Challenges and opportunities in edge computing
Open accessAbstract
Many cloud-based applications employ a data centers as a central server to process data that is generated by edge devices, such as smartphones, tablets and wearables. This model places ever increasing demands on communication and computational infrastructure with inevitable adverse effect on Quality-of-Service and Experience. The concept of Edge Computing is predicated on moving some of this computational load towards the edge of the network to harness computational capabilities that are currently untapped in edge nodes, such as base stations, routers and switches. This position paper considers the challenges and opportunities that arise out of this new direction in the computing landscape.
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The four edge computing concepts-Cloudlet, FC, MEC, and mDCs-share a vision of the future Internet that urgently requires addressing the mismatch between cloud computing and increasing mobile users and edge devices.
“Each of these four edge computing concepts, Cloudlet, FC, MEC and mDCs, shares a perceived vision of the future of the Internet that urgently requires addressing the mismatch between cloud computing (with its finite number of distant data centres) and the increasing number of mobile users competing for access with a relentless increase in edge devices via edge computing [37].”
From Edge AI: A survey (2023) · cites this paper as [37]
The Abstract (page unavailable) says that centralized cloud processing of data from edge devices puts increasing demands on infrastructure, and that edge computing moves some processing toward the network edge. It does not identify Cloudlets, FC, MEC, and mDCs as four concepts sharing a vision, or state that data centres are finite and distant. (LLM, conf=0.84)
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Cites
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A Survey on the Edge Computing for the Internet of Things
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From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks
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- Authors
- Varghese, B., Wang, N., Barbhuiya, S., Kilpatrick, P., & Nikolopoulos, D. S.
- Affiliations
- Queen's University Belfast (GB)
- Venue
- 2016 IEEE International Conference on Smart Cloud (SmartCloud)
- Publisher
- IEEE
- Published
- 2016-11
- Pages
- 20-26
- OpenAlex
- W2515329741
- Cited by
- 565
- References
- 2
- Citations by year
- 2026: 32 · 2025: 64 · 2024: 69 · 2023: 89 · 2022: 73 · 2021: 72 · 2020: 60 · 2019: 48 · 2018: 36 · 2017: 22
- FWCI
- 30.20
- Type
- conference paper
- Language
- en
- Open access
- green
- pure.qub.ac.uk
- Locations
- IEEE International Conference on Smart Cloud (SmartCloud) (publishedVersion)
- eSpace (Curtin University) (submittedVersion)
- Research Portal (Queen's University Belfast) (submittedVersion, other-oa)
- Funders
- Engineering and Physical Sciences Research Council (EP/M015742/1)
- 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, cloud computing, data centers, edge devices, quality of service, network infrastructure, base station
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