Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers

Edge computing: Vision and challenges

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Fog computing and its role in the internet of things

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The case for vm-based cloudlets in mobile computing

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The Constrained Application Protocol (CoAP)

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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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Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading

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A Survey of Fog Computing

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Mobile edge computing, Fog et al.: A survey and analysis of security threats and challenges

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Fog Computing: A Platform for Internet of Things and Analytics

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Fog Computing: Helping the Internet of Things Realize Its Potential

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Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing

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Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks

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The Akamai network: a platform for high-performance internet applications

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

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

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

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Fog Computing: principles, architectures, and applications

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Fog Computing and Smart Gateway Based Communication for Cloud of Things

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A survey on mobile edge computing

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Challenges and opportunities in edge computing

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Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing

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Towards wearable cognitive assistance

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Edge analytics in the internet of things

Satyanarayanan, M., Simoens, P., Xiao, Y., Pillai, P., Chen, Z., Ha, K., Hu, W., & Amos, B. (2015) · IEEE Pervasive Computing · doi:10.1109/mprv.2015.32 · Cited by 430

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

Cloud-Vision: Real-time face recognition using a mobile-cloudlet-cloud acceleration architecture

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An overview of Fog computing and its security issues

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Fog Computing May Help to Save Energy in Cloud Computing

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Mobile Edge Computing Potential in Making Cities Smarter

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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

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

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Stream Processing of Healthcare Sensor Data: Studying User Traces to Identify Challenges from a Big Data Perspective

Cortés, R., Bonnaire, X., Marin, O., & Sens, P. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.05.093 · Cited by 356

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

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Wireless caching: technical misconceptions and business barriers

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Internet of Things: Principles and Paradigms

Buyya, R., & Dastjerdi, A. V. (2016) · Cited by 234

Improving Web Sites Performance Using Edge Servers in Fog Computing Architecture

Zhu, J., Chan, D. S., Prabhu, M. S., Natarajan, P., Hu, H., & Bonomi, F. (2013) · IEEE International Symposium on Service-Oriented System Engineering (SOSE) · doi:10.1109/sose.2013.73 · Cited by 230

Fog Computing: The Cloud-IoT\/IoE Middleware Paradigm

Aazam, M., & Huh, E. (2016) · IEEE Potentials · doi:10.1109/mpot.2015.2456213 · Cited by 207

Dynamic resource provisioning through Fog micro datacenter

Aazam, M., & Huh, E. (2015) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2015.7134002 · Cited by 202

A taxonomy and survey on Green Data Center Networks

Bilal, K., Malik, S. U. R., Khalid, O., Hameed, A., Alvarez, E., Wijaysekara, V., Irfan, R., Shrestha, S., Dwivedy, D., Ali, M., et al. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.07.006 · Cited by 202

FAST: A fog computing assisted distributed analytics system to monitor fall for stroke mitigation

Cao, Y. K., Chen, S., Hou, P., & Brown, D. E. (2015) · IEEE International Conference on Networking, Architecture and Storage (NAS) · doi:10.1109/nas.2015.7255196 · Cited by 199

YouTube live and Twitch

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Mobility-aware caching for content-centric wireless networks: modeling and methodology

Wang, R., Peng, X., Zhang, J., & Letaief, K. B. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7537180 · Cited by 190

Scalable crowd-sourcing of video from mobile devices

Simoens, P., Xiao, Y., Pillai, P., Chen, Z., Ha, K., & Satyanarayanan, M. (2013) · ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services · doi:10.1145/2462456.2464440 · Cited by 186

Dynamic Urban Surveillance Video Stream Processing Using Fog Computing

Chen, N., Chen, Y., You, Y., Ling, H., Liang, P., & Zimmermann, R. (2016) · IEEE International Conference on Multimedia Big Data · doi:10.1109/bigmm.2016.53 · Cited by 180

On security and privacy issues of fog computing supported Internet of Things environment

Lee, K., Kim, D., Ha, D.-S., Rajput, U., & Oh, H. (2015) · International Conference on the Network of the Future (NOF) · doi:10.1109/nof.2015.7333287 · Cited by 173

Fog computing architecture to enable consumer centric internet of things services

Datta, S. K., Bonnet, C., & Haerri, J. (2015) · 2015 International Symposium on Consumer Electronics (ISCE) · doi:10.1109/isce.2015.7177778 · Cited by 172

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

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Enabling Real-Time Context-Aware Collaboration through 5G and Mobile Edge Computing

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Cloudlet deployment in local wireless networks: motivation, architectures, applications, and open challenges

Shaukat, U., Ahmed, E., Anwar, Z., & Xia, F. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2015.11.009 · Cited by 140

Edge Provisioning with Flexible Server Placement

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Augmented Brain Computer Interaction Based on Fog Computing and Linked Data

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An analytical model for Follow Me Cloud

Taleb, T., & Ksentini, A. (2013) · Globecom · doi:10.1109/glocom.2013.6831252 · Cited by 125

A proximal algorithm for joint resource allocation and minimizing carbon footprint in geo-distributed fog computing

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Analysis of fog model considering computing and communication latency in 5G cellular networks

Intharawijitr, K., Iida, K., & Koga, H. (2016) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2016.7457059 · Cited by 121

