A Review of Issues and Challenges to Address the Problem of Implementing Green Computing for Sustainability

Section: Review Paper
Published
Mar 1, 2023
Pages
300-311

Abstract

In a larger sense, "green computing" refers to strategies and procedures for creating, utilizing, and disposing of computer resources in three ways: maintaining total computing performance, minimizing the impact on the environment, and maintaining overall computing performance. This entails using less dangerous materials, getting the most usage possible out of a product while using the least amount of energy possible, as well as making old items and the garbage more reusable, recyclable, and biodegradable. Many businesses are making efforts to lessen the negative effects of activities on the environment. The framework Convention on Climate Change of the United Nations (UNFCC)is a global environmental agreement whose goal is to keep greenhouse gas emissions stable to a degree that would prevent adverse anthropogenic interference with the environment. Sustainable development entails growth that doesn't jeopardize the needs of coming generations. That is achieving human development goals while protecting the ecosystems and natural resources that are essential to civilization. The relevance of green computing for sustainable development is emphasized in this paper's assessment of many significant recent studies on the subject.

References

  1. R. E. Brownet al., Report to congress on server and data center energy efficiency: Public law 109-431, Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States), techreport, 2007.
  2. M. Uddin and A. A. Rahman, Techniques to implement in green data centres to achieve energy efficiency and reduce global warming effects,International Journal of Global Warming, vol. 3, no. 4, pp. 372389, 2011.
  3. S. Agarwal and A. Nath, Green computing-a new horizon of energy efficiency and electronic waste minimization: A global perspective, in2011 International Conference on Communication Systems and Network Technologies, 2011, pp. 688693. doi: 10.1109/CSNT.2011.148.
  4. D. Wang, Meeting green computing challenges, in2008 10th Electronics Packaging Technology Conference, 2008, pp. 121126. .doi:10.1109/EPTC.2008.4763421.
  5. S. S. Mahmoud, I. Ahