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

The NIST Definition of Cloud Computing

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Edge computing: Vision and challenges

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Fog computing and its role in the internet of things

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A Survey on Mobile Edge Computing: The Communication Perspective

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A break in the clouds

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Mobile Edge Computing: A Survey

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A survey of mobile cloud computing: architecture, applications, and approaches

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Fog and IoT: An Overview of Research Opportunities

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BOINC: A System for Public-Resource Computing and Storage

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On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

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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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Cloud RAN for Mobile Networks—A Technology Overview

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Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing

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The Broadcast Storm Problem in a Mobile Ad Hoc Network

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Cloud Computing: Issues and Challenges

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SETI@home: an experiment in public-resource computing

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Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network

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Finding your Way in the Fog: Towards a Comprehensive Definition of Fog Computing

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2018 IEEE International Conference on Communications (ICC)

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The Fog Computing Paradigm: Scenarios and Security Issues

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

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Fog Computing: Helping the Internet of Things Realize Its Potential

Dastjerdi, A. V., & Buyya, R. (2016) · Computer · doi:10.1109/mc.2016.245 · Cited by 994 · see citing works

Virtual Infrastructure Management in Private and Hybrid Clouds

Sotomayor, B., Montero, R. S., Llorente, I. M., & Foster, I. T. (2009) · IEEE Internet Computing · doi:10.1109/mic.2009.119 · Cited by 976 · see citing works

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 · see citing works

Edge-centric Computing: Vision and Challenges

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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 933 · see citing works

2015 IEEE International Conference on Communications (ICC)

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The challenges of mobile computing

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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 · see citing works

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

Teerapittayanon, S., McDanel, B., & Kung, H. T. (2017) · 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2017.226 · Cited by 843 · see citing works

Fog Computing: Platform and Applications

Yi, S., Hao, Z., Qin, Z., & Li, Q. (2015) · 2015 Third IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb) · doi:10.1109/hotweb.2015.22 · Cited by 829 · see citing works

Mobile Edge Computing via a UAV-Mounted Cloudlet: Optimization of Bit Allocation and Path Planning

Jeong, S., Simeone, O., & Kang, J. (2017) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2706308 · Cited by 822 · see citing works

Fog Computing for the Internet of Things: Security and Privacy Issues

Alrawais, A., Alhothaily, A., Hu, C., & Cheng, X. (2017) · IEEE Internet Computing · doi:10.1109/mic.2017.37 · Cited by 727 · see citing works

EdgeIoT: Mobile Edge Computing for the Internet of Things

Sun, X., & Ansari, N. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.1600492cm · Cited by 715 · see citing works

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 · see citing works

Optimal Workload Allocation in Fog-Cloud Computing Towards Balanced Delay and Power Consumption

Deng, R., Lu, R., Lai, C., Luan, T. H., & Liang, H. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2565516 · Cited by 679 · see citing works

Fundamental challenges in mobile computing

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Fog-computing-based radio access networks: issues and challenges

Peng, M., Yan, S., Zhang, K., & Wang, C. (2016) · IEEE Network · doi:10.1109/mnet.2016.7513863 · Cited by 661 · see citing works

Securing Fog Computing for Internet of Things Applications: Challenges and Solutions

Ni, J., Zhang, K., Lin, X., & Shen, X. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2762345 · Cited by 659 · cited 1× · see citing works

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 · see citing works

Heterogeneity in Mobile Cloud Computing: Taxonomy and Open Challenges

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INFOCOM, 2011 Proceedings IEEE

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A hierarchical edge cloud architecture for mobile computing

Liang, T., Li, Y., & Gao, W. (2016) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2016.7524340 · Cited by 533 · see citing works

Security and Privacy Issues of Fog Computing: A Survey

Yi, S., Qin, Z., & Li, Q. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-21837-3_67 · Cited by 529 · see citing works

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Real-Time Video Analytics: The Killer App for Edge Computing

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A Break in the Clouds: Towards a Cloud Definition

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Mobile fog: a programming model for large-scale applications on the internet of things

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QoS-Aware Deployment of IoT Applications Through the Fog

Brogi, A., & Forti, S. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2701408 · Cited by 481 · see citing works

A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT

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Optimal Cloudlet Placement and User to Cloudlet Allocation in Wireless Metropolitan Area Networks

Jia, M., Cao, J., & Liang, W. (2015) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2015.2449834 · Cited by 469 · see citing works

Fog Computing for Sustainable Smart Cities: A Survey

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EdgeCloudSim: An environment for performance evaluation of edge computing systems

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A virtual cloud computing provider for mobile devices

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DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics

Ran, X., Chen, H., Zhu, X., Liu, Z., & Chen, J. (2018) · IEEE INFOCOM 2018 - IEEE Conference on Computer Communications · doi:10.1109/infocom.2018.8485905 · Cited by 450 · see citing works

Fog Computing in Healthcare Internet of Things: A Case Study on ECG Feature Extraction

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2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks

Sun, Y., Zhou, S., & Xu, J. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2760160 · Cited by 438 · see citing works

Software defined networking-based vehicular Adhoc Network with Fog Computing

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Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System

Zeng, D., Gu, L., Guo, S., Cheng, Z., & Yu, S. (2016) · IEEE Transactions on Computers · doi:10.1109/tc.2016.2536019 · Cited by 426 · see citing works

How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions

Baktır, A. C., Özgövde, A., & Ersoy, C. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2717482 · Cited by 425 · see citing works

Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing

Ren, J., Guo, H., Xu, C., & Zhang, Y. (2017) · IEEE Network · doi:10.1109/mnet.2017.1700030 · Cited by 417 · see citing works

Fog Computing May Help to Save Energy in Cloud Computing

Jalali, F., Hinton, K., Ayre, R., Alpcan, T., & Tucker, R. S. (2016) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2016.2545559 · Cited by 408 · see citing works

Mobility-Aware Application Scheduling in Fog Computing

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Cost Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System

Gu, L., Zeng, D., Guo, S., Barnawi, A., & Xiang, Y. (2015) · IEEE Transactions on Emerging Topics in Computing · doi:10.1109/tetc.2015.2508382 · Cited by 398 · see citing works

Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing

Diro, A. A., & Chilamkurti, N. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700332 · Cited by 394 · see citing works

Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy

Li, E., Zhou, Z., & Chen, X. (2018) · Proceedings of the 2018 Workshop on Mobile Edge Communications · doi:10.1145/3229556.3229562 · Cited by 385 · see citing works

On Reducing IoT Service Delay via Fog Offloading

Yousefpour, A., Ishigaki, G., Gour, R., & Jue, J. P. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2788802 · Cited by 373 · see citing works

Fog Computing Micro Datacenter Based Dynamic Resource Estimation and Pricing Model for IoT

Aazam, M., & Huh, E.-N. (2015) · 2015 IEEE 29th International Conference on Advanced Information Networking and Applications · doi:10.1109/aina.2015.254 · Cited by 365 · cited 1× · see citing works

Optimized IoT service placement in the fog

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Osmotic Computing: A New Paradigm for Edge/Cloud Integration

Villari, M., Fazio, M. C., Dustdar, S., RANA, O. F., & Ranjan, R. K. (2016) · IEEE Cloud Computing · doi:10.1109/mcc.2016.124 · Cited by 352 · see citing works

Theoretical modelling of fog computing: a green computing paradigm to support IoT applications

Sarkar, S., & Misra, S. (2016) · IET Networks · doi:10.1049/iet-net.2015.0034 · Cited by 346 · see citing works

Fog Orchestration for Internet of Things Services

Wen, Z., Yang, R., Garraghan, P., Lin, T., Xu, J., & Rovatsos, M. (2017) · IEEE Internet Computing · doi:10.1109/mic.2017.36 · Cited by 339 · see citing works

A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure

Liu, C., Cao, Y., Luo, Y., Chen, G., Vokkarane, V., Yunsheng, M., Chen, S., & Hou, P. (2018) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2017.2662008 · Cited by 333 · see citing works

Key ingredients in an IoT recipe: Fog Computing, Cloud computing, and more Fog Computing

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Radio Resource Management for Ultra-Reliable and Low-Latency Communications

She, C., Yang, C., & Quek, T. Q. S. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1601092 · Cited by 317 · see citing works

A Hierarchical Distributed Fog Computing Architecture for Big Data Analysis in Smart Cities

Tang, B., Chen, Z., Hefferman, G. M., Wei, T., He, H., & Yang, Q. (2015) · ASE BigData & SocialInformatics · doi:10.1145/2818869.2818898 · Cited by 313 · see citing works

Vehicular Fog Computing: Architecture, Use Case, and Security and Forensic Challenges

Huang, C., Lu, R., & Choo, K.-K. R. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700322 · Cited by 311 · see citing works

A Review on Distributed Application Processing Frameworks in Smart Mobile Devices for Mobile Cloud Computing

Shiraz, M., Gani, A., Khokhar, R. H., & Buyya, R. (2012) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2012.111412.00045 · Cited by 301 · see citing works

Toward self-organized mobile ad hoc networks: the terminodes project

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Developing iot applications in the fog: a distributed dataflow approach

Giang, N. K., Blackstock, M., Lea, R., & Leung, V. C. M. (2015) · 2015 5th International Conference on the Internet of Things (IOT) · doi:10.1109/iot.2015.7356560 · Cited by 293 · see citing works

A Cloud-Edge Computing Framework for Cyber-Physical-Social Services

Wang, X., Yang, L. T., Xie, X., Jin, J., & Deen, M. J. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700360 · Cited by 293 · see citing works

Energy Management-as-a-Service Over Fog Computing Platform

Faruque, M. A. A., & Vatanparvar, K. (2015) · IEEE Internet of Things Journal · doi:10.1109/jiot.2015.2471260 · Cited by 292 · see citing works

