Fog computing: A taxonomy, systematic review, current trends and research challenges

Fog computing and its role in the internet of things

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Fog and IoT: An Overview of Research Opportunities

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iFogSim: A toolkit for modeling and simulation of resource management techniques in the internet of things, edge and fog computing environments

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

Yousefpour, A., Fung, C., Nguyen, T., Kadiyala, K., Jalali, F., Niakanlahiji, A., Kong, J., & Jue, J. P. (2019) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2019.02.009 · Cited by 1,368

A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges

Mouradian, C., Naboulsi, D., Yangui, S., Glitho, R. H., Morrow, M. J., & Polakos, P. A. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2771153 · Cited by 1,022

Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures

Hou, X., Li, Y., Chen, M., Wu, D., Jin, D., & Chen, S. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2532863 · Cited by 943

Fog Computing: A Taxonomy, Survey and Future Directions

Mahmud, R., Ramamohanarao, K., & Buyya, R. (2017) · Internet of things · doi:10.1007/978-981-10-5861-5_5 · Cited by 935

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

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Survey on fog computing: architecture, key technologies, applications and open issues

Hu, P., Dhelim, S., Ning, H., & Qiu, T. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.09.002 · Cited by 880

The dawning of the autonomic computing era

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Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices

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Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges

Mukherjee, M., Shu, L., & Wang, D. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2814571 · Cited by 685

Healthfog: an ensemble deep learning based smart healthcare system for automatic diagnosis of heart diseases in integrated iot and fog computing environments

Tuli, S., Basumatary, N., Gill, S. S., Kahani, M., Arya, R. C., Wander, G. S., & Buyya, R. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2019.10.043 · Cited by 669

Assessment of the Suitability of Fog Computing in the Context of Internet of Things

Sarkar, S., Chatterjee, S., & Misra, S. (2018) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2015.2485206 · Cited by 638

Internet of Things applications: A systematic review

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Quantum computing: A taxonomy, systematic review and future directions

Gill, S. S., Kumar, A., Singh, H., Singh, M., Kaur, K., Usman, M., & Buyya, R. (2021) · Software Practice and Experience · doi:10.1002/spe.3039 · Cited by 579

Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions

Naha, R. K., Garg, S., Georgakopoulos, D., Jayaraman, P. P., Gao, L., Xiang, Y., & Ranjan, R. K. (2018) · IEEE Access · doi:10.1109/access.2018.2866491 · Cited by 567

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges

Gill, S. S., Tuli, S., Xu, M., Singh, I., Singh, K. V., Lindsay, D., Tuli, S., Smirnova, D., Singh, M., Jain, U., et al. (2019) · Internet of Things · doi:10.1016/j.iot.2019.100118 · Cited by 544

Sustainable Computing: Informatics and Systems

Li, K. (2012) · Cited by 485

Fog Computing for Sustainable Smart Cities: A Survey

Perera, C., Qin, Y., Estrella, J. C., Reiff-Marganiec, S., & Vasilakos, A. V. (2018) · ACM Computing Surveys · doi:10.1145/3057266 · Cited by 459

Customization design method for complex product systems based on a meta-model

Li, R., Zhang, H., Qin, S., Ding, G., & Han, X. (2019) · Advances in Mechanical Engineering · doi:10.1177/1687814019882207 · Cited by 435

A survey of communication protocols for internet of things and related challenges of fog and cloud computing integration

Dizdarević, J., Carpio, F., Jukan, A., & Masip Bruin, X. (2019) · RECERCAT (Consorci de Serveis Universitaris de Catalunya) · Cited by 433

A Survey of Communication Protocols for Internet of Things and Related Challenges of Fog and Cloud Computing Integration

Dizdarević, J., Carpio, F., Jukan, A., & Masip-Bruin, X. (2019) · ACM Computing Surveys · doi:10.1145/3292674 · Cited by 423

FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing

Tuli, S., Mahmud, R., Tuli, S., & Buyya, R. (2019) · Journal of Systems and Software · doi:10.1016/j.jss.2019.04.050 · Cited by 392

From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework

Osanaiye, O. A., Chen, S., Yan, Z., Lu, R., Choo, K. R., & Dlodlo, M. E. (2017) · IEEE Access · doi:10.1109/access.2017.2692960 · Cited by 320

Quality of Experience (QoE)-aware placement of applications in Fog computing environments

Mahmud, R., Srirama, S. N., Ramamohanarao, K., & Buyya, R. (2018) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2018.03.004 · Cited by 313

IEEE International Conference on Communications

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A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing

Wu, D., Liu, S., Zhang, L., Terpenny, J. P., Gao, R. X., Kurfess, T. R., & Guzzo, J. A. (2017) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2017.02.011 · Cited by 289

Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research

Aslanpour, M. S., Gill, S. S., & Toosi, A. N. (2020) · Internet of Things · doi:10.1016/j.iot.2020.100273 · Cited by 289

Latency-Aware Application Module Management for Fog Computing Environments

Mahmud, R., Ramamohanarao, K., & Buyya, R. (2018) · ACM Transactions on Internet Technology · doi:10.1145/3186592 · Cited by 256

Serverless Edge Computing: Vision and Challenges

Aslanpour, M. S., Toosi, A. N., Cicconetti, C., Javadi, B., Sbarski, P., Taibi, D., Assuncao, M., Gill, S. S., Gaire, R., & Dustdar, S. (2021) · 2021 Australasian Computer Science Week Multiconference · doi:10.1145/3437378.3444367 · Cited by 236

Fog Computing: A Comprehensive Architectural Survey

Habibi, P., Farhoudi, M., Kazemian, S., Khorsandi, S., & Leon‐Garcia, A. (2020) · IEEE Access · doi:10.1109/access.2020.2983253 · Cited by 233

Systematic review in software engineering

Kitchenham, B. A. (2012) · International Workshop on Evidential Assessment of Software Technologies (EAST) · doi:10.1145/2372233.2372235 · Cited by 231

IoT and Fog-Computing-Based Predictive Maintenance Model for Effective Asset Management in Industry 4.0 Using Machine Learning

Teoh, Y. K., Gill, S. S., & Parlikad, A. K. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3050441 · Cited by 231

FogFlow: Easy Programming of IoT Services Over Cloud and Edges for Smart Cities

Cheng, B., Solmaz, G., Cirillo, F., Kovacs, E., Terasawa, K., & Kitazawa, A. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2747214 · Cited by 226

Policy-driven security management for fog computing: Preliminary framework and a case study

D'Souza, C., Ahn, G., & Taguinod, M. (2014) · IEEE International Conference on Information Reuse and Integration (IRI) · doi:10.1109/iri.2014.7051866 · Cited by 223

Health fog: a novel framework for health and wellness applications

Ahmad, M., Amin, M. B., Hussain, S., Kang, B. H., Cheong, T., & Lee, S. (2016) · The Journal of Supercomputing · doi:10.1007/s11227-016-1634-x · Cited by 219

A Framework of Fog Computing: Architecture, Challenges, and Optimization

Liu, Y., Fieldsend, J. E., & Min, G. (2017) · IEEE Access · doi:10.1109/access.2017.2766923 · Cited by 218

Security and Privacy Preservation Scheme of Face Identification and Resolution Framework Using Fog Computing in Internet of Things

Hu, P.-F., Ning, H., Qiu, T., Song, H., Wang, Y., & Yao, X. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2659783 · Cited by 216

DPTO: A Deadline and Priority-Aware Task Offloading in Fog Computing Framework Leveraging Multilevel Feedback Queueing

Adhikari, M., Mukherjee, M., & Srirama, S. N. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2946426 · Cited by 214

Edge Intelligence: Architectures, Challenges, and ApplicationsPreprint

Xu, D., Li, T., Li, Y., Su, X., Tarkoma, S., Jiang, T., Crowcroft, J., & Hui, P. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.12172 · Cited by 204

Application Management in Fog Computing Environments

Mahmud, R., Ramamohanarao, K., & Buyya, R. (2020) · ACM Computing Surveys · doi:10.1145/3403955 · Cited by 203

FOGPLAN: A Lightweight QoS-Aware Dynamic Fog Service Provisioning Framework

Yousefpour, A., Patil, A., Ishigaki, G., Kim, I., Wang, X., Cankaya, H. C., Zhang, Q., Xie, W., & Jue, J. P. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2896311 · Cited by 196

Fog Computing: An Overview of Big IoT Data Analytics

Anwar, M. R., Wang, S., Zia, M. A., Jadoon, A. K., Akram, U., & Raza, S. (2018) · Wireless Communications and Mobile Computing · doi:10.1155/2018/7157192 · Cited by 189

Computational Intelligence Based QoS-Aware Web Service Composition: A Systematic Literature Review

Jatoth, C., Gangadharan, G. R., & Buyya, R. (2015) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2015.2473840 · Cited by 188

Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing

Sookhak, M., Yu, F. R., He, Y., Talebian, H., Safa, N. S., Zhao, N., Khan, M. K., & Kumar, N. (2017) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2017.2667499 · Cited by 187

How to place your apps in the fog: State of the art and open challenges

Antonio Brogi, A., Forti, S., Guerrero, C., & Lera, I. (2019) · Software Practice and Experience · doi:10.1002/spe.2766 · Cited by 173

Exploring Mobile Edge Computing for 5G-Enabled Software Defined Vehicular Networks

Huang, X., Yu, R., Kang, J., He, Y., & Zhang, Y. (2017) · IEEE Wireless Communications · doi:10.1109/mwc.2017.1600387 · Cited by 169

Software Defined Machine-to-Machine Communication for Smart Energy Management

Zhou, Z., Gong, J., He, Y., & Zhang, K. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700169 · Cited by 167

Router: fog enabled cloud based intelligent resource management approach for smart home iot devices

Gill, S. S., Garraghan, P., & Buyya, R. (2019) · Journal of Systems and Software · doi:10.1016/j.jss.2019.04.058 · Cited by 165

IoTSim‐Edge: A simulation framework for modeling the behavior of Internet of Things and edge computing environments

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Proceedings of 24th Annual International Conference on Computer Science and Software Engineering

Ng, J., & Association for Computing Machinery-Digital Library (2014) · Cited by 160

A blockchain-based fog computing framework for activity recognition as an application to e-healthcare services

Islam, N., Faheem, Y., Din, I. U., Talha, M., Guizani, M., & Khalil, M. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.05.059 · Cited by 154

A new energy-aware tasks scheduling approach in fog computing using hybrid meta-heuristic algorithm

Hosseinioun, P., Kheirabadi, M., Tabbakh, S. R. K., & Ghaemi, R. (2020) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2020.04.008 · Cited by 152

Comprehensive and systematic review of the service composition mechanisms in the cloud environments

Vakili, A., & Navimipour, N. J. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.01.005 · Cited by 150

Machine learning based fog computing assisted data-driven approach for early lameness detection in dairy cattle

Taneja, M., Byabazaire, J., Jalodia, N., Davy, A., Olariu, C., & Malone, P. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105286 · Cited by 149

Fog Computing Applications in Smart Cities: A Systematic Survey

Javadzadeh, G., & Rahmani, A. M. (2019) · Wireless Networks · doi:10.1007/s11276-019-02208-y · Cited by 138

5G next generation VANETs using SDN and fog computing framework

Khan, A. A., Abolhasan, M., & Ni, W. (2018) · IEEE Consumer Communications & Networking Conference (CCNC) · doi:10.1109/ccnc.2018.8319192 · Cited by 136

IoT Based Agriculture as a Cloud and Big Data Service: The Beginning of Digital India

Gill, S. S., Chana, I., & Buyya, R. (2017) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2017100101 · Cited by 125

A Hierarchical Game Framework for Resource Management in Fog Computing

Zhang, H., Zhang, Y., Gu, Y., Niyato, D. T., & Han, Z. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600896 · Cited by 119

An overview of cloud‐fog computing: Architectures, applications with security challenges

Kunal, S., Saha, A., & Amin, R. (2019) · Security and Privacy · doi:10.1002/spy2.72 · Cited by 115

Next generation technologies for smart healthcare: challenges, vision, model, trends and future directions

Tuli, S., Tuli, S., Wander, G., Wander, P., Gill, S. S., Dustdar, S., Sakellariou, R., & Rana, O. (2020) · Internet Technology Letters · doi:10.1002/itl2.145 · Cited by 114

SAFE: SDN-Assisted Framework for Edge–Cloud Interplay in Secure Healthcare Ecosystem

Aujla, G. S., Chaudhary, R., Kaur, K., Garg, S., Kumar, N., & Ranjan, R. K. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2866917 · Cited by 111

A Fog-Based Healthcare Framework for Chikungunya

Sood, S. K., & Mahajan, I. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2768407 · Cited by 110

Smart fog: Fog computing framework for unsupervised clustering analytics in wearable Internet of Things

Borthakur, D., Dubey, H., Constant, N. P., Mahler, L. A., & Mankodiya, K. (2017) · IEEE Global Conference on Signal and Information Processing · doi:10.1109/globalsip.2017.8308687 · Cited by 110

A Matching Theory Framework for Tasks Offloading in Fog Computing for IoT Systems

Chiti, F., Fantacci, R., & Picano, B. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2871251 · Cited by 110

SmartHerd management: A microservices‐based fog computing–assisted IoT platform towards data‐driven smart dairy farming

Taneja, M., Jalodia, N., Byabazaire, J., Davy, A., & Olariu, C. (2019) · Software Practice and Experience · doi:10.1002/spe.2704 · Cited by 110

Software-based Prediction of Liver Disease with Feature Selection and Classification Techniques

Singh, J., Bagga, S., & Kaur, R. (2020) · Procedia Computer Science · doi:10.1016/j.procs.2020.03.226 · Cited by 110

Resource provisioning for IoT services in the fog computing environment: An autonomic approach

Etemadi, M., Ghobaei‐Arani, M., & Shahidinejad, A. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.07.028 · Cited by 109

A Creative IoT agriculture platform for cloud fog computing

Hsu, T.-C., Yang, H., Chung, Y., & Hsu, C. (2018) · Sustainable Computing Informatics and Systems · doi:10.1016/j.suscom.2018.10.006 · Cited by 107

COMITMENT: A Fog Computing Trust Management Approach

Al-Khafajiy, M., Baker, T., Asim, M., Guo, Z., Ranjan, R. K., Longo, A., Puthal, D., & Taylor, M. J. (2019) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2019.10.006 · Cited by 106

Metaheuristics for scheduling of heterogeneous tasks in cloud computing environments: analysis, performance evaluation, and future directions

Singh, H., Tyagi, S., Kumar, P., Gill, S. S., & Buyya, R. (2021) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2021.102353 · Cited by 104

Edge and Fog Computing Enabled AI for IoT-An Overview

Zou, Z., Jin, Y., Nevalainen, P., Huan, Y., Heikkonen, J., & Westerlund, T. (2019) · IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) · doi:10.1109/aicas.2019.8771621 · Cited by 103

Intelligent workload allocation in IoT–Fog–cloud architecture towards mobile edge computing

Abbasi, M., Mohammadi-Pasand, E., & Khosravi, M. R. (2021) · Computer Communications · doi:10.1016/j.comcom.2021.01.022 · Cited by 101

Foggy: A Framework for Continuous Automated IoT Application Deployment in Fog Computing

Yigitoglu, E., Mohamed, M., Liu, L., & Ludwig, H. (2017) · doi:10.1109/aims.2017.14 · Cited by 98

Components of fog computing in an industrial internet of things context

Gazis, V., Leonardi, A., Mathioudakis, K., Sasloglou, K., Kikiras, P. K., & Sudhaakar, R. S. (2015) · doi:10.1109/seconw.2015.7328144 · Cited by 91

Fog Computing for Sustainable Smart Cities: A Survey

Perera, C., Qin, Y., Estrella, J. C., Reiff‐Marganiec, S., & Vasilakos, A. V. (2017) · University of Huddersfield Repository (University of Huddersfield) · doi:10.48550/arxiv.1703.07079 · Cited by 91

Fog-based smart healthcare as a big data and cloud service for heart patients using iot

Gill, S. S., Arya, R. C., Wander, G. S., & Buyya, R. (2019) · Lecture Notes on Data Engineering and Communications Technologies · doi:10.1007/978-3-030-03146-6_161 · Cited by 89

A survey and taxonomy of simulation environments modelling fog computing

Márkus, A., & Kertész, A. (2019) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2019.102042 · Cited by 89

Virtual Fog: A Virtualization Enabled Fog Computing Framework for Internet of Things

Li, J., Jin, J., Yuan, D., & Zhang, H. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2774286 · Cited by 83

GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis

Barik, R. K., Dubey, H., Mankodiya, K., Sasane, S. A., & Misra, C. (2018) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-018-0702-x · Cited by 80

A Market-Based Framework for Multi-Resource Allocation in Fog Computing

Nguyen, D. T., Le, L. B., & Bhargava, V. K. (2019) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2019.2912077 · Cited by 78

An online secretary framework for fog network formation with minimal latency

Lee, G., Saad, W., & Bennis, M. (2017) · International Conference on Communications · doi:10.1109/icc.2017.7996574 · Cited by 78

Secure Data Query Framework for Cloud and Fog Computing

Gu, K., Wu, N., Yin, B., & Jia, W. (2019) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2019.2941869 · Cited by 77

Routing in Fog-Enabled IoT Platforms: A Survey and an SDN-Based Solution

Okay, F. Y., & Özdemi̇r, S. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2882781 · Cited by 75

Dynamic fog-to-fog offloading in SDN-based fog computing systems

Phan, L.-A., Nguyen, D.-T., Lee, M., Park, D., & Kim, T. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2020.12.021 · Cited by 73

Analysis of an Offloading Scheme for Data Centers in the Framework of Fog Computing

Fricker, C., Guillemin, F. M., Robert, P., & Thompson, G. (2016) · ACM Transactions on Modeling and Performance Evaluation of Computing Systems · doi:10.1145/2950047 · Cited by 72

Distributed Deep Neural Networks over the Cloud, the Edge and End DevicesPreprint

Teerapittayanon, S., McDanel, B., & Kung, H. T. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1709.01921 · Cited by 71

A Fog Computing-based IoT Framework for Precision Agriculture

Guardo, E., Stefano, A. D., Corte, A. L., Sapienza, M., & Scatà, M. (2018) · Teesside University Research Portal (Teesside University) · doi:10.3966/160792642018091905012 · Cited by 71

Characterizing application scheduling on edge, fog, and cloud computing resources

Varshney, P., & Simmhan, Y. L. (2019) · Software Practice and Experience · doi:10.1002/spe.2699 · Cited by 70

DeepBus: Machine learning based real time pothole detection system for smart transportation using IoT

Bansal, K., Mittal, K., Ahuja, G., Singh, A., & Gill, S. S. (2020) · Internet Technology Letters · doi:10.1002/itl2.156 · Cited by 70

aTask scheduling approaches in fog computing: A survey

Hosseinioun, P., Kheirabadi, M., Tabbakh, S. R. K., & Ghaemi, R. (2020) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3792 · Cited by 67

Quantum and blockchain based Serverless edge computing: A vision, model, new trends and future directions

Gill, S. S. (2021) · Internet Technology Letters · doi:10.1002/itl2.275 · Cited by 67

AI-Enabled Reliable Channel Modeling Architecture for Fog Computing Vehicular Networks

Sodhro, A. H., Sodhro, G. H., Guizani, M., Pirbhulal, S., & Boukerche, A. (2020) · IEEE Wireless Communications · doi:10.1109/mwc.001.1900311 · Cited by 66

Modeling and Simulation Tools for Fog Computing—A Comprehensive Survey from a Cost Perspective

Margariti, S. V., Dimakopoulos, V. V., & Tsoumanis, G. (2020) · Future Internet · doi:10.3390/fi12050089 · Cited by 63

Building applications for smart and safe construction with the DECENTER Fog Computing and Brokerage Platform

Kochovski, P., & Stankovski, V. (2021) · Automation in Construction · doi:10.1016/j.autcon.2021.103562 · Cited by 63

Failure Management for Reliable Cloud Computing: A Taxonomy, Model, and Future Directions

Gill, S. S., & Buyya, R. (2018) · Computing in Science & Engineering · doi:10.1109/mcse.2018.2873866 · Cited by 62

SDN/NFV security framework for fog‐to‐things computing infrastructure

Krishnan, P., Duttagupta, S., & Achuthan, K. (2019) · Software Practice and Experience · doi:10.1002/spe.2761 · Cited by 61

Toward blockchain and fog computing collaborative design and manufacturing platform: Support customer view

Barenji, A. V., Guo, H., Wang, Y., Li, Z., & Rong, Y. K. (2020) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2020.102043 · Cited by 59

Biosec: a biometric authentication framework for secure and private communication among edge devices in iot and industry 4.0

Golec, M., Gill, S. S., Bahsoon, R., & Rana, O. (2022) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2020.3038040 · Cited by 58

A Survey of Communication Performance Models for High-Performance Computing

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ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments

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Pinto, M. F., Marcato, A. L. M., Melo, A. G., Honório, L. D. M., & Urdiales, C. (2019) · Wireless Communications and Mobile Computing · doi:10.1155/2019/7497924 · Cited by 54

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SDN based communications privacy-preserving architecture for VANETs using fog computing

Arif, M., Wang, G., Bălaş, V. E., Geman, O., Castiglione, A., & Chen, J. (2020) · Vehicular Communications · doi:10.1016/j.vehcom.2020.100265 · Cited by 46

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Ahmed, A., Arkian, H., Battulga, D., Fahs, A. J., Farhadi, M., Giouroukis, D., Gougeon, A., Gutierrez, F. O., Pierre, G., Souza, P. R. R. D., et al. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1907.11621 · Cited by 45

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IoT-Fog A Communication Framework using Blockchain in the Internet of ThingsPreprint

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Fog Computing Based Hybrid Deep Learning Framework in effective inspection system for smart manufacturing

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An intelligent and secure healthcare framework for the prediction and prevention of Dengue virus outbreak using fog computing

Pravin, A., Jacob, T. P., & Nagarajan, G. (2019) · Health and Technology · doi:10.1007/s12553-019-00308-5 · Cited by 40

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Pham, Q., Fang, F., Ha, V. N., et al. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1906.08452 · Cited by 40

Fog Computing for Healthcare 4.0 Environments

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Al-Khafajiy, M., Baker, T., Al-Libawy, H. A., Waraich, A., Chalmers, C., & Alfandi, O. (2018) · International Conference on Developments in eSystems Engineering (DeSE) · doi:10.1109/dese.2018.00017 · Cited by 39

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IoT-Fog: A Communication Framework using Blockchain in the Internet of ThingsPreprint

Alam, T. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3638991 · Cited by 39

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Tractor: traffic-aware and power-efficient virtual machine placement in edge-cloud data centers using artificial bee colony optimization

Nabavi, S. S., Gill, S. S., Xu, M., Masdari, M., & Garraghan, P. (2022) · International Journal of Communication Systems · doi:10.1002/dac.4747 · Cited by 35

DDoS attack defense framework for cloud using fog computing

Deepali, D., & Bhushan, K. (2017) · IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology · doi:10.1109/rteict.2017.8256654 · Cited by 33

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Iotpulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using iot and fog computing

