Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers
Open accessIntegrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Edge computing has become an important solution to break the bottleneck of emerging technologies by reducing data transmission, improving service latency and easing cloud computing pressure.
“Edge computing has become an important solution to break the bottleneck of emerging technologies by virtue of its advantages of reducing data transmission, improving service latency and easing cloud computing pressure.”
From Convergence of Edge Computing and Deep Learning: A Comprehensive Survey (2020) · cites this paper as [23]
The edge computing community has not yet reached a consensus on standardized definitions, architectures and protocols of edge computing.
“However, the edge computing community has not yet reached a consensus on the standardized definitions, architectures and protocols of edge computing [23].”
From Convergence of Edge Computing and Deep Learning: A Comprehensive Survey (2020) · cites this paper as [23]
Cites
Edge computing: Vision and challenges
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2579198 · Cited by 8,733 · see citing works
Fog computing and its role in the internet of things
Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012) · Proceedings of the first edition of the MCC workshop on Mobile cloud computing · doi:10.1145/2342509.2342513 · Cited by 6,244 · see citing works
The case for vm-based cloudlets in mobile computing
Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.82 · Cited by 3,660 · see citing works
The Constrained Application Protocol (CoAP)
Shelby, Z., Hartke, K., & Bormann, C. (2014) · doi:10.17487/rfc7252 · Cited by 2,605 · see citing works
Gupta, H., Vahid Dastjerdi, A., Ghosh, S. K., & Buyya, R. (2017) · Software: Practice and Experience · doi:10.1002/spe.2509 · Cited by 1,649 · see citing works
Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading
You, C., Huang, K., Chae, H., & Kim, B. (2016) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2016.2633522 · Cited by 1,504 · see citing works
Yi, S., Li, C., & Li, Q. (2015) · doi:10.1145/2757384.2757397 · Cited by 1,358 · see citing works
Mobile edge computing, Fog et al.: A survey and analysis of security threats and challenges
Roman, R., Lopez, J., & Mambo, M. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2016.11.009 · Cited by 1,338 · see citing works
Fog Computing: A Platform for Internet of Things and Analytics
Bonomi, F., Milito, R., Natarajan, P., & Zhu, J. (2014) · Studies in Computational Intelligence · doi:10.1007/978-3-319-05029-4_7 · Cited by 1,222 · see citing works
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
Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing
Sardellitti, S., Scutari, G., & Barbarossa, S. (2015) · IEEE Transactions on Signal and Information Processing over Networks · doi:10.1109/tsipn.2015.2448520 · Cited by 889 · see citing works
Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks
Zhang, K., Mao, Y., Leng, S., Zhao, Q., Li, L., Peng, X., Li, P., Maharjan, S., & Zhang, K. (2016) · IEEE Access · doi:10.1109/access.2016.2597169 · Cited by 858 · see citing works
The Akamai network: a platform for high-performance internet applications
Nygren, E., Sitaraman, R. K., & Sun, J. (2010) · ACM SIGOPS Operating Systems Review · doi:10.1145/1842733.1842736 · Cited by 726 · 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
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
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
Fog Computing: principles, architectures, and applications
Dastjerdi, A. V., Gupta, H., Calheiros, R. N., Ghosh, S., & Buyya, R. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-805395-9.00004-6 · Cited by 620 · see citing works
Fog Computing and Smart Gateway Based Communication for Cloud of Things
Aazam, M., & Huh, E.-N. (2014) · 2014 International Conference on Future Internet of Things and Cloud · doi:10.1109/ficloud.2014.83 · Cited by 620 · see citing works
A survey on mobile edge computing
Ahmed, A., & Ahmed, E. (2016) · International Conference on Intelligent Systems and Control · doi:10.1109/isco.2016.7727082 · Cited by 611 · see citing works
Challenges and opportunities in edge computing
Varghese, B., Wang, N., Barbhuiya, S., Kilpatrick, P., & Nikolopoulos, D. S. (2016) · 2016 IEEE International Conference on Smart Cloud (SmartCloud) · doi:10.1109/smartcloud.2016.18 · Cited by 565 · see citing works
Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing
Gai, K., Meikang Qiu, A., Zhao, H., Tao, L., & Zong, Z. (2015) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2015.05.016 · Cited by 488 · see citing works
Towards wearable cognitive assistance
Ha, K., Chen, Z., Hu, W., Richter, W., Pillai, P., & Satyanarayanan, M. (2014) · Proceedings of the 12th annual international conference on Mobile systems, applications, and services · doi:10.1145/2594368.2594383 · Cited by 476 · see citing works
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 · see citing works
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
Cloud-Vision: Real-time face recognition using a mobile-cloudlet-cloud acceleration architecture
Soyata, T., Muraleedharan, R., Funai, C., Kwon, M., & Heinzelman, W. (2012) · 2012 IEEE Symposium on Computers and Communications (ISCC) · doi:10.1109/iscc.2012.6249269 · Cited by 420 · see citing works
