Bringing Computation Closer toward the User Network: Is Edge Computing the Solution?
Abstract
The virtually unlimited available resources and wide range of services provided by the cloud have resulted in the emergence of new cloud-based applications, such as smart grids, smart building control, and virtual reality. These developments, however, have also been accompanied by a problem for delay-sensitive applications that have stringent delay requirements. The current cloud computing paradigm cannot realize the requirements of mobility support, location awareness, and low latency. Hence, to address the problem, an edge computing paradigm that aims to extend the cloud resources and services and enable them to be nearer the edge of an enterprise's network has been introduced. In this article, we highlight the significance of edge computing by providing real-life scenarios that have strict constraint requirements on application response time. From the previous literature, we devise a taxonomy to classify the current research efforts in the domain of edge computing. We also discuss the key requirements that enable edge computing. Finally, current challenges in realizing the vision of edge computing are discussed.
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Fog computing was introduced in 2011 as a decentralized computer layer between the cloud and the sensing components to overcome the increasing number of IoT devices.
“In 2011, Fog computing has been introduced to overcome the increasing number of IoT devices, as a decentralized computer layer between the cloud and the sensing components [39].”
From A Comprehensive Survey on TinyML (2023) · cites this paper as [39]
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All one needs to know about fog computing and related edge computing paradigms: A complete survey
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Self-citationA Comprehensive Survey on TinyML
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- Authors
- Ahmed, E., Ahmed, A., Yaqoob, I., Shuja, J., Gani, A., Imran, M., & Shoaib, M.
- Affiliations
- University of Malaya (MY)
- National Institute Of Technology Silchar (IN)
- COMSATS University Islamabad (PK)
- King Saud University (SA)
- Venue
- IEEE Communications Magazine
- Published
- 2017-11
- Volume
- 55
- Issue
- 11
- Pages
- 138-144
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2769686021
- Cited by
- 192
- References
- 15
- Citations by year
- 2026: 2 · 2025: 11 · 2024: 13 · 2023: 22 · 2022: 31 · 2021: 44 · 2020: 24 · 2019: 28 · 2018: 17
- FWCI
- 12.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Communications Magazine (publishedVersion)
- FedUni ResearchOnline (Federation University Australia) (submittedVersion)
- 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, cloud computing, delay-sensitive applications, low latency, mobility assistance, location awareness, enterprise networks, smart grid, virtual reality, intelligent building control
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