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Cited by 28IoT and Edge/Fog ComputingEnergy Efficiency in ComputingCloud Computing and Resource Management

A manifesto for modern fog and edge computing: vision, new paradigms, opportunities, and future directions

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Gill, Sukhpal Singh·2022·EAI/Springer Innovations in Communication and Computing
DOI 10.1007/978-3-030-74402-1_13
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  • With Edge Computing, edge servers can automatically manage city traffic via data collected from intelligent sensors at traffic lights and CCTV cameras on highways.

    “With Edge Computing, edge servers can automatically manage city traffic via data collected from intelligent sensors at traffic lights and CCTV cameras on highways [88].”

    From Edge AI: A survey (2023) · cites this paper as [88]

    Section 3.4, “Traffic Management” (p. 6), says IoT sensors and actuators help manage traffic and that fog and edge computing can process data quickly for pothole alerts. It does not describe edge servers automatically managing city traffic using sensors at traffic lights or CCTV cameras on highways. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

  • ICN defines data chunks so the network interprets and treats content semantically without needing deep packet inspection or the application layer.

    “Data”

    From Edge AI: A survey (2023) · cites this paper as [88]

    Section 5.9 (p. 11) discusses processing user data in fog and edge computing, and Section 5.13 (p. 12) discusses software-defined networking. Neither addresses ICN-defined data chunks, semantic interpretation of content, or avoiding deep packet inspection and the application layer. Searches for ICN, information-centric networking, and deep packet inspection found no passage supporting the claim. (LLM, conf=0.74)

    Experimental — accuracy not yet measured

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Research works printed but not linked: 66

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  2. [2][2] Aslanpour MS, Gill SS, Toosi AN. (2020) Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research. Internet of Things . 11:100273. -
  3. [3][3] Bonomi F, Milito R, Zhu J, Addepalli S. (2012) Fog computing and its role in the internet of things. In Proceedings of the first edition of the MCC workshop on Mobile cloud computing 2012 Aug 17 (pp. 13-16). -
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  32. [37][37] Gill SS, Chana I, Singh M, Buyya R. (2019) RADAR: Self -configuring and self -healing in resource management for enhancing quality of cloud services. Concurrency and Computation: Practice and Experience . 2019 Jan 10;31(1):e4834. -
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  66. [76][76] IEEE Transactions on Industrial Informatics . 2020 May 27. Abdullah M, Iqbal W, Mahmood A, Bukhari F, Erradi A. (2020) Predictive autoscaling of microservices hosted in fog microdata center. List of Abbreviations CDC: Cloud Data Centres IoT: Internet of Things 6G: 6th Generation VM: Virtual Machines SLA: Service Level Agreements QoS: Quality of Service AI: Artificial Intelligence DoS: Denial of Service DDoS: Distributed-DoS R2L: Remote to Local U2R: User to Root FaaS: Function as a Service About the Author Sukhpal Singh Gill is a Lecturer (Assistant Professor) in Cloud Computing at School of Electronic Engineering and Computer Science, Queen Mary University of London, UK. Prior to this, Dr. Gill has held positions as a Research Associate at the School of Computing and 26 IEEE Systems Journal . 2020 Jun 10. Communications, Lancaster University, UK and also as a Postdoctoral Research Fellow at CLOUDS Laboratory, The University of Melbourne, Australia. Dr. Gill is serving as an Associate Editor in Wiley ETT and IET Networks Journal. His research interests include Cloud Computing, Fog Computing, Software Engineering, Internet of Things and Healthcare. For further information, please visit http://www.ssgill.me

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Sorted by citations

Authors
Gill, S. S.
Affiliations
Queen Mary University of London (GB)
Corresponding author
Gill, Sukhpal Singh
ORCID
Gill, Sukhpal Singh
Venue
EAI/Springer Innovations in Communication and Computing
Publisher
Springer International Publishing
Published
2021-09-18
Pages
237-253
ISSN
  • 2522-8595 (ISSN-L)
  • 2522-8609
DOI
10.1007/978-3-030-74402-1_13
OpenAlex
W3200369028
Cited by
28
References
7
Citations by year
2026: 1 · 2025: 4 · 2024: 5 · 2023: 5 · 2022: 11 · 2021: 2
FWCI
15.53
Type
book chapter
Language
en
Open access
Licence
Locations
  • EAI/Springer Innovations in Communication and Computing (publishedVersion)
  • arXiv (Cornell University) (publishedVersion)
  • Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
  • arXiv (Cornell University) (cc-by)
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 › Information Systems › Cloud Computing and Resource Management
Keywords
fog computing, edge computing, Internet of Things, cloud computing, latency reduction, research opportunities, future research directions

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