An overview of Fog computing and its security issues
Stojmenović, I., Wen, S., Huang, X., & Luan, T. H. (2015) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.3485 · Cited by 408 · 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
Mobile Edge Computing Potential in Making Cities Smarter
Taleb, T., Dutta, S., Ksentini, A., Iqbal, M., & Flinck, H. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600249cm · Cited by 400 · see citing works
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
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 · see citing works
(ACEEE summer study on energy efficiency in buildings)
Available, N. (1990) · University of North Texas Digital Library (University of North Texas) · Cited by 361 · see citing works
Greening the internet with nano data centers
Valancius, V., Laoutaris, N., Massoulié, L., Diot, C., & Rodríguez, P. (2009) · ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT) · doi:10.1145/1658939.1658944 · Cited by 357 · see citing works
Cortés, R., Bonnaire, X., Marin, O., & Sens, P. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.05.093 · Cited by 356 · 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
Wireless caching: technical misconceptions and business barriers
Paschos, G. S., Baştuǧ, E., Land, I., Caire, G., & Debbah, M. A. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7537172 · Cited by 321 · see citing works
(2014) · Cited by 296 · see citing works
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 · see citing works
Internet of Things: Principles and Paradigms
Buyya, R., & Dastjerdi, A. V. (2016) · Cited by 222 · see citing works
Fog Computing: The Cloud-IoT\/IoE Middleware Paradigm
Aazam, M., & Huh, E. (2016) · IEEE Potentials · doi:10.1109/mpot.2015.2456213 · Cited by 207 · see citing works
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 · see citing works
Self-citationFAST: 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 · see citing works
Pires, K., & Simon, G. (2015) · ACM Multimedia Systems Conference (MMSys) · doi:10.1145/2713168.2713195 · Cited by 199 · see citing works
Dynamic resource provisioning through Fog micro datacenter
Aazam, M., & Huh, E. (2015) · IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) · doi:10.1109/percomw.2015.7134002 · Cited by 192 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
2016 IEEE Symposium on Computers and Communication (ISCC)
(2016) · doi:10.1109/iscc38395.2016 · Cited by 161 · see citing works
Enabling Real-Time Context-Aware Collaboration through 5G and Mobile Edge Computing
Nunna, S., Κουσαρίδας, Α., Ibrahim, M. S., Dillinger, M., Thüemmler, C., Feußner, H., & Schneider, A. (2015) · International Conference on Information Technology: New Generations · doi:10.1109/itng.2015.155 · Cited by 158 · see citing works
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 · see citing works
Edge Provisioning with Flexible Server Placement
Yin, H., Zhang, X., Liu, H. H., Luo, Y., Tian, C., Zhao, S., & Li, F. (2016) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2016.2604803 · Cited by 137 · see citing works
Augmented Brain Computer Interaction Based on Fog Computing and Linked Data
Zao, J. K.-K., Gan, T.-T., You, C.-K., Méndez, S. J. R., Chung, C.-E., Wang, Y. T., Mullen, T. R., & Jung, T. (2014) · International Conference on Intelligent Environments (IE) · doi:10.1109/ie.2014.54 · Cited by 129 · see citing works
An analytical model for Follow Me Cloud
Taleb, T., & Ksentini, A. (2013) · Globecom · doi:10.1109/glocom.2013.6831252 · Cited by 125 · see citing works
Do, C. T., Tran, N. H. K., Pham, C., Alam, M. G. R., Son, J. H., & Hong, C. S. (2015) · International Conference on Information Networking · doi:10.1109/icoin.2015.7057905 · Cited by 121 · see citing works
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 · see citing works
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 · see citing works
Computing at the mobile edge: designing elastic android applications for computation offloading
Orsini, G., Bade, D., & Lamersdorf, W. (2015) · 2015 8th IFIP Wireless and Mobile Networking Conference (WMNC) · doi:10.1109/wmnc.2015.10 · Cited by 112 · see citing works
Trends and challenges in cloud datacenters
Bilal, K., Malik, S. U. R., Khan, S. U., & Zomaya, A. Y. (2014) · IEEE Cloud Computing · doi:10.1109/mcc.2014.26 · Cited by 109 · see citing works
Self-citationSmart Agents and Fog Computing for Smart City Applications
Giordano, A., Spezzano, G., & Vinci, A. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-39595-1_14 · Cited by 107 · see citing works
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 · see citing works
Self-citationPractical, Real-time Centralized Control for CDN-based Live Video Delivery
Mukerjee, M. K., Naylor, D., Jiang, J., Han, D., Seshan, S., & Zhang, H. (2015) · ACM Special Interest Group on Data Communication · doi:10.1145/2785956.2787475 · Cited by 99 · see citing works
The Impact of Mobile Multimedia Applications on Data Center Consolidation
Ha, K., Pillai, P. S., Lewis, G. A., Simanta, S., Clinch, S., Davies, N., & Satyanarayanan, M. (2013) · IEEE International Conference on Cloud Engineering · doi:10.1109/ic2e.2013.17 · Cited by 96 · see citing works
2016 IEEE International Smart Cities Conference (ISC2)
(2016) · doi:10.1109/isc238200.2016 · Cited by 94 · see citing works
The Speed of Recognition of Personally Familiar Faces
Ramon, M., Caharel, S., & Rossion, B. (2011) · Perception · doi:10.1068/p6794 · Cited by 93 · see citing works
EHOPES: Data-centered Fog platform for smart living
Li, J., Jin, J., Yuan, D., Palaniswami, M. S., & Moessner, K. (2015) · International Telecommunication Networks and Applications Conference (ITNAC) · doi:10.1109/atnac.2015.7366831 · Cited by 93 · see citing works
Scalable Fog Computing with Service Offloading in Bus Networks
Ye, D., Wu, M., Tang, S., & Yu, R. (2016) · IEEE International Conference on Cyber Security and Cloud Computing (CSCloud) · doi:10.1109/cscloud.2016.34 · Cited by 85 · see citing works
Proc. of 2014 IEEE Global Communications Conference (GLOBECOM)
Li, Y., Abdallah, M. M., Qaraqe, K. A., Uysal, M., & Haas, H. (2014) · Cited by 78 · see citing works
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 · see citing works
The IoT hub: a fog node for seamless management of heterogeneous connected smart objects
Cirani, S., Ferrari, G., Iotti, N., & Picone, M. (2015) · IEEE International Conference on Sensing, Communication, and Networking (SECON) · doi:10.1109/seconw.2015.7328145 · Cited by 76 · see citing works
Fog computing in multi-tier data center networks: A hierarchical game approach
Zhang, H., Xiao, Y., Bu, S., Niyato, D. T., Yu, F. R., & Han, Z. (2016) · International Conference on Communications · doi:10.1109/icc.2016.7511146 · Cited by 76 · see citing works
Cloud of Things: Integration of IoT with Cloud Computing
Aazam, M., Huh, E., St‐Hilaire, M., Lung, C., & Lambadaris, I. (2015) · Studies in systems, decision and control · doi:10.1007/978-3-319-22168-7_4 · Cited by 73 · see citing works
Proceedings of the 2015 Workshop on Mobile Big Data
Li, Q., China, M. T. S. A. I. S. O. M. A. H. N. A. C. 2. H., Association for Computing Machinery-Digital Library, ACM Special Interest Group on Mobility of Systems, U., & SIGs, A. (2015) · doi:10.1145/2757384 · Cited by 69 · see citing works
A survey on Green communications using Adaptive Link Rate
Bilal, K., Khan, S. U., Madani, S. A., Khizar Hayat, A., Khan, M. I., Min‐Allah, N., Kołodziej, J., Wang, L., Zeadally, S., & Chen, D. (2012) · Cluster Computing · doi:10.1007/s10586-012-0225-8 · Cited by 68 · see citing works
Self-citationAn Overview of Cloud Based Content Delivery Networks: Research Dimensions and State-of-the-Art
Wang, M., Jayaraman, P. P., Ranjan, R. K., Mitra, K., Zhang, M., Li, Z., Khan, S. U., Pathan, M., & Georgeakopoulos, D. (2015) · Lecture notes in computer science · doi:10.1007/978-3-662-46703-9_6 · Cited by 67 · see citing works
Self-citationGreen 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 · see citing works
Self-citationGreen Cloudlet Network: A Distributed Green Mobile Cloud Network
Sun, X., & Ansari, N. (2017) · IEEE Network · doi:10.1109/mnet.2017.1500293nm · Cited by 60 · see citing works
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 · see citing works
Challenges and Opportunities in Edge ComputingPreprint
Varghese, B., Wang, N., Barbhuiya, S., Kilpatrick, P., & Nikolopoulos, D. S. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1609.01967 · Cited by 57 · see citing works
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 · see citing works
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 · see citing works
2013 IEEE Symposium on Computers and Communications (ISCC)
(2013) · doi:10.1109/iscc32023.2013 · Cited by 51 · see citing works
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 · see citing works
A fog computing solution for advanced metering infrastructure
Yan, Y. L., & Su, W. (2016) · IEEE PES Transmission and Distribution Conference and Exhibition · doi:10.1109/tdc.2016.7519890 · Cited by 48 · see citing works
Ahmed, S. H., Bouk, S. H., & Kim, D. (2016) · Springer briefs in electrical and computer engineering · doi:10.1007/978-981-10-0066-9 · Cited by 48 · see citing works
Cloudlet-based for big data collection in body area networks
Quwaider, M., & Jararweh, Y. (2013) · International Conference for Internet Technology and Secured Transactions · doi:10.1109/icitst.2013.6750178 · Cited by 44 · see citing works
YouTube Live and Twitch: A Tour of User-Generated Live Streaming Systems
Pires, K., Bretagne, T., Simon, G., & Bretagne, T. (2015) · Cited by 44 · see citing works
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 · see citing works
Transactions on large-scale data- and knowledge-centered systems
Hameurlain, A., Küng, J., & Wagner, R. (2009) · Springer eBooks · Cited by 43 · see citing works
A Cloudlet-Assisted Multiplayer Cloud Gaming System
Cai, W., Leung, V. C. M., & Hu, L. (2013) · Mobile Networks and Applications · doi:10.1007/s11036-013-0485-4 · Cited by 43 · see citing works
Practical, Real-time Centralized Control for CDN-based Live Video Delivery
Mukerjee, M. K., Naylor, D., Jiang, J., Han, D., Seshan, S., & Zhang, H. (2015) · ACM SIGCOMM Computer Communication Review · doi:10.1145/2829988.2787475 · Cited by 43 · see citing works
2018 IEEE International Conference on Cloud Engineering (IC2E)
(2018) · doi:10.1109/ic2e42778.2018 · Cited by 42 · see citing works
A LISP-Based Implementation of Follow Me Cloud
Ksentini, A., Taleb, T., & Messaoudi, F. (2014) · IEEE Access · doi:10.1109/access.2014.2360352 · Cited by 39 · see citing works
MacroServ: A Route Recommendation Service for Large-Scale Evacuations
Khan, M. U. S., Khalid, O., Huang, Y., Ranjan, R. K., Zhang, F., Cao, J., Veeravalli, B., Khan, S. U., Li, K., & Zomaya, A. Y. (2015) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2015.2497241 · Cited by 38 · see citing works
Self-citationFOX: A traffic management system of computer-based vehicles FOG
Brennand, C. A. R. L., Cunha, F. D., Maia, G., Cerqueira, E., Loureiro, A. A. F., & Villas, L. A. (2016) · IEEE Symposium on Computers and Communications (ISCC) · doi:10.1109/iscc.2016.7543864 · Cited by 36 · see citing works
Gao, Y., Hu, W., Ha, K., Amos, B., Pillai, P. S., & Satyanarayanan, M. (2015) · doi:10.13140/rg.2.1.2560.9681 · Cited by 35 · see citing works
Cloud-Assisted Live Streaming for Crowdsourced Multimedia Content
Chen, F., Zhang, C., Wang, F., Liu, J., Wang, X., & Liu, Y. (2015) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2015.2460193 · Cited by 33 · see citing works
Koubâa, A., & Shakshuki, E. (2015) · Studies in systems, decision and control · doi:10.1007/978-3-319-22168-7 · Cited by 30 · see citing works
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 · see citing works
Self-citationAdaptive streaming of interactive free viewpoint videos to heterogeneous clients
Hamza, A. M., & Hefeeda, M. M. (2016) · ACM Multimedia Systems Conference (MMSys) · doi:10.1145/2910017.2910610 · Cited by 29 · see citing works
Agarwal, S., Philipose, M., & Bahl, P. (2014) · doi:10.1145/2609908.2609946 · Cited by 28 · see citing works
Scalability Issues in Online Social Networks
Maqsood, T., Khalid, O., Irfan, R., Madani, S. A., & Khan, S. U. (2016) · ACM Computing Surveys · doi:10.1145/2968216 · Cited by 27 · see citing works
Self-citationIEEE International Conference on Cloud Engineering (IC2E 2015)
(2014) · Computer · doi:10.1109/mc.2014.184 · Cited by 26 · see citing works
The Megawatts behind Your Megabytes: Going from Data-Center to Desktop
Costenaro, D., & Duer, A. (2012) · Cited by 25 · see citing works
Impact of Multiple Video Representations in Live Streaming: A Cost, Bandwidth, and QoE Analysis
Bilal, K., & Erbad, A. (2017) · IEEE International Conference on Cloud Engineering · doi:10.1109/ic2e.2017.20 · Cited by 24 · see citing works
Self-citationInnovations in Computer Science and Engineering
(2018) · Lecture notes in networks and systems · doi:10.1007/978-981-10-8201-6 · Cited by 21 · see citing works
Network delay guarantee for differentiated services in content-centric networking
Chu, W., Wang, L., Xie, H., Zhang, Z.-L., & Jiang, Z. (2015) · Computer Communications · doi:10.1016/j.comcom.2015.09.009 · Cited by 17 · see citing works
2016 11th IEEE Symposium on Industrial Embedded Systems (SIES)
(2016) · doi:10.1109/sies38652.2016 · Cited by 16 · see citing works
Cloudlet Softwarization for Pervasive Healthcare
Amraoui, A. E., & Sethom, K. (2016) · International Conference on Advanced Information Networking and Applications Workshops (WAINA) · doi:10.1109/waina.2016.52 · Cited by 13 · see citing works
International Conference on Intelligent Environments (IE), 2015
Guilly, T. L., Smedegård, J. H., Pedersen, T. G., & Skou, A. (2015) · Cited by 13 · see citing works
On Mobile Cloud for Smart City ApplicationsPreprint
Sneps-Sneppe, M., & Namiot, D. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1605.02886 · Cited by 10 · see citing works
Energy consumption of cloud computing and fog computing applications
Jalali, F. (2015) · Minerva Access (University of Melbourne) · Cited by 10 · see citing works
Nutshell: Cloud Simulation and Current Trends
Rahman, U. U., Hakeem, O., Raheem, M. I., Bilal, K., Khan, S. U., & Yang, L. T. (2015) · IEEE International Conference on Smart City/SocialCom/SustainCom · doi:10.1109/smartcity.2015.51 · Cited by 6 · see citing works
Self-citationIEEE Transactions on Multimedia
(2018) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2018.2802159 · Cited by 4 · see citing works
Proceedings of the fifth international workshop on Mobile cloud computing & services
Agarwal, Y., & Zhong, L. (2014) · International Conference on Mobile Systems, Applications, and Services · Cited by 3 · see citing works
A Proposed Technique for Cloud Computing Security
Garg, K., & Singh, J. (2017) · Lecture notes in networks and systems · doi:10.1007/978-981-10-3818-1_10 · Cited by 2 · see citing works
Flagged first, then by citations
5 of the 134 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
Wang, X., Han, Y., Leung, V. C. M., Niyato, D., Yan, X., & Chen, X. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2970550 · Cited by 1,498 · see citing works
“More detailed information can be found in [8], [22], [23].”
BackgroundEnabling technologies for fog computing in healthcare IoT systems
Mutlag, A. A., Abd Ghani, M. K., Arunkumar, N., Mohammed, M. A., & Mohd, O. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2018.07.049 · Cited by 590 · see citing works
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey
Khan, L. U., Yaqoob, I., Tran, N. H. K., Kazmi, S. M. A., Dang, T. N., & Hong, C. S. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2987070 · Cited by 509 · see citing works
Federated Learning in Edge Computing: A Systematic Survey
Abreha, H. G., Hayajneh, M., & Serhani, M. A. (2022) · Sensors · doi:10.3390/s22020450 · Cited by 366 · see citing works
An Overview of Service Placement Problem in Fog and Edge Computing
Aït-Salaht, F., Desprez, F., & Lèbre, A. (2020) · ACM Computing Surveys · doi:10.1145/3391196 · Cited by 342 · see citing works
Edge Computing for Internet of Everything: A Survey
Kong, X., Wu, Y., Wang, H., & Xia, F. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3200431 · Cited by 309 · see citing works
Fog/Edge Computing-Based IoT (FECIoT): Architecture, Applications, and Research Issues
Omoniwa, B., Hussain, R., Javed, M. A., Bouk, S. H., & Malik, S. A. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2875544 · Cited by 285 · see citing works
Deep learning for edge computing applications: A State-of-the-Art survey
Wang, F., Zhang, M., Wang, X., Ma, X., & Liu, J. (2020) · IEEE Access · doi:10.1109/access.2020.2982411 · Cited by 259 · see citing works
From A to Z: Wearable technology explained
Godfrey, A., Hetherington, V., Shum, H. P. H., Bonato, P., Lovell, N. H., & Stuart, S. (2018) · Maturitas · doi:10.1016/j.maturitas.2018.04.012 · Cited by 246 · see citing works
Industry 4.0 Implementation Challenges and Opportunities: A Managerial Perspective
Bajić, B., Rikalović, A., Suzić, N., & Piuri, V. (2020) · IEEE Systems Journal · doi:10.1109/jsyst.2020.3023041 · Cited by 244 · see citing works
Water immersion cooling of high power density electronics
Birbarah, P., Gebrael, T., Foulkes, T., Stillwell, A., Moore, A., Pilawa-Podgurski, R. C. N., & Miljkovic, N. (2019) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2019.118918 · Cited by 242 · see citing works
Rejeb, A., Rejeb, K., Simske, S., Treiblmaier, H., & Zailani, S. H. M. (2022) · Internet of Things · doi:10.1016/j.iot.2022.100565 · Cited by 226 · see citing works
A review of edge computing reference architectures and a new global edge proposal
Sittón-Candanedo, I., Alonso, R. S., Corchado, J. M., Rodrı́guez, S., & Vara, R. C. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.04.016 · Cited by 225 · see citing works
Edge computing: current trends, research challenges and future directions
Carvalho, G., Cabral, B., Pereira, V., & Bernardino, J. (2021) · Computing · doi:10.1007/s00607-020-00896-5 · Cited by 223 · see citing works
A review on fog computing: Issues, characteristics, challenges, and potential applications
Daş, R., & Inuwa, M. M. (2023) · Telematics and Informatics Reports · doi:10.1016/j.teler.2023.100049 · Cited by 214 · see citing works
Baccour, E., Mhaisen, N., Abdellatif, A. A., Erbad, A., Mohamed, A. M. S., Hamdi, M., & Guizani, M. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3200740 · Cited by 209 · see citing works
Self-citationYounan, M., Houssein, E. H., Elhoseny, M., & Ali, A. A. (2019) · Measurement · doi:10.1016/j.measurement.2019.107198 · Cited by 207 · see citing works
Towards the Decentralised Cloud
Ferrer, A. J., Marquès, J. M., & Jorba, J. (2019) · ACM Computing Surveys · doi:10.1145/3243929 · Cited by 199 · see citing works
Architectural Design Alternatives Based on Cloud/Edge/Fog Computing for Connected Vehicles
Wang, H., Liu, T., Kim, B., Lin, C., Shiraishi, S., Xie, J. L., & Han, Z. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3020854 · Cited by 199 · see citing works
Zahmatkesh, H., & Al-Turjman, F. M. (2020) · Sustainable Cities and Society · doi:10.1016/j.scs.2020.102139 · Cited by 170 · see citing works
Shuja, J., Bilal, K., Alasmary, W., Sinky, H., & Alanazi, E. (2021) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2021.103005 · Cited by 157 · see citing works
Self-citationFog 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 · see citing works
Smart city big data analytics: An advanced review
Soomro, K., Bhutta, M. N. M., Khan, Z., & Tahir, M. A. (2019) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.1319 · Cited by 132 · see citing works
Heuristic Edge Server Placement in Industrial Internet of Things and Cellular Networks
Kasi, S. K., Kasi, M. K., Ali, K., Raza, M., Afzal, H., Lasebae, A., Naeem, B., Islam, S. U., & Rodrigues, J. J. P. C. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3041805 · Cited by 128 · see citing works
A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges
Khan, M. A., Baccour, E., Chkirbene, Z., Erbad, A., Hamila, R., Hamdi, M., & Gabbouj, M. (2022) · IEEE Access · doi:10.1109/access.2022.3220694 · Cited by 126 · see citing works
Self-citationQuality of service‐aware approaches in fog computing
Kashani, M. H., Rahmani, A. M., & Navimipour, N. J. (2020) · International Journal of Communication Systems · doi:10.1002/dac.4340 · Cited by 119 · see citing works
Edge computing server placement with capacitated location allocation
Lähderanta, T., Leppänen, T., Ruha, L., Lovén, L., Harjula, E., Ylianttila, M., Riekki, J. P., & Sillanpää, M. J. (2021) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2021.03.007 · Cited by 116 · see citing works
Sharif, Z., Jung, L. T., Razzak, I., & Alazab, M. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3111838 · Cited by 114 · see citing works
Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey
Dogani, J., Namvar, R., & Khunjush, F. (2023) · Computer Communications · doi:10.1016/j.comcom.2023.06.010 · Cited by 111 · see citing works
Task offloading in fog computing: A survey of algorithms and optimization techniques
Kumari, N., Yadav, A., & Jana, P. K. (2022) · Computer Networks · doi:10.1016/j.comnet.2022.109137 · Cited by 107 · see citing works
Assessing the reliability of fog computing for smart mobility applications in VANETs
Pereira, J. R., Ricardo, L., Luís, M., Senna, C. R., & Sargento, S. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.11.043 · Cited by 104 · see citing works
Industry 4.0 Implementation Challenges and Opportunities: A Technological Perspective
Rikalović, A., Suzić, N., Bajić, B., & Piuri, V. (2021) · IEEE Systems Journal · doi:10.1109/jsyst.2021.3101673 · Cited by 101 · see citing works
Abdulazeez, D. H., & Askar, S. K. (2023) · IEEE Access · doi:10.1109/access.2023.3241881 · Cited by 101 · see citing works
IoT Implementation of Kalman Filter to Improve Accuracy of Air Quality Monitoring and Prediction
Lai, X., Yang, T., Wang, Z., & Chen, P. (2019) · Applied Sciences · doi:10.3390/app9091831 · Cited by 100 · see citing works
Maia, A. M., Ghamri-Doudane, Y. M., Vieira, D., & de Castro, M. F. (2021) · Computer Networks · doi:10.1016/j.comnet.2021.108146 · Cited by 96 · see citing works
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Chkirbene, Z., Erbad, A., Hamila, R., Mohamed, A. M. S., Guizani, M., & Hamdi, M. (2020) · IEEE Access · doi:10.1109/access.2020.2994931 · Cited by 94 · see citing works
Self-citationVehicular software-defined networking and fog computing: Integration and design principles
Nobre, J. C., Souza, A. M. D., do Rosário, D. L., Both, C. B., Villas, L. A., Cerqueira, E., Braun, T. I., & Gerla, M. (2018) · Ad Hoc Networks · doi:10.1016/j.adhoc.2018.07.016 · Cited by 89 · see citing works
Yahuza, M., Idris, M. Y. I., Wahab, A. W. A., Ho, A. T. S., Khan, S., Musa, S. N., & Taha, A. Z. (2020) · IEEE Access · doi:10.1109/access.2020.2989456 · Cited by 87 · see citing works
Self-citationMoving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions
Bangui, H., Rakrak, S., Raghay, S., & Bühnová, B. (2018) · Electronics · doi:10.3390/electronics7110309 · Cited by 86 · see citing works
Cloudlet Computing: Recent Advances, Taxonomy, and Challenges
Babar, M., Khan, M. S., Ali, F., Imran, M. A., & Shoaib, M. (2021) · IEEE Access · doi:10.1109/access.2021.3059072 · Cited by 82 · see citing works
Towards effective offloading mechanisms in fog computing
Sofla, M. S., Kashani, M. H., Mahdipour, E., & Mirzaee, R. F. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11423-9 · Cited by 82 · see citing works
On Resilience in Cloud Computing
Welsh, T., & Benkhelifa, E. (2020) · ACM Computing Surveys · doi:10.1145/3388922 · Cited by 75 · see citing works
Slama, S. B. (2021) · Ain Shams Engineering Journal · doi:10.1016/j.asej.2021.05.018 · Cited by 75 · see citing works
5G Multi-Access Edge Computing: A Survey on Security, Dependability, and Performance
Nencioni, G., Garroppo, R. G., & Olimid, R. F. (2023) · IEEE Access · doi:10.1109/access.2023.3288334 · Cited by 74 · see citing works
Current state and prospects of edge computing within the Internet of Things (IoT) ecosystem
Sodiya, E. O., Umoga, U. J., Obaigbena, A., Jacks, B. S., Ugwuanyi, E. D., Daraojimba, A. I., & Lottu, O. A. (2024) · International Journal of Science and Research Archive · doi:10.30574/ijsra.2024.11.1.0287 · Cited by 72 · see citing works
Privacy-Aware Cloud Auditing for GDPR Compliance Verification in Online Healthcare
Barati, M., Aujla, G. S., Llanos, J. T., Adu-Duodu, K., RANA, O. F., Carr, M., & Ranjan, R. K. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2021.3100152 · Cited by 71 · see citing works
Edge-Oriented Computing: A Survey on Research and Use Cases
Sulieman, N. A., Celsi, L. R., Li, W., Zomaya, A. Y., & Villari, M. (2022) · Energies · doi:10.3390/en15020452 · Cited by 69 · see citing works
Service Migration from Cloud to Multi-tier Fog Nodes for Multimedia Dissemination with QoE Support
do Rosário, D. L., Schimuneck, M., Camargo, J., Nobre, J. C., Both, C. B., Rochol, J., & Gerla, M. (2018) · Sensors · doi:10.3390/s18020329 · Cited by 67 · see citing works
Maximizing the Utilization of Fog Computing in Internet of Vehicle Using SDN
Kadhim, A. J., & Seno, S. A. H. (2018) · IEEE Communications Letters · doi:10.1109/lcomm.2018.2878710 · Cited by 66 · see citing works
Edge MLOps: An Automation Framework for AIoT Applications
Raj, E., Buffoni, D., Westerlund, M., & Ahola, K. (2021) · IEEE International Conference on Cloud Engineering · doi:10.1109/ic2e52221.2021.00034 · Cited by 59 · see citing works
A review on trust management in fog/edge computing: Techniques, trends, and challenges
Nikravan, M., & Kashani, M. H. (2022) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2022.103402 · Cited by 56 · see citing works
Tracking GDPR Compliance in Cloud-Based Service Delivery
Barati, M., & Rana, O. (2022) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2020.2999559 · Cited by 51 · see citing works
Xu, Y., Chen, L., Lu, Z., Du, X., Wu, J., & Hung, P. C. K. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3119181 · Cited by 51 · see citing works
Dogo, E. M., Salami, A. F., Aigbavboa, C. O., & Nkonyana, T. (2018) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-319-99061-3_7 · Cited by 51 · see citing works
Edge Computing Based Applications in Vehicular Environments: Comparative Study and Main Issues
Mendiboure, L., Chalouf, M. A., & Krief, F. (2019) · Journal of Computer Science and Technology · doi:10.1007/s11390-019-1947-3 · Cited by 50 · see citing works
LBRO: Load Balancing for Resource Optimization in Edge Computing
