The DOI matches its Crossref record; 129 of the 134 references it cites were found in a registry or an index.
Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers
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In the citing paper
“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]
In the citing paper
“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]
Citations
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
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
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
The Constrained Application Protocol (CoAP)
Shelby, Z., Hartke, K., & Bormann, C. (2014) · doi:10.17487/rfc7252 · Cited by 2,605
Gupta, H., Vahid Dastjerdi, A., Ghosh, S. K., & Buyya, R. (2017) · Software: Practice and Experience · doi:10.1002/spe.2509 · Cited by 1,649
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 1,516
Yi, S., Li, C., & Li, Q. (2015) · doi:10.1145/2757384.2757397 · Cited by 1,358
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
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
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
Flagged first, then by citations
5 of the 134 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- T.H. Luan, L. Gao, Z. Li, Y. Xiang, and L. Sun, Fog computing: focusing on mobile users at the edge, [online] arXiv: 1502.01815, 2015. · arXiv
- Akamai, 2014, Akamai's State of the Internet Q1, vol.7
- Akamai, 2016, Akamai's State of the Internet Q1, vol. 9
- Stojmenovic, 2015, An overview of Fog computing and its security issues, Concurr. Comput.
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Items 301–334 of 334
(2022) · Wiley eBooks · doi:10.1002/9781394173761.ch4
Recent Applications of Artificial Intelligence in Computer Network Considering Big Data Methods
Xu, W. (2022) · International Journal of Science and Engineering Applications · doi:10.7753/ijsea1112.1045
Edge Computing Technology: State-of-the-Art and Challenges in an Internet of Things
Raghunathan, D., & Krishnamoorthi, M. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-16-2183-3_44
A Study of Edge Computing and its Impact on Network Services in Nigeria
Faruq, H. U., & Wang, H. (2023) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2023.49176
Setting the Scene: Cloud, Edge, Mobile and Ad-hoc Computing Context
Ferrer, A. J. (2022) · Springer eBooks · doi:10.1007/978-3-031-23344-9_2
Peng, H., Xu, Y., & Li, H. (2023) · International Journal of Wireless Communications and Mobile Computing · doi:10.11648/j.wcmc.20221002.11
Matching Theory for Distributed Computation in IoT-Fog-Cloud Systems
Tran‐Dang, H., & Kim, D. (2023) · Springer eBooks · doi:10.1007/978-3-031-33920-2_7
Social Edge Trends and Applications
Wang, D., & Zhang, D. (2023) · Springer eBooks · doi:10.1007/978-3-031-26936-3_2
Fredriksson, S., Eleftheriadis, L., Brännvall, R., Backman, N., & Gustafsson, J. (2023) · ACM International Conference on Future Energy Systems (e-Energy) · doi:10.1145/3599733.3600252
Execution of Resource Intensive Tasks on a Heterogeneous SoC for Low-Latency Embedded Compute
Fekete, G., & Kovácsházy, T. (2023) · International Carpathian Control Conference · doi:10.1109/iccc57093.2023.10178981
Haddadou, K., & Pujolle, G. (2023) · Wiley eBooks · doi:10.1002/9781394257461.ch2
IoT Driven Air Quality Surveillance and Forecasting
Singh, D. P., Aruna, M., & Somanna, M. N. V. (2023) · International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT) · doi:10.1109/icaiccit60255.2023.10466044
Impact of Edge Computing on Cloud Infrastructure- A Review Paper
Mahida, A. (2019) · International Journal of Science and Research (IJSR) · doi:10.21275/sr24314130019
Coverage Dynamics: Modeling and Analysis of Data Coverage in Heterogeneous Edge Networks
Wang, J., Wang, W., & Wang, X. (2024) · Springer eBooks · doi:10.1007/978-3-031-62906-8_3
Geumpana, T. A., & RAY, P. K. (2024) · Disaster risk reduction · doi:10.1007/978-981-97-2049-1_12
A Comprehensive Systematic Scoping Review of Self-Driving Vehicle Models
Ajao, Q. M., Sodiq, O. O., & Sadeeq, L. (2024) · African Journal of Advances in Science and Technology Research · doi:10.62154/ajastr.2024.017.010458
Multi-graph Embedding and GRU Based Prediction for Mesh Microservice in Edge Computing
Chen, M., & Cai, Z. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-2376-1_32
IoT Implementation of Kalman Filter: Enhancing Air Quality Monitoring Accuracy and Prediction
Adnan, M. M., Al-Hilali, A. A., Jabbar, I., H.H.Alaak, Hassan, I. A., Alwan, A. S., & Awad, A. M. (2024) · International Conference on IoT, Communication and Automation Technology (ICICAT) · doi:10.1109/icicat62666.2024.10922994
Integrasi Cron Job untuk Otomatisasi Pengolahan dan Transfer Data pada Sistem Cloud-Fog
Wibowo, A., Fathimah, A., Aprilianto, R. A., & Waskito, D. (2025) · Edu Elektrika Journal · doi:10.15294/2k6j4w06
Kumar, D., Sharma, B., & Sharma, P. K. (2025) · Lecture notes in electrical engineering · doi:10.1007/978-981-96-3644-0_4
de Matos, F., Rêgo, P. A. L., Trinta, F. A. M., & Castor, F. (2025) · The Journal of Supercomputing · doi:10.1007/s11227-025-07921-4
API-Driven Task Scheduling and Offloading with PULCEO: An Extension
Böhm, S., & Wirtz, G. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-07313-6_9
Key enabling technologies for smart city development: a comprehensive overview
Dakhole, D., Zade, N., Manjula, H. M., Pallavi, M., & Madhura, K. (2025) · International Journal on Smart Sensing and Intelligent Systems · doi:10.2478/ijssis-2025-0061
Design and Application of Edge Computing Architecture for Real-Time Control in Smart Microgrids
Pashchuk, I., & Dombrovskyi, M. (2025) · IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) · doi:10.1109/idaacs68557.2025.11322012
An Analytical Review of Edge and Cloud Computing with Performance Measure and Evaluation
Sindhu, R., Moar, K., Sethi, V., Arora, S., & Rani, D. (2025) · International Conference on Computational Intelligence and Computing Applications (ICCICA) · doi:10.1109/iccica67008.2025.11337408
P-UCB: A Preference-Based Upper Confidence Bound Strategy for Efficient Edge Server Placement
Zhu, D., Zhang, Z., Deng, Y., Long, S., & Cui, L. (2026) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2026.3664992
Voronets, O., Пустовойтов, П. Є., & Voronets, V. (2026) · Herald of Khmelnytskyi National University Technical sciences · doi:10.31891/2307-5732-2026-363-63
Ubiquitous,Transparent,Security and Privacy: Challenges and Applications
Rawindaran, N., Wylde, V., & Patel, P. (2026) · International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) · doi:10.1109/acdsa67686.2026.11468103
Singh, A., Patel, Y. S., Townend, P., & Östberg, P.-O. (2026) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2026.117261
大規模異種環境におけるリソース管理システム:Function-as-a-Service によるアプローチ
李, 彦. (n.d.) · Institutional Repositories DataBase (IRDB)
Gandhi, K., Shah, K., Gandhi, A., & Bhise, M. (2026) · Big Data Research · doi:10.1016/j.bdr.2026.100641
Kaur, H., Malik, S., Baggan, V., Tyagi, N., & Kumar, D. (2026) · Discover Computing · doi:10.1007/s10791-026-10550-x
Ten questions concerning the integration of edge data centers in buildings
Koirala, B. P., Humbert, G., Cai, H., Brandes, M., Stoller, S., Hansson, J., Melgaard, S. P., Yilmaz, C., Bayraktar, B., Kuzay, M., et al. (2026) · Building and Environment · doi:10.1016/j.buildenv.2026.115362
From Core to Edge: Mobile Data Centers for Next-Generation Distributed Computing
Wlodarczyk, M., & Kobusińska, A. (2026) · IEEE Access · doi:10.1109/access.2026.3745377
Metadata
- 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
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