Skip to main content

The Fog Computing Paradigm: A Rising Need of IoT World

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 828))

Abstract

An increasing demand of connected devices in the field of IoT put forth the requirement of timely availability of data for the delay sensitive applications. To mitigate such requirements, fog computing plays a key role in IoT world. Fog computing supports the applications and services that do not fit with the cloud paradigm. It acts as a bridge between the underlying networks and the cloud. In this paper, we put forward the various benefits and the driving forces behind the concept of fog computing and analyze the real-world applications that include smart grid, smart traffic lights in vehicular networks, and a smarter building control.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Stojmenovic I, Wen S (2014) The fog computing paradigm: scenarios and security issues. In: Federated Conference on Computer science and information systems (FedCSIS), pp 1–8. IEEE

    Google Scholar 

  2. 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, pp 13–16. ACM

    Google Scholar 

  3. Zao JK, Gan TT, You CK, Chung CE, Wang YT, Méndez SJR, Mullen T, Yu C, Kothe C, Hsiao CT, et al (2014) Pervasive brain monitoring and data sharing based on multi-tier distributed computing and linked data technology. Frontiers in human neuroscience, vol 8

    Google Scholar 

  4. Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Networks 54(15):2787–2805

    Article  Google Scholar 

  5. Xia F, Yang LT, Wang L, Vinel A (2012) Internet of things. Int J Commun Syst 25(9):1101

    Article  Google Scholar 

  6. Mulligan G (2007) The 6LoWPAN architecture. In: Proceedings of the 4th workshop on Embedded networked sensors, pp 78–82. ACM

    Google Scholar 

  7. Aazam M, Huh EN (204) Fog computing and smart gateway based communication for cloud of things. In: Future internet of things and cloud (FiCloud), 2014 international conference on, pp 464–470. IEEE (2014)

    Google Scholar 

  8. Gartner Says 8.4 Billion connected “Things” will be in use in 2017, up 31 percent from 2016. https://www.gartner.com/newsroom/id/3598917/. 15 Sep 2017

  9. Aazam M, Hung PP, Huh EN (2014) Smart gateway based communication for cloud of things. In: 2014 IEEE ninth international conference on intelligent sensors, sensor networks and information processing (ISSNIP), pp 1–6. IEEE

    Google Scholar 

  10. Aazam M, Khan I, Alsaffar AA, Huh EN (2014) Cloud of things: integrating internet of things and cloud computing and the issues involved. In: Applied sciences and technology (IBCAST), 2014 11th International Bhurban Conference on, pp 414–419. IEEE (2014)

    Google Scholar 

  11. Jadeja Y, Modi K (2012) Cloud computing-concepts, architecture and challenges. In: 2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET), pp 877–880. IEEE

    Google Scholar 

  12. Ma W, Zhang J (2012) The survey and research on application of cloud computing. In: 2012 7th International Conference on Computer Science & Education (ICCSE), pp 203–206. IEEE

    Google Scholar 

  13. Zhang S, Zhang S, Chen X, Huo X (2010) Cloud computing research and development trend. In: Future Networks, 2010. ICFN’10. Second international conference on, pp 93–97. Ieee

    Google Scholar 

  14. Zhou M, Zhang R, Zeng D, Qian W (2010) Services in the cloud computing era: a survey. In: 2010 4th International Universal communication symposium (IUCS), pp 40–46. IEEE

    Google Scholar 

  15. Aazam M, Huh EN (2014) Inter-cloud architecture and media cloud storage design considerations. In: The proceedings of 7th IEEE CLOUD, Anchorage, Alaska, USA, vol 27

    Google Scholar 

  16. Computing F (2016) the Internet of things: extend the cloud to where the things are

    Google Scholar 

  17. Wei C, Fadlullah ZM, Kato N, Stojmenovic I (2014) On optimally reducing y power loss in micro-grids with power storage devices. IEEE J Sel Areas Commun 32(7):1361–1370

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Shivani Desai or Ankit Thakkar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Desai, S., Thakkar, A. (2019). The Fog Computing Paradigm: A Rising Need of IoT World. In: Kulkarni, A., Satapathy, S., Kang, T., Kashan, A. (eds) Proceedings of the 2nd International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-13-1610-4_39

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-1610-4_39

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1609-8

  • Online ISBN: 978-981-13-1610-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics