Skip to main content
SpringerLink
Log in

Green Cloud Computing for IoT Based Smart Applications

  • Chapter
  • First Online:
Green Mobile Cloud Computing

Abstract

Over the last few years, the concept of Green mobile Computing has surfaced as organizations assess their carbon footprints and the influence they have on the environment. Aside from environmental and social concerns that are becoming increasingly significant to users, the financial costs of maintaining energy-burning and heat-producing IT systems make greener solutions more appealing. Green computing is the process of implementing ways to maximize the productivity of computer resources while lowering their energy consumption and environmental impact in an architecture such as of Internet of Things. Green Cloud is emerging as a quotient of these trends, resulting in a concept that is both energy efficient and carbon emission conscious. Fog computing structure also tackles these problems by deploying micro clouds or cloudlets as data centers at the edge of data sources, which complements the cloud framework’s extensive capabilities. This study looks at some of the approaches that can be used to make a cloud or fog platform ecologically responsible. Virtualization and migration techniques are explained using the example of an IoT-based automated outdoor lighting system that keeps its data in the cloud/fog to fulfill a green and energy-efficient purpose.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

References

  1. Gougeon, A., Camus, B., Orgerie, A.C.: Optimizing green energy consumption of fog computing architectures. In: 2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), pp. 75–82. IEEE (2020)

    Google Scholar 

  2. Srikantaiah, S., Kansal, A., Zhao, F.: Energy aware consolidation for cloud computing. In: Proceedings of the Workshop Power Aware Computer System (HotPower), pp. 10 (2008)

    Google Scholar 

  3. Prekas, G., et al.: Energy proportionality and workload consolidation for latency-critical application. In: Proceedings of the SoCC, pp. 342–355 (2015)

    Google Scholar 

  4. Tang, Q., Gupta, S.K.S., Varsamopoulos, G.: Energy-efficient thermal-aware task scheduling for homogeneous high-performance computing data centers: a cyber-physical approach. IEEE Trans. Parallel Distrib. Syst. 19, 1458–1472 (2008)

    Article  Google Scholar 

  5. Iwata, S., Shiozawa, K.: A simulation result of replicating data with another layout for reducing media exchange of cold storage. In: Proceedings of the 8th USENIX Workshop Hot Topics Storage File System, pp. 10–21 (2016)

    Google Scholar 

  6. Farahanakian, F., Ashraf, A., Liljeberg, P.: Energy-aware dynamic VM consolidation in cloud data centers using ant colony system. In: Proceedings of the IEEE 7th International Conference Cloud Computing (CLOUD), pp. 104–111 (2014)

    Google Scholar 

  7. Al Shayeji, M.H., Samrajesh, M.D.: An energy-aware virtual machine migration algorithm. In: Proceedings of the International Conference Advances in Computing and Communication (ICACC), pp. 9–11 (2012)

    Google Scholar 

  8. Usvub, K., Farooqi, A.M., Afshar Alam, M.: Edge up green computing in cloud data centers. Int. J. Adv. Res. Comput. Sci. 8, 2 (2017)

    Google Scholar 

  9. Han, G., et al.: Resource-utilization-aware energy efficient server consolidation algorithm for green computing in IIOT. J. Netw. Comput. Appl. 103, 205–214 (2018)

    Article  Google Scholar 

  10. Sharma, M.K.: Software level green computing with multi-core processors using fork-and-join framework (2017)

    Google Scholar 

  11. Kumar, S., Kaiwartya, O., Abdullah, A.H.: Green computing for wireless sensor networks: optimization and Huffman coding approach. Peer-to-Peer Netw. Appl. 10(3), 592–609 (2017)

    Article  Google Scholar 

  12. Farooqi, A.M.: Comparative analysis of green cloud computing. Int. J. Adv. Res. Comput. Sci. 8, 2 (2017)

    Google Scholar 

  13. Kharchenko, V., Illiashenko, O.: Concepts of green IT engineering: taxonomy, principles and implementation. In: Green IT Engineering: Concepts, Models, Complex Systems Architectures, pp. 3–19. Springer, Cham (2017)

    Chapter  Google Scholar 

  14. More, N.S., Ingle, R.B.: Challenges in green computing for energy saving techniques. Emerging Trends & Innovation in ICT (ICEI), 2017 International Conference on. IEEE (2017)

    Google Scholar 

  15. Shaikh, F.K., Zeadally, S., Exposito, E.: Enabling technologies for green internet of things. IEEE Syst. J. 11(2), 983–994 (2017)

    Article  Google Scholar 

  16. Anbuselvi, R.: Holistic approach for green cloud computing and environmental sustainability. Int. J. Comput. Sci. Eng. 5(3), 218--225 (2015)

    Google Scholar 

  17. Saha, B.: Green computing: current research trends. Int. J. Comput. Sci. Eng. 6(3), 467–469 (2018)

    Google Scholar 

  18. Sarkar, S., Misra, S.: Theoretical modelling of fog computing: a green computing paradigm to support IoT applications. Iet Netw. 5(2), 23–29 (2016)

    Article  Google Scholar 

  19. Toor, A., ul Islam, S., Sohail, N., Akhunzada, A., Boudjadar, J., Khattak, H.A., et al.: Energy and performance aware fog computing: a case of DVFS and green renewable energy. Futur. Gener. Comput. Syst. 101, 1112–1121 (2019)

    Article  Google Scholar 

  20. Li, J., Jin, J., Yuan, D., Zhang, H.: Virtual fog: a virtualization enabled fog computing framework for Internet of Things. IEEE Internet Things J. 5(1), 121–131 (2017)

    Article  Google Scholar 

  21. Varghese, B., Reano, C., Silla, F.: Accelerator virtualization in fog computing: moving from the cloud to the edge. IEEE Cloud Comput. 5(6), 28–37 (2018)

    Article  Google Scholar 

  22. Yannuzzi, M., van Lingen, F., Jain, A., Parellada, O.L., Flores, M.M., Carrera, D., Olive, A., et al.: A new era for cities with fog computing. IEEE Internet Comput. 21(2), 54–67 (2017)

    Article  Google Scholar 

  23. Samann, F.E.F., Zeebaree, S.R., Askar, S.: IoT provisioning QoS based on cloud and fog computing. J. Appl. Sci. Technol. Trends. 2(01), 29–40 (2021)

    Article  Google Scholar 

  24. Bansal, M., Kumar, A., Virmani, A.: Green IoT: current scenario & future prospects. J. Trends Comput. Sci. Smart Technol. (TCSST). 2(04), 173–180 (2020)

    Article  Google Scholar 

  25. Masdari, M., Khezri, H.: Efficient VM migrations using forecasting techniques in cloud computing: a comprehensive review. Clust. Comput., 1–30 (2020)

    Google Scholar 

  26. Ananth, A., Danush Venkatesh, S., Kanimozhi, G., MohanBabu, P., Senthil Arumugam, S.: IOT based street lighting control system. Int. J. Emerg. Trends Eng. Res. 8(7), 3610–3616 (2020)

    Article  Google Scholar 

  27. Jeba, J.A., Roy, S., Rashid, M.O., Atik, S.T., Whaiduzzaman, M.: Towards green cloud computing an algorithmic approach for energy minimization in cloud data centers. In: Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, pp. 846–872. IGI Global, Hershey (2021)

    Chapter  Google Scholar 

  28. Mazumdar, N., Nag, A., Singh, J.P.: Trust-based load-offloading protocol to reduce service delays in fog-computing-empowered IoT. Comput. Electr. Eng. 93, 107223 (2021)

    Article  Google Scholar 

  29. Radu, L.-D.: Green cloud computing: a literature survey. Symmetry. 9(12), 295 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of CSE, IIIT, Guwahati, India

    Sangeeta Kakati

  2. Department of IT, IIIT Allahabad, Allahabad, India

    Nabajyoti Mazumdar

  3. Department of CSE, CIT Kokrajhar, Kokrajhar, India

    Amitava Nag

Authors
  1. Sangeeta Kakati
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nabajyoti Mazumdar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Amitava Nag
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Amitava Nag .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Centre of Mobile Cloud Computing, Maulana Abul Kalam Azad University of Technology, West Bengal, Nadia, India

    Debashis De

  2. Department of Computer Science, Mahishadal Raj College Mahishadal, Purba Medinipur, West Bengal, India

    Anwesha Mukherjee

  3. Cloud Computing and Distributed Systems (CLOUDS) Laboratory School of Computing and Information Systems, The University of Melbourne, Parkville, VIC, Australia

    Rajkumar Buyya

Rights and permissions

Reprints and permissions

Copyright information

Âİ 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Kakati, S., Mazumdar, N., Nag, A. (2022). Green Cloud Computing for IoT Based Smart Applications. In: De, D., Mukherjee, A., Buyya, R. (eds) Green Mobile Cloud Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-08038-8_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-08038-8_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08037-1

  • Online ISBN: 978-3-031-08038-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation