Edge computing: a survey
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Edge computing brings computation services closer to end users at the edge of the network such that data does not need to travel large distances to remote centralized servers.
“Edge computing, in contrast, brings these computation services closer to the end users (UAVs) at the edge of the network such that data does not need to travel large distances to remote centralized servers [7].”
From A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges (2022) · cites this paper as [7]
Edge devices are equipped with low computing resources, which represents a main challenge of Edge Computing.
“Though, such devices are equipped with low computing resources which represent the main challenges of Edge Computing(EC) [16].”
From A survey on deep transfer learning to edge computing for mitigating the COVID-19 pandemic (2020) · cites this paper as [16]
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Edge computing: current trends, research challenges and future directions
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A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture
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Blockchain for Edge of Things: Applications, Opportunities, and Challenges
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A survey on deep transfer learning to edge computing for mitigating the COVID-19 pandemic
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Learning Spatiotemporal Failure Dependencies for Resilient Edge Computing Services
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A Framework for Edge-Assisted Healthcare Data Analytics using Federated Learning
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“The deployment of convolutional neural network (CNN)-based DL models directly on resource-constrained edge devices [4] has gained considerable attention and various solutions have been proposed to achieve lightweight, efficient and accurate inference at the edge.”
Background
- Authors
- Khan, W. Z., Ahmed, E., Hakak, S., Yaqoob, I., & Ahmed, A.
- Affiliations
- Jazan University (SA)
- University of Malaya (MY)
- University of New Brunswick (CA)
- Kyung Hee University (KR)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Khan, Wazir Zada
- Ahmed, Ejaz
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 97
- Pages
- 219-235
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W2915771847
- Cited by
- 1,157
- References
- 108
- Citations by year
- 2026: 104 · 2025: 196 · 2024: 180 · 2023: 214 · 2022: 195 · 2021: 154 · 2020: 84 · 2019: 30
- FWCI
- 63.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Future Generation Computer Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Caching and Content Delivery
- Keywords
- edge computing, mobile edge computing, cloudlets, fog computing, Internet of Things, 5G, low latency, delay-sensitive applications, location awareness, vehicle-to-vehicle communication, augmented reality, cloud computing
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