Optimal delay constrained offloading for vehicular edge computing networks

Zhang, K., Mao, Y., Leng, S., Maharjan, S., & Zhang, Y. (2017) · International Conference on Communications · doi:10.1109/icc.2017.7997360 · Cited by 290 · see citing works

Towards QoS-Aware Fog Service Placement

Skarlat, O., Nardelli, M., Schulte, S., & Dustdar, S. (2017) · IEEE International Conference on Fog and Edge Computing (ICFEC) · doi:10.1109/icfec.2017.12 · Cited by 290 · see citing works

Live Service Migration in Mobile Edge Clouds

Machen, A., Wang, S., Leung, K. K., Ko, B. J., & Salonidis, T. (2017) · IEEE Wireless Communications · doi:10.1109/mwc.2017.1700011 · Cited by 288 · see citing works

Online job dispatching and scheduling in edge-clouds

Tan, H., Han, Z., Li, X., & Lau, F. C. M. (2017) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2017.8057116 · Cited by 288 · see citing works

The Extended Cloud: Review and Analysis of Mobile Edge Computing and Fog From a Security and Resilience Perspective

Shirazi, S. N., Gouglidis, A., Farshad, A., & Hutchison, D. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2760478 · Cited by 284 · see citing works

5G Mobile Communications

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Security, Privacy, and Fairness in Fog-Based Vehicular Crowdsensing

Ni, J., Zhang, A., Lin, X., & Shen, X. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600679 · Cited by 271 · see citing works

Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems

Masip‐Bruin, X., Marín‐Tordera, E., Tashakor, G., Jukan, A., & Ren, G. (2016) · IEEE Wireless Communications · doi:10.1109/mwc.2016.7721750 · Cited by 267 · see citing works

A Privacy-Preserving Vehicular Crowdsensing-Based Road Surface Condition Monitoring System Using Fog Computing

Basudan, S., Lin, X. S., & Sankaranarayanan, K. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2666783 · Cited by 265 · see citing works

Consolidate IoT Edge Computing with Lightweight Virtualization

Morabito, R., Cozzolino, V., Ding, A. Y., Beijar, N., & Ott, J. (2018) · IEEE Network · doi:10.1109/mnet.2018.1700175 · Cited by 263 · see citing works

Evaluation of Docker as Edge computing platform

Ismail, B. I., Goortani, E. M., Karim, M. B. A., Tat, W. M., Setapa, S., Luke, J. Y., & Hoe, O. H. (2015) · IEEE Conference on Open Systems · doi:10.1109/icos.2015.7377291 · Cited by 259 · see citing works

Dynamic service migration and workload scheduling in edge-clouds

Urgaonkar, R., Wang, S., He, T., Zafer, M. A., Chan, K., & Leung, K. K. (2015) · Performance Evaluation · doi:10.1016/j.peva.2015.06.013 · Cited by 255 · see citing works

2018 IEEE 4th World Forum on Internet of Things (WF-IoT)

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Optimal Schedule of Mobile Edge Computing for Internet of Things Using Partial Information

Lyu, X., Ni, W., Tian, H., Liu, R. P., Wang, X., Giannakis, G. B., & Paulraj, A. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2760186 · Cited by 251 · see citing works

QoE and power efficiency tradeoff for fog computing networks with fog node cooperation

Xiao, Y., & Krunz, M. (2017) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2017.8057196 · Cited by 250 · see citing works

Virtualization on Internet of Things Edge Devices With Container Technologies: A Performance Evaluation

Morabito, R. (2017) · IEEE Access · doi:10.1109/access.2017.2704444 · Cited by 248 · see citing works

Toward Efficient Content Delivery for Automated Driving Services: An Edge Computing Solution

Yuan, Q., Zhou, H., Li, J., Liu, Z., Yang, F., & Shen, X. (2018) · IEEE Network · doi:10.1109/mnet.2018.1700105 · Cited by 248 · see citing works

LAVEA: latency-aware video analytics on edge computing platform

Yi, S., Hao, Z., Zhang, Q., Zhang, Q., Shi, W., & Li, Q. (2017) · Proceedings of the Second ACM/IEEE Symposium on Edge Computing · doi:10.1145/3132211.3134459 · Cited by 244 · see citing works

Multitier Fog Computing With Large-Scale IoT Data Analytics for Smart Cities

He, J., Wei, J., Chen, K., Tang, Z., Zhou, Y., & Zhang, K. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2724845 · Cited by 241 · see citing works

The Case for VM-based Cloudlets in Mobile Computing

Satyanarayanan, M., Bahl, V., Cáceres, R., et al. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.64 · Cited by 241 · see citing works

Cooperative Fog Computing for Dealing with Big Data in the Internet of Vehicles: Architecture and Hierarchical Resource Management

Zhang, W., Zhang, Z., & Chao, H. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700208 · Cited by 239 · see citing works

2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)

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Secure and Sustainable Load Balancing of Edge Data Centers in Fog Computing

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