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Fog‐SDN: A light mitigation scheme for DDoS attack in fog computing framework

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Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency

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Javaid, S., Javaid, N., Saba, T., Wadud, Z., Rehman, A. U., & Haseeb, A. (2019) · Energies · doi:10.3390/en12050815 · Cited by 26

Secure Computing Resource Allocation Framework For Open Fog Computing

Jiang, J., Tang, L., Gu, K., & Jia, W. (2019) · The Computer Journal · doi:10.1093/comjnl/bxz108 · Cited by 26

Advances in Decision Sciences, Image Processing, Security and Computer Vision

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Integration of Measurements and Time Diaries as Complementary Measures to Improve Resolution of BES

Carlander, J., Trygg, K., & Moshfegh, B. (2019) · Energies · doi:10.3390/en12112072 · Cited by 25

Dependable Fog Computing: A Systematic Literature Review

Bakhshi, Z., Rodríguez-Navas, G., & Hansson, H. (2019) · Euromicro Conference on Software Engineering and Advanced Applications (SEAA) · doi:10.1109/seaa.2019.00066 · Cited by 25

A Low-Latency and Massive-Connectivity Vehicular Fog Computing Framework for 5G

Xu, C. G., Wang, Y., Zhou, Z., Gu, B., Frascolla, V., & Mumtaz, S. (2018) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/glocomw.2018.8644428 · Cited by 24

Security Enhancement on a Lightweight Authentication Scheme With Anonymity Fog Computing Architecture

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ithermofog: iot-fog based automatic thermal profile creation for cloud data centers using artificial intelligence techniques

Tuli, S., Gill, S. S., Casale, G., & Jennings, N. R. (2020) · Internet Technology Letters · doi:10.1002/itl2.198 · Cited by 23

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Jeong, T., Chung, J., Hong, J. W., & Ha, S. (2017) · IEEE Fog World Congress (FWC) · doi:10.1109/fwc.2017.8368528 · Cited by 22

Fog computing framework for location-based energy management in smart buildings

Maatoug, A., Belalem, G., & Mahmoudi, S. (2019) · Multiagent and Grid Systems · doi:10.3233/mgs-190301 · Cited by 22

Energy efficient IoT-Fog based architectural paradigm for prevention of Dengue fever infection

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An IPv6-based framework for fog-assisted healthcare monitoring

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Real-time monitoring and operation of microgrid using distributed cloud–fog architecture

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Lu, S., Wu, J., Duan, Y., Wang, N., & Fang, J. (2020) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2020.08.002 · Cited by 18

A Privacy-Preserving Framework for Collaborative Intrusion Detection Networks Through Fog Computing

Wang, Y., Xie, L., Li, W., Meng, W., & Li, J. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-69471-9_20 · Cited by 17

Fog-based architecture for scheduling multiple workflows with high availability requirement

Davami, F., Adabi, S., Rezaee, A., & Rahmani, A. M. (2021) · Computing · doi:10.1007/s00607-021-00905-1 · Cited by 17

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SNA based QoS and reliability in fog and cloud framework

Sood, S. K. (2018) · World Wide Web · doi:10.1007/s11280-018-0525-x · Cited by 14

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A Fog Computing Framework for Autonomous Driving Assist: Architecture, Experiments, and ChallengesPreprint

Maheswaran, M., Yang, T., & Memon, S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1907.09454 · Cited by 14

Fog Computing Architectures and Frameworks for Healthcare 4.0

Nair, A. R., & Tanwar, S. (2020) · Signals and communication technology · doi:10.1007/978-3-030-46197-3_3 · Cited by 14

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Data Gathering Framework Based on Fog Computing Paradigm in VANETs

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Fog Computing Framework for Smart City Design

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Deep Reinforcement Learning for Intelligent Migration of Fog Services in Smart Cities

Lan, D., Taherkordi, A., Eliassen, F., Chen, Z., & Liu, L. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-60239-0_16 · Cited by 13

Monocular Depth Estimation Based on Multi-Scale Graph Convolution Networks

Fu, J., Liang, J. S., & Wang, Z. (2019) · IEEE Access · doi:10.1109/access.2019.2961606 · Cited by 12

A framework for visual fog computing

Yang, S., Tickoo, O., & Chen, Y.-K. (2017) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2017.8050297 · Cited by 11

Towards a Framework for Data Stream Processing in the Fog

Hießl, T., Hochreiner, C., & Schulte, S. (2019) · Informatik-Spektrum · doi:10.1007/s00287-019-01192-z · Cited by 11

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MiFo: A novel edge network integration framework for fog computing

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Fog Computing Qos Review and Open Challenges

Babu, R., Jayashree, K., & Abirami, R. (2018) · International Journal of Fog Computing · doi:10.4018/ijfc.2018070104 · Cited by 10

E2R‐F2N: Energy‐efficient retailing using a femtolet‐based fog network

Mukherjee, A., De, D., & Buyya, R. (2018) · Software Practice and Experience · doi:10.1002/spe.2673 · Cited by 10

Modeling and Simulation of Distributed Fog Environment Using FogNetSim ++

Qayyum, T., Malik, A. W., Khan, M. A., & Khan, S. U. (2020) · doi:10.1002/9781119551713.ch11 · Cited by 10

FIoT: A QoS-Aware Fog-IoT Framework to Minimize Latency in IoT Applications via Fog Offloading

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An Online Secretary Framework for Fog Network Formation with Minimal LatencyPreprint

Lee, G., Saad, W., & Bennis, M. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1702.05569 · Cited by 9

Fog Computing based SDI Framework for Mineral Resources Information Infrastructure Management in IndiaPreprint

Barik, R. K., Lenka, R. K., Simha, N. V. R., et al. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1712.09282 · Cited by 9

Towards Bandwidth Optimization in Fog Computing using FACE Framework

Marquesone, R. D. F. P., da Silva, É. A., Gonzalez, N. M., Langona, K., Goya, W. A., Redígolo, F., Carvalho, T. C. M. D. B., Mångs, J.-E., & Sefidcon, A. (2017) · International Conference on Cloud Computing and Services Science · doi:10.5220/0006303804910498 · Cited by 8

Deployment of Fog Computing During Hajj Season: A Proposed Framework

Alraddady, S., Li, A., Soh, B., & AlZain, M. A. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.11.218 · Cited by 8

Centralized Framework for Workload Distribution in Fog Computing

Baneriee, A., Chishti, M. S., Rahman, A., & Chanazain, R. (2018) · IEEE International Conference for Convergence in Technology (I2CT) · doi:10.1109/i2ct.2018.8529568 · Cited by 7

PrEstoCloud

Verginadis, Y., Apostolou, D., Taherizadeh, S., Ledakis, G., Mentzas, G. N., Τσαγκαρόπουλος, Α., Papageorgiou, N., & Paraskevopoulos, F. (2021) · Information Resources Management Journal · doi:10.4018/irmj.2021010104 · Cited by 7

Evolution in Computational Intelligence

Bhateja, V., Patel, P., & Khattri, V. (2022) · Smart innovation, systems and technologies · doi:10.1007/978-3-032-18849-6 · Cited by 7

Sustainable Smart Cities: A Fog Computing Framework for a Smart Urban Transport Network

Neagu, I.-M. (2018) · Studia Universitatis „Vasile Goldis” Arad – Economics Series · doi:10.2478/sues-2018-0021 · Cited by 6

Resource Provisioning Framework for IoT Applications in Fog Computing Environment

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AI for next generation computing: Emerging trends and future directions

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AI-based fog and edge computing: A systematic review, taxonomy and future directions

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A Comprehensive Survey on Fog Computing: Architectures, Techniques, Challenges, and Future Directions

Chaturvedi, P., Ahmad, S., & Mewada, A. (2026) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-026-10579-7 · Cited by 6

The Study of Fog Computing: Security and Privacy, Energy Consumption, Quality of Experience/Services, Offloading, and Task Scheduling

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Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions

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