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FOG Computing: The new Paradigm

by Hathal Salamah A. Alwageed
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Number 5
Year of Publication: 2015
Authors: Hathal Salamah A. Alwageed

Hathal Salamah A. Alwageed . FOG Computing: The new Paradigm. Communications on Applied Electronics. 3, 5 ( November 2015), 21-27. DOI=10.5120/cae2015651946

@article{ 10.5120/cae2015651946,
author = { Hathal Salamah A. Alwageed },
title = { FOG Computing: The new Paradigm },
journal = { Communications on Applied Electronics },
issue_date = { November 2015 },
volume = { 3 },
number = { 5 },
month = { November },
year = { 2015 },
issn = { 2394-4714 },
pages = { 21-27 },
numpages = {9},
url = { },
doi = { 10.5120/cae2015651946 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-09-04T19:43:31.772373+05:30
%A Hathal Salamah A. Alwageed
%T FOG Computing: The new Paradigm
%J Communications on Applied Electronics
%@ 2394-4714
%V 3
%N 5
%P 21-27
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

As the Internet of Everything (IoE) heats up, Cisco engineers put forward a new networking, compute, and storage paradigm that extends to the edge of the network []. Fog Computing is a paradigm that stretches out or extends Cloud Computing and services to the systems or network edge. Like Cloud, Fog gives information/data, process or compute, storage, and application services to end-clients. The recognizing Fog attributes are its closeness to end-clients, its tightly packed geographical conveyance or distribution, and its backing for mobility. Services are facilitated at the network edge or even end devices, for example, set-top-boxes or end points. Thusly, Fog diminishes services latency, and enhances QoS, bringing about prevalent client experience. Fog Computing holds up up-and-coming Internet of Everything (IoE) applications that request real timing/unsurprising latency (Industrial computerization/automation, transportation, sensors networks and actuators). On account of its geographical distribution the Fog paradigm is very much situated for real-time huge information or big data and analytics. Fog bolsters compactly distributed data collection points, subsequently adding a fourth pivot to the frequently specified Big Data measurements such as volume, variety, and velocity.

  3. CoAP Protocol - IETF Draft”
  4. MQTT Protocol - OASIS Specification. “
  5. Metro network traffic growth: An architecture impact study. Technical report, Bell Labs Alcatel-Lucent, December 2013.
  6. “K. Albrecht et al”, Connected: To everyone and everything [guest editorial: Special section on sensors]. Technology and Society Magazine, IEEE, 32(4):31–34, winter 2013.
  7. “D. Astely et al”: the evolution of mobile broadband. Communications Magazine, IEEE, 47(4):44–51, April 2009.
  8. “Arati Baliga et al”, Virtual private mobile network towards mobility-as-a-service. In Proceedings of the Second International Workshop on MobileCloud Computing and Services, MCS ’11, pages 7–12, New York, NY, USA, 2011. ACM.
  9. “Arijit Banerjee, et al “, A lightweight mobile cloud offloading architecture. In Proceedings of the Eighth ACM International Workshop on Mobility in the Evolving Internet Architecture, MobiArch ’13, pages 11–16, New York, NY, USA, 2013. ACM.
  10. “Flavio Bonom et al”, Fog computing and its role in the internet of things. In Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, MCC ’12, pages 13–16, New York, NY, USA, 2012. ACM.
  11. “Duncan R et al”, The missing memristor found. Nature, (7191):8083, 2008.
  12. “D.Evans”, “The internet of things how the next evolution of the internet is changing everything”. Technical report, CISCO IBSG, April 2011.
  13. “Shyamnath Gollakota et al”, The emergence of rf-powered computing. Computer, 99(PrePrints):1, 2013.
  14. Kirak Hong, David Lillethun, Umakishore Ramachandran, Beate Ottenw¨alder, and Boris Koldehofe. Mobile fog: A programming model for large-scale applications on the internet of things. In Proceedings of the Second ACM SIGCOMM Workshop on Mobile Cloud Computing, MCC ’13, pages 15–20, New York, NY, USA, 2013. ACM.
  15. “Taewoo Nam et al”, Smart city as urban innovation: Focusing on management, policy, and context. In Proceedings of the 5th International Conference on Theory and Practice of Electronic Governance, ICEGOV ’11, pages 185–194, New York, NY, USA, 2011.
  16. “Beth Plale et al”, Adaptive cyberinfrastructure for real-time multiscale weather forecasting. Computer, 39(11):56–64, November 2006.
  17. “G. Pollock et al”, The asymptotic configuration of application components in a distributed system. Technical report, University of Glasgow, Glasgow, UK.
  18. “Raluca Ada Popa et al”, Processing queries on an encrypted database.
  19. Communications of the ACM, 55(9):103–111, September 2012.“S. Sae Lor et al”, The cloud in core networks. Communications Letters, IEEE, 16(10):1703–1706, October 2012.
  20. “S. K. Sarkar et al”, Ad Hoc Mobile Wireless Networks: Principles, Protocols, and Applications. CRC Press, 2007.
  21. “Luis M. Vaquero et al”, Towards runtime reconfiguration of application control policies in the cloud. J. Netw. Syst. Manage., 20(4):489–512, December 2012.
Index Terms

Computer Science
Information Sciences


Cloud Computing Distributed Computing Networking IoT