Nayyer, M. Z., Raza, I., Hussain, S. A., Jamal, M. H., Gillani, Z., Hur, S., & Ashraf, I. (2022) · IEEE Access · doi:10.1109/access.2022.3205741 · Cited by 49 · see citing works
Collaborative joint caching and transcoding in mobile edge networks
Bilal, K., Baccour, E., Erbad, A., Mohamed, A. M. S., & Guizani, M. (2019) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2019.02.004 · Cited by 49 · see citing works
Self-citationSecurity challenges in fog-computing environment: a systematic appraisal of current developments
Yakubu, J., Abdulhamid, S. M., Christopher, H. A., Chiroma, H., & Abdullahi, M. (2019) · Journal of Reliable Intelligent Environments · doi:10.1007/s40860-019-00081-2 · Cited by 49 · see citing works
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 · see citing works
Application and Research of IoT Architecture for End-Net-Cloud Edge Computing
Zhang, Y., Yu, H., Zhou, W., & Man, M. (2022) · Electronics · doi:10.3390/electronics12010001 · Cited by 45 · see citing works
Jin, W., Xu, R., You, T., Hong, Y.-G., & Kim, D. (2020) · IEEE Access · doi:10.1109/access.2020.3030297 · Cited by 45 · see citing works
Cloud-Edge Orchestration for Smart Cities: A Review of Kubernetes-based Orchestration Architectures
Böhm, S., & Wirtz, G. (2022) · EAI Endorsed Transactions on Smart Cities · doi:10.4108/eetsc.v6i18.1197 · Cited by 44 · see citing works
FogJam: A Fog Service for Detecting Traffic Congestion in a Continuous Data Stream VANET
Peixoto, M. L. M., Mota, E., Maia, A., Junior, W. V. L., Salahuddin, M. A., Boutaba, R., & Villas, L. A. (2022) · Ad Hoc Networks · doi:10.1016/j.adhoc.2022.103046 · Cited by 44 · see citing works
Rehman, W. U., Koondhar, M. A., Afridi, S. K., Albasha, L., Smaili, I. H., Touti, E., Aoudia, M., Zahrouni, W., Mahariq, I., & Ahmed, M. M. R. (2025) · Energy Nexus · doi:10.1016/j.nexus.2025.100368 · Cited by 46 · see citing works
Fog and edge computing: concepts, tools and focus areas
Hurbungs, V., Bassoo, V., & Fowdur, T. P. (2021) · International Journal of Information Technology · doi:10.1007/s41870-020-00588-5 · Cited by 44 · see citing works
Tran‐Dang, H., & Kim, D. (2022) · IEEE Access · doi:10.1109/access.2022.3219427 · Cited by 44 · see citing works
Sharing Health Information Using a Blockchain
Elvas, L. B., Serrão, C., & Ferreira, J. C. (2023) · Healthcare · doi:10.3390/healthcare11020170 · Cited by 43 · see citing works
Optimized Placement of Scalable IoT Services in Edge Computing
Maia, A. M., Ghamri-Doudane, Y. M., Vieira, D., & Franklin de Castro, M. (2019) · HAL · Cited by 43 · see citing works
Optimization of Data and Energy Migrations in Mini Data Centers for Carbon-Neutral Computing
da Silva, M. D. M., Gamatié, A., Sassatelli, G., Poss, M., & Robert, M. (2022) · IEEE Transactions on Sustainable Computing · doi:10.1109/tsusc.2022.3197090 · Cited by 42 · see citing works
Safari, A., Sorouri, H., Rahimi, A., & Oshnoei, A. (2025) · Electronics · doi:10.3390/electronics14112214 · Cited by 42 · see citing works
Energy-Efficient and delay-guaranteed computation offloading for fog-based IoT networks
Shahryari, O., Pedram, H., Khajehvand, V., & Fooladi, M. D. T. (2020) · Computer Networks · doi:10.1016/j.comnet.2020.107511 · Cited by 42 · see citing works
Edge Computing vs. Cloud Computing: Challenges and Opportunities in Industry 4.0
Bajić, B., Ćosić, I., Katalinić, B., Morača, S., Lazarević, M., & Rikalović, A. (2019) · Annals of DAAAM for ... & proceedings of the ... International DAAAM Symposium · doi:10.2507/30th.daaam.proceedings.120 · Cited by 41 · see citing works
Dynamic Microservice Allocation for Virtual Reality Distribution With QoE Support
Alencar, D., Both, C. B., Antunes, R. S., Oliveira, H. M. N. D. S., Cerqueira, E., & do Rosário, D. L. (2021) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2021.3076922 · Cited by 40 · see citing works
Ezzat, M. A., Abd El Ghany, M. A., Almotairi, S., & Salem, M. A.-M. (2021) · Sensors · doi:10.3390/s21093222 · Cited by 39 · see citing works
Genetic-based optimization in fog computing: Current trends and research opportunities
Guerrero, C., Lera, I., & Juiz, C. (2022) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2022.101094 · Cited by 39 · see citing works
Analytical models for availability evaluation of edge and fog computing nodes
Pereira, P., Araujo, J., Melo, C., Santos, V., & Maciel, P. (2021) · The Journal of Supercomputing · doi:10.1007/s11227-021-03672-0 · Cited by 38 · see citing works
A Survey of Cloudlet-Based Mobile Augmentation Approaches for Resource Optimization
Nayyer, M. Z., Raza, I., & Hussain, S. A. (2018) · ACM Computing Surveys · doi:10.1145/3241738 · Cited by 36 · see citing works
Fog Computing Potentials, Applications, and Challenges
Haouari, F., Faraj, R., & Alja’am, J. M. (2018) · International Conference on Computer and Applications (ICCA) · doi:10.1109/comapp.2018.8460182 · Cited by 35 · see citing works
A Smart Classroom Based on Deep Learning and Osmotic IoT Computing
Pacheco, A., Cano, P., Flores, E., Trujillo, E., & Márquez, P. (2018) · Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI) · doi:10.1109/coniiti.2018.8587095 · Cited by 34 · see citing works
A multi-Agent based model for task scheduling in cloud-fog computing platform
Fellir, F., Attar, A. E., Nafil, K., & Chung, L. (2020) · IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT) · doi:10.1109/iciot48696.2020.9089625 · Cited by 34 · see citing works
Dogani, J., & Khunjush, F. (2024) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2024.104837 · Cited by 32 · see citing works
Walczyk, G., & Ożadowicz, A. (2024) · Future Internet · doi:10.3390/fi16070225 · Cited by 31 · see citing works
Bajić, B., Suzić, N., Simeunović, N., Morača, S., & Rikalović, A. (2020) · International Journal of Industrial Engineering and Management · doi:10.24867/ijiem-2020-3-260 · Cited by 31 · see citing works
Moussa, M. M., & Alazzawi, L. (2020) · IEEE International Conference on Smart Cloud (SmartCloud) · doi:10.1109/smartcloud49737.2020.00019 · Cited by 31 · see citing works
Cai, Q., Zhou, Y., Liu, L., Qi, Y., Pan, Z., & Zhang, H. (2023) · IEEE Wireless Communications · doi:10.1109/mwc.014.2200283 · Cited by 31 · see citing works
Flat and hierarchical system deployment for edge computing systems
Wang, E., Li, D., Dong, B., Zhou, H., & Zhu, M. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.12.004 · Cited by 30 · see citing works
Intelligent Video Analytics for Human Action Recognition: The State of Knowledge
Kulbacki, M., Segen, J., Chaczko, Z., Rozenblit, J. W., Kulbacki, M., Klempous, R., & Wojciechowski, K. W. (2023) · Sensors · doi:10.3390/s23094258 · Cited by 29 · see citing works
Moniaga, J. V., Ohyver, M., Siregar, J., & Yauwito, P. H. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.09.010 · Cited by 29 · see citing works
A multi‐queue priority‐based task scheduling algorithm in fog computing environment
Fahad, M., Shojafar, M., Abbas, M., Ahmed, I., & Ijaz, H. (2022) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.7376 · Cited by 29 · see citing works
HS-DCell: A Highly Scalable DCell-Based Server-Centric Topology for Data Center Networks
Wang, G., Zhang, Y., Yu, J., Ma, M., Hu, C., Fan, J., & Zhang, L. (2024) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2024.3398628 · Cited by 28 · see citing works
F2c2C-DM: A Fog-to-cloudlet-to-Cloud Data Management Architecture in Smart City
Sinaeepourfard, A., Krogstie, J., Petersen, S. A., & Ahlers, D. (2019) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot.2019.8767226 · Cited by 28 · see citing works
Data offloading in IoT environments: modeling, analysis, and verification
Ghosh, A., Khalid, O., Rais, R. N. B., Rehman, A. U., Malik, S. U. R., & Khan, I. A. (2019) · EURASIP Journal on Wireless Communications and Networking · doi:10.1186/s13638-019-1358-8 · Cited by 28 · see citing works
Self-citationCF-CloudOrch: container fog node-based cloud orchestration for IoT networks
Kim, N. Y., Ryu, J. H., Kwon, B. W., Pan, Y. F., & Park, J. H. (2018) · The Journal of Supercomputing · doi:10.1007/s11227-018-2493-4 · Cited by 27 · see citing works
Gan, D., Ge, X., & Li, Q. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3292368 · Cited by 26 · see citing works
S-HIDRA: A blockchain and SDN domain-based architecture to orchestrate fog computing environments
Núñez‐Gómez, C., Carrión, C., Caminero, B., & Delicado, F. M. (2022) · Computer Networks · doi:10.1016/j.comnet.2022.109512 · Cited by 25 · see citing works
A Multi-Objective Service Placement and Load Distribution in Edge Computing
Maia, A. M., Ghamri-Doudane, Y. M., Vieira, D., & de Castro, M. F. (2019) · Globecom · doi:10.1109/globecom38437.2019.9014303 · Cited by 24 · see citing works
Dispersed Computing for Tactical Edge in Future Wars: Vision, Architecture, and Challenges
Yang, H., Li, G., Sun, G., Chen, J., Meng, X., Yu, H., Xu, W., Qu, Q., & Ying, X. (2021) · Wireless Communications and Mobile Computing · doi:10.1155/2021/8899186 · Cited by 24 · see citing works
Secure Mobile Edge Server Placement Using Multi-Agent Reinforcement Learning
Kasi, M. K., Ghazalah, S. A., Akram, R. N., & Sauveron, D. (2021) · Electronics · doi:10.3390/electronics10172098 · Cited by 23 · see citing works
Sengupta, A., Gill, S. S., Das, A., & De, D. (2021) · Mobile Edge Computing · doi:10.1007/978-3-030-69893-5_17 · Cited by 22 · see citing works
A multi-tier fog content orchestrator mechanism with quality of experience support
Santos, H., Alencar, D., Meneguette, R. I., do Rosário, D. L., Nobre, J. C., Both, C. B., Cerqueira, E., & Braun, T. I. (2020) · Computer Networks · doi:10.1016/j.comnet.2020.107288 · Cited by 22 · see citing works
- Authors
- Bilal, K., Khalid, O., Erbad, A., & Khan, S. U.
- Affiliations
- COMSATS University Islamabad (PK)
- Qatar University (QA)
- North Dakota State University (US)
- Corresponding author
- Bilal, Kashif
- Venue
- Computer Networks
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 130
- Pages
- 94-120
- ISSN
- 1389-1286 (ISSN-L)
- OpenAlex
- W2765716344
- Cited by
- 334
- References
- 134
- Citations by year
- 2026: 8 · 2025: 27 · 2024: 32 · 2023: 34 · 2022: 58 · 2021: 53 · 2020: 55 · 2019: 43 · 2018: 24
- FWCI
- 22.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Computer Networks (acceptedVersion)
- Qatar University QSpace (Qatar University) (submittedVersion)
- Funders
- Qatar National Research Fund (8-519-1-108)
- National Science Foundation
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Caching and Content Delivery
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- edge computing, fog computing, cloudlets, mobile edge computing, micro data centers, network traffic reduction, energy efficiency, Internet of Everything, smart cities, content delivery networks, sensor data processing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
