshot
Using Mininet for emulation and prototyping Software-Defined Networks
inferredcites →https://doi.org/10.1109/eucnc.2017.7980667openalex-snapshot
Reliable capacity provisioning for distributed cloud/edge/fog computing applications
inferredcites →https://doi.org/10.1109/fwc.2017.8368525openalex-snapshot
EmuFog: Extensible and scalable emulation of large-scale fog computing infrastructures
inferredcites →https://doi.org/10.1109/hpcsim.2009.5192685openalex-snapshot
Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities
inferredcites →https://doi.org/10.1109/icc.2018.8423003openalex-snapshot
Fogbed: A Rapid-Prototyping Emulation Environment for Fog Computing
inferredcites →https://doi.org/10.1109/icfec.2017.8openalex-snapshot
How to Best Deploy Your Fog Applications, Probably
inferredcites →https://doi.org/10.1109/jiot.2016.2579198openalex-snapshot
Edge Computing: Vision and Challenges
inferredcites →https://doi.org/10.1109/jiot.2016.2584538openalex-snapshot
Fog and IoT: An Overview of Research Opportunities
inferredcites →https://doi.org/10.1109/jiot.2017.2701408openalex-snapshot
QoS-Aware Deployment of IoT Applications Through the Fog
inferredcites →https://doi.org/10.1109/mascots.2014.70openalex-snapshot
Concurrent and Distributed CloudSim Simulations
inferredcites →https://doi.org/10.1109/mc.2016.245openalex-snapshot
Fog Computing: Helping the Internet of Things Realize Its Potential
inferredcites →https://doi.org/10.1109/mcc.2017.18openalex-snapshot
Modelling and Simulation Challenges in Internet of Things
inferredcites →https://doi.org/10.1109/mcom.2016.1600485cmopenalex-snapshot
Software Defined Networking, Caching, and Computing for Green Wireless Networks
inferredcites →https://doi.org/10.1109/mcom.2016.7565185openalex-snapshot
Big data caching for networking: moving from cloud to edge
inferredcites →https://doi.org/10.1109/mcom.2017.1600863openalex-snapshot
Collaborative Mobile Edge Computing in 5G Networks: New Paradigms, Scenarios, and Challenges
inferredcites →https://doi.org/10.1109/mcom.2017.1600893openalex-snapshot
5G Radio Access Network Design with the Fog Paradigm: Confluence of Communications and Computing
inferredcites →https://doi.org/10.1109/mcom.2017.1700328openalex-snapshot
Pseudo-Dynamic Testing of Realistic Edge-Fog Cloud Ecosystems
inferredcites →https://doi.org/10.1109/melcon.2016.7495388openalex-snapshot
5G and the Fog — Survey of related technologies and research directions
inferredcites →https://doi.org/10.1109/mic.2017.26openalex-snapshot
Challenges and Software Architecture for Fog Computing
inferredcites →https://doi.org/10.1109/mnet.2017.1600027nmopenalex-snapshot
An Integrated Architecture for Software Defined and Virtualized Radio Access Networks with Fog Computing
inferredcites →https://doi.org/10.1109/tcc.2016.2522439openalex-snapshot
Joint Energy Minimization and Resource Allocation in C-RAN with Mobile Cloud
inferredcites →https://doi.org/10.1109/tdsc.2007.70242openalex-snapshot
Dependability Evaluation with Dynamic Reliability Block Diagrams and Dynamic Fault Trees
inferredcites →https://doi.org/10.1109/tsc.2013.44openalex-snapshot
Stochastic Model Driven Capacity Planning for an Infrastructure-as-a-Service Cloud
inferredcites →https://doi.org/10.1109/wsc.2008.4736054openalex-snapshot
How to build valid and credible simulation models
inferredcites →https://doi.org/10.1109/wsc.2010.5679045openalex-snapshot
A comparison of the accuracy of discrete event and discrete time
inferredcites →https://doi.org/10.1109/wsc.2010.5679166openalex-snapshot
Verification and validation of simulation models
inferredcites →https://doi.org/10.1145/3184407.3184428openalex-snapshot
Rapid Testing of IaaS Resource Management Algorithms via Cloud Middleware Simulation
inferredcites →https://doi.org/10.1155/2018/7597686openalex-snapshot
Towards Distributed Data Management in Fog Computing
inferredcites →https://doi.org/10.13025/18707openalex-snapshot
Emerging trends in electricity consumption for consumer ICT
inferredcites →https://doi.org/10.14569/ijacsa.2018.090228openalex-snapshot
A New Task Scheduling Algorithm using Firefly and Simulated Annealing Algorithms in Cloud Computing
inferredcites →https://doi.org/10.4108/eai.24-8-2015.2261129openalex-snapshot
Towards Automated Data-Driven Model Creation for Cloud Computing Simulation
inferredcites →https://doi.org/10.4108/icst.simutools2008.3027openalex-snapshot
AN OVERVIEW OF THE OMNeT++ SIMULATION ENVIRONMENT
inferredcites →https://doi.org/10.5220/0006351805650573openalex-snapshot
A Preliminary Systematic Review of Computer Science Literature on Cloud Computing Research using Open Source Simulation Platforms
inferredcites →https://doi.org/10.5220/0006373000001535openalex-snapshot
A Review of Cloud Computing Simulation Platforms and Related Environments
inferredcites →https://doi.org/10.6028/nist.sp.500-325openalex-snapshot
Fog computing conceptual model
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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The Fog/Edge Computing: Challenges, Serious Concerns, and the Road Ahead
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Convergence Perceptual Model for Computing Time Series Data on Fog Environment
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Performance Evaluation of Hybrid Cloud-Fog Computing Architectures in Smart Home IoT Environments: A Comparative Simulation Study Across Multiple Tools
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Security Issues in Fog Environment: A Systematic Literature Review
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A Review on Beyond-5G (B5G)-Aware Networks: Sustainable Solutions, Opportunities, and Challenges in Cloud/Edge/Fog (CEF) Ecosystem
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A Case Study of Edge Computing Implementations: Multi-access Edge Computing, Fog Computing and Cloudlet
inferred← citeshttps://doi.org/10.20533/ijsed.2046.3707.2021.0050openalex-snapshot
Fog Computing Infrastructure Simulation Toolset Review for Energy Estimation, Planning and Scalability
inferred← citeshttps://doi.org/10.20944/preprints202309.1737.v1openalex-snapshot
Enhancement of the Fog Computing Efficiency: Healthcare as a Case Study
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4127989/v1openalex-snapshot
Energy-Efficient Architecture for Optimized IoT Data Transmission from Edge to Cloud
inferred← citeshttps://doi.org/10.21428/bf6fb269.9422c084openalex-snapshot
The Dark Side of Cloud and Edge Computing: An Exploratory Study
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PureEdgeSim: A simulation framework for performance evaluation of cloud, edge and mist computing environments
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Integrating an IoT Application Middleware with a Fog and Edge Computing Simulator
inferred← citeshttps://doi.org/10.2478/picbe-2023-0011openalex-snapshot
Internet of Things – one of the Digital Steps that Companies Should Consider towards Circular Economy and Sustainability An Exploratory Case Study Defined by the Sustainable Retrospective of one of the Top Global Retail Groups
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Towards Supporting IoT System Designers in Edge Computing Deployment Decisions
inferred← citeshttps://doi.org/10.31428/10317/10416openalex-snapshot
Smart IoT monitoring and real-time control based on autonomous robots, visual recognition and cloud/edge computing services
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Simulating Resource Management across the Cloud-to-Thing Continuum
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A Comprehensive Study of Resource Provisioning and Optimization in Edge Computing
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An Integrated Cloud-based Blockchain Model for Supply Chain Management
inferred← citeshttps://doi.org/10.3390/e23030341openalex-snapshot
A New Algorithm for Digital Image Encryption Based on Chaos Theory
inferred← citeshttps://doi.org/10.3390/electronics10162001openalex-snapshot
Challenges and Opportunities in Industry 4.0 for Mechatronics, Artificial Intelligence and Cybernetics
inferred← citeshttps://doi.org/10.3390/electronics11192976openalex-snapshot
Priority-Aware Resource Management for Adaptive Service Function Chaining in Real-Time Intelligent IoT Services
inferred← citeshttps://doi.org/10.3390/en14165129openalex-snapshot
Smart Agriculture Cloud Using AI Based Techniques
inferred← citeshttps://doi.org/10.3390/fi11070161openalex-snapshot
Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management
inferred← citeshttps://doi.org/10.3390/fi11110235openalex-snapshot
Edge Computing Simulators for IoT System Design: An Analysis of Qualities and Metrics
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Modeling and Simulation Tools for Fog Computing—A Comprehensive Survey from a Cost Perspective
inferred← citeshttps://doi.org/10.3390/fi12060095openalex-snapshot
Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions
inferred← citeshttps://doi.org/10.3390/fi13040083openalex-snapshot
Simulating and Evaluating a Real-World ElasticSearch System Using the RECAP DES Simulator
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A Novel Image Processing Approach to Enhancement and Compression of X-ray Images
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Smart Industrial IoT Monitoring and Control System Based on UAV and Cloud Computing Applied to a Concrete Plant
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Nanosystems, Edge Computing, and the Next Generation Computing Systems
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The Concept of a Quantum Edge Simulator: Edge Computing and Sensing in the Quantum Era
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Simulation Tools for Fog Computing: A Comparative Analysis
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A Survey on Reduction of Energy Consumption in Fog Networks—Communications and Computations
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Edge Offloading in Smart Grid
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A Method Towards Allocation of VM using a Cuckoo Search Algorithm
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A Comparative Performance Analysis of Fog-Based Smart Surveillance System
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Energy Efficient Big Data Processing
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THE ROLE OF ARTIFICIAL INTELLIGENCE IN FACILITATING THE TRANSITION TO A CIRCULAR ECONOMY
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PF-BVM: A Privacy-aware Fog-enhanced Blockchain Validation Mechanism
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Performance Evaluation of Fog Computing for Latency and Energy Efficiency in IoT Applications
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Methodologies for Reproducible Analysis of Workflows on the Edge-to-Cloud Continuum
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Peer Review #1 of "Actuator behaviour modelling in IoT-Fog-Cloud simulation (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.651v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Actuator behaviour modelling in IoT-Fog-Cloud simulation (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.651v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Actuator behaviour modelling in IoT-Fog-Cloud simulation (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.651v0.2/reviews/3openalex-snapshot
Peer Review #3 of "Actuator behaviour modelling in IoT-Fog-Cloud simulation (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.651v0.3/reviews/4openalex-snapshot
Peer Review #4 of "Actuator behaviour modelling in IoT-Fog-Cloud simulation (v0.3)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.651openalex-snapshot
Actuator behaviour modelling in IoT-Fog-Cloud simulation
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.