A Hierarchical Game Framework for Resource Management in Fog Computing

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Trends and challenges in cloud datacenters

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Smart Agents and Fog Computing for Smart City Applications

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Edge computing for interactive media and video streaming

Bilal, K., & Erbad, A. (2017) · International Conference on Fog and Mobile Edge Computing (FMEC) · doi:10.1109/fmec.2017.7946410 · Cited by 105

Practical, Real-time Centralized Control for CDN-based Live Video Delivery

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The Impact of Mobile Multimedia Applications on Data Center Consolidation

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The Speed of Recognition of Personally Familiar Faces

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EHOPES: Data-centered Fog platform for smart living

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Scalable Fog Computing with Service Offloading in Bus Networks

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Proc. of 2014 IEEE Global Communications Conference (GLOBECOM)

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A resource-sharing model based on a repeated game in fog computing

Sun, Y., & Zhang, N. (2017) · Saudi Journal of Biological Sciences · doi:10.1016/j.sjbs.2017.01.043 · Cited by 76

The IoT hub: a fog node for seamless management of heterogeneous connected smart objects

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Fog computing in multi-tier data center networks: A hierarchical game approach

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Cloud of Things: Integration of IoT with Cloud Computing

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A survey on Green communications using Adaptive Link Rate

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An Overview of Cloud Based Content Delivery Networks: Research Dimensions and State-of-the-Art

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Green Data Center Networks: Challenges and Opportunities

Bilal, K., Khan, S. U., & Zomaya, A. Y. (2013) · International Conference on Frontiers of Information Technology (FIT) · doi:10.1109/fit.2013.49 · Cited by 61

Green Cloudlet Network: A Distributed Green Mobile Cloud Network

Sun, X., & Ansari, N. (2017) · IEEE Network · doi:10.1109/mnet.2017.1500293nm · Cited by 60

Fog-to-cloud Computing (F2C): The key technology enabler for dependable e-health services deployment

Masip‐Bruin, X., Marín‐Tordera, E., Alonso, A., & García, J. (2016) · Annual Mediterranean Ad Hoc Networking Workshop · doi:10.1109/medhocnet.2016.7528425 · Cited by 60

Challenges and Opportunities in Edge ComputingPreprint

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A Mobile Cloud Computing Model Using the Cloudlet Scheme for Big Data Applications

Tawalbeh, L., Bakheder, W., & Song, H. H. (2016) · IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies · doi:10.1109/chase.2016.40 · Cited by 55

Improved throughput for Power Line Communication (PLC) for smart meters using fog computing based data aggregation approach

Nazmudeen, M. S. H., Wan, A. T., & Buhari, S. M. (2016) · IEEE International Smart Cities Conference (ISC2) · doi:10.1109/isc2.2016.7580841 · Cited by 54

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Early Implementation Experience with Wearable Cognitive Assistance Applications

Chen, Z., Jiang, L., Hu, W., Ha, K., Amos, B., Pillai, P. S., Hauptmann, A. G., & Satyanarayanan, M. (2015) · Workshop on Wearable Systems and Applications (WearSys) · doi:10.1145/2753509.2753517 · Cited by 50

A fog computing solution for advanced metering infrastructure

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Content-Centric Networks

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2017 IEEE International Conference on Smart Cloud (SmartCloud)

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Cloudlet-based for big data collection in body area networks

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YouTube Live and Twitch: A Tour of User-Generated Live Streaming Systems

Pires, K., Bretagne, T., Simon, G., & Bretagne, T. (2015) · Cited by 44

Cloud support for large scale e-healthcare systems

Althebyan, Q., Yaseen, Q. M., Jararweh, Y., & Al‐Ayyoub, M. (2016) · Annals of Telecommunications · doi:10.1007/s12243-016-0496-9 · Cited by 43

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A Cloudlet-Assisted Multiplayer Cloud Gaming System

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Practical, Real-time Centralized Control for CDN-based Live Video Delivery

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2018 IEEE International Conference on Cloud Engineering (IC2E)

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A LISP-Based Implementation of Follow Me Cloud

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MacroServ: A Route Recommendation Service for Large-Scale Evacuations

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FOX: A traffic management system of computer-based vehicles FOG

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Are Cloudlets Necessary?

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2015 International Conference on Information Networking (ICOIN)

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Cloud-Assisted Live Streaming for Crowdsourced Multimedia Content

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2013 IEEE Seventh International Symposium on Service-Oriented System Engineering

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Robots and Sensor Clouds

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EvacSys: A Cloud-Based Service for Emergency Evacuation

Khalid, O., Khan, M. U. S., Huang, Y., Khan, S. U., & Zomaya, A. Y. (2016) · IEEE Cloud Computing · doi:10.1109/mcc.2016.10 · Cited by 30

Adaptive streaming of interactive free viewpoint videos to heterogeneous clients

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Vision

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Scalability Issues in Online Social Networks

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IEEE International Conference on Cloud Engineering (IC2E 2015)

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The Megawatts behind Your Megabytes: Going from Data-Center to Desktop

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Impact of Multiple Video Representations in Live Streaming: A Cost, Bandwidth, and QoE Analysis

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Innovations in Computer Science and Engineering

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Network delay guarantee for differentiated services in content-centric networking

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Cloudlet Softwarization for Pervasive Healthcare

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