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Mobile Cloud Computing: A Green Perspective

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Intelligent Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 185))

Abstract

Green computing is a technology that focuses mostly on finding alternative solutions (recycling) to protect the natural resources on earth like energy, etc. In this matter, it can be observed that mobile computing technologies like mist, edge, cloud, and fog computing can support this technology by providing services that help in efficient utilization of resources and reducing energy consumption. In fact, fog computing is an extended version of cloud computing, where data moves from the mist and edge devices to the cloud, passing through the fog layer, which helps in improving some cloud computing features, adding privacy, reduce latency, and location awareness, since it is closer to the end user. As a result, cloud computing can significantly reduce the utilization of resources, which helps in making the overall computing process better and green. This paper aims to highlight the areas and the extent to which the mist, edge, fog, and cloud computing technologies can support the green technology and ways to increase this support.

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References

  1. Singh, M., Sidhu, A.S.: Green computing. Int. J. Adv. Res. Comput. Sci. 7(6), 3 (2016)

    Google Scholar 

  2. Radu. L.-D.: Green cloud computing: a literature survey. Symmetry 21 (2018)

    Google Scholar 

  3. Rinkesh: Top 15 Tech Companies using green energy and how they are using it. Conserve Energy Future (2019). Available: https://www.conserve-energy-future.com/top-15-tech-companies-using-green-energy.php. Accessed 5 Dec 2019

  4. 7 Tips to Green Computing: Divi (2019). Available: https://engineering.utm.my/computing/lab/?p=1157. Accessed 5 Dec 2019

  5. Sakovich, N.: Fog computing vs. cloud computing for IoT projects. Sam solutions (2019). 10 Sept 2018. Available: https://www.sam-solutions.com/blog/fog-computing-vs-cloud-computing-for-iot-projects/. Accessed 5 Dec 2019

  6. Cisco: IoT edge and fog computing (2019). 12 July 2019. Available: https://networklessons.com/cisco/evolving-technologies/iot-edge-and-fog-computing

  7. Perez, M., Kumar, S.: A quick survey on cloud computing and associated security, mobility, and IoT issues. J. Comput. Commun. 5(12), 80–95 (2017)

    Article  Google Scholar 

  8. Bhullar, J., Mancilla, A., Nijjar, A., Teixeira, A.: The future of mobile computing in 2025 (2014). https://storify.com/mobilecomputing/the-future-of-mobilecomputing-in-2025

  9. Sarkar, S., Sudip, M.: Theoretical modelling of fog computing: a green computing paradigm to support IoT applications. Institution of Engineering and Technology (2016)

    Google Scholar 

  10. Rahman, A.: GRBF-NN based ambient aware realtime adaptive communication in DVB-S2. J. Ambient. Intell. Human Comput. 2020(12), 1–11 (2020)

    Google Scholar 

  11. Rahman, A., Dash, S., Luhanch, A.K.: Dynamic MODCOD and power allocation in DVB-S2: a hybrid intelligent approach. Telecommunication Systems (2020).

    Google Scholar 

  12. Ahmad, M., Qadir, M.A., Rahman, A., Zagrouba, R., Alhaidari, F., Ali, T., Zahid, F.: Enhanced query processing over semantic cache for cloud based relational databases. J. Ambient. Intell. Human. Comput. (2020)

    Google Scholar 

  13. Rahman, A., Dash, S., Luhanch, A.K., Chilamkurti, N., Baek, S., Nam, Y.: A neuro-fuzzy approach for user behavior classification and prediction. J. Cloud. Comp. 8(17) (2019)

    Google Scholar 

  14. Dash, S., Biswas, S., Banerjee, D., Rahman, A.: Edge and fog computing in healthcare—a review. Scalable Comput. 20(2), 191–206 (2019)

    Google Scholar 

  15. Rahman, A., Sultan, K., Das, S., Khan, M.A.: Management of resource usage in mobile cloud computing. Int. J. Pure Appl. Math. 119(16), 255–261 (2018)

    Google Scholar 

  16. Ahmad. R., Eduard, S., Kalman, G.: Fog computing with P2P: enhancing fog computing bandwidth for IoT scenarios. IEEE Green Computing and Communications (2019)

    Google Scholar 

  17. Prakash, P., Darshaun, K., Yaazhlene, P., Ganesh, M.V., Vasudha, B.: Fog computing: issues, challenges and future directions. IJECE, Coimbatore (2017)

    Google Scholar 

  18. Chen, S., Zhang, T., Weisong, S.: Fog computing. IEEE (2017)

    Google Scholar 

  19. Rad, B.B,, Shareef, A.A.: Fog computing: a short review of concept and applications. IJCSNS, p 8 (2017)

    Google Scholar 

  20. Puri, D.: Which IoT applications work best with fog computing? (2019). 7 Dec 2016. Available: https://www.networkworld.com/article/3147085/which-iot-applications-work-best-with-fog-computing.html. Accessed Dec 2019

  21. Osanaiye, O, Chen, S., Yan, Z., Lu, R., Choo, K.K.R., Dlodlo, M.: From cloud to fog computing: a review and a conceptual live VM migration framework. IEEE Access (2017)

    Google Scholar 

  22. Khan, M.A., Umer, T., Khan, S.U., Yu, S., Rachedi, A.: Energy efficiency and sustainability aware infrastructures, protocols, and applications. IEEE Access (2018)

    Google Scholar 

  23. Lowman, R.: https://semiengineering.com/how-ai-in-edge-computing-drives-5g-and-the-iot/ (2020)

  24. Dogo, E.M., Salami, A.F., Aigbavboa, C.O., Nkonyana, T.: Taking cloud computing to the extreme edge: a review of mist computing for smart cities and Industry 4.0 in Africa. In: Al-Turjman, F. (eds.) Edge Computing. EAI/Springer Innovations in Communication and Computing. Springer, Cham (2019)

    Google Scholar 

  25. Preden, J.: Evolution of mist computing from fog and cloud computing THINNECT (2014). https://www.thinnect.com/static/2016/08/cloud-fog-mist-computing-062216.pdf.

  26. Preden, J.S., Tammemae, K., Jantsch, A., Leier, M., Riid, A., Calis, E.: The benefits of self-awareness and attention in fog and mist computing. IEEE Comput. Soc. Comput. 48(7), 37–45 (2015)

    Article  Google Scholar 

  27. Ramirez, J.C.: Hardware for industrial IoT fog and mist computing. Combined print Magazine for the European Embedded Market, pp. 24–25 (2017)

    Google Scholar 

  28. Bailey-Lauring, D.: How green is cloud computing? (2016). Retrieved December 2019, from Medium. https://medium.com/@DavidB_L/how-green-is-cloud-computing-1b50cfffc746

  29. Ba, H., Heinzelman, W., Janssen, C., Shi, J.: Mobile computing—a green computing resource. IEEE wireless communications and networking conference (WCNC), Shanghai, pp 4451–4456 (2013). doi: https://doi.org/10.1109/WCNC.2013.6555295

  30. Shaikh, F.K., Zeadally, S., Exposito, E.: Enabling technologies for green internet of things. IEEE Syst. J. 99, 1–12 (2015)

    Google Scholar 

  31. Alhaidari, F., Rahman, A., Zaqrouba, R.: Cloud of things: architecture, applications and challenger. J. Ambient. Intell. Human Comput. (2020)

    Google Scholar 

  32. Rahman, A., Musleh, D., et al.: Adaptive communication for capacity enhancement: a hybrid intelligent approach. J. Comp. Theor. Nano. 15(4), 1182–1191 (2018)

    Article  Google Scholar 

  33. Afshar, A.: Edge up green computing in cloud data centers (2017)

    Google Scholar 

  34. Diouani, S., Medromi, H.: Green cloud computing: efficient energy-aware and dynamic resources management in data centers. Int. J. Adv. Comput. Sci. Appl. 9(7), 1240127 (2018)

    Google Scholar 

  35. Junaid, S., Abdullah, G., Raja, A., Abdelmutlib, I., Siddiqa, A., Kashif, N., Samee, K., Albert, Z.: Greening emerging IT technologies: techniques and practices. J. Internet Serv. Appl. 8, 9 (2017). https://doi.org/10.1186/s13174-017-0060-5

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

    Atta-ur-Rahman

  2. Department of Computer Application, North Orissa University, Baripada, Odisha, India

    Sujata Dash

  3. BIIT, PMAS Arid Agriculture University, Rawalpindi, 46000, Pakistan

    Munir Ahmad

  4. Faculty of Software Engineering, Northeastern University, Shenyang, Liaoning, China

    Tahir Iqbal

Authors
  1. Atta-ur-Rahman
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  2. Sujata Dash
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  3. Munir Ahmad
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  4. Tahir Iqbal
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Corresponding author

Correspondence to Sujata Dash .

Editor information

Editors and Affiliations

  1. School of computer and Information Sciences, University of Hyderabad, Hyderabad, Telangana, India

    Siba K. Udgata

  2. IGIT Sarang, Dhenkanal, Odisha, India

    Srinivas Sethi

  3. Institute of Computer Science, University of Tartu, Tartu, Estonia

    Satish N. Srirama

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Atta-ur-Rahman, Dash, S., Ahmad, M., Iqbal, T. (2021). Mobile Cloud Computing: A Green Perspective. In: Udgata, S.K., Sethi, S., Srirama, S.N. (eds) Intelligent Systems. Lecture Notes in Networks and Systems, vol 185. Springer, Singapore. https://doi.org/10.1007/978-981-33-6081-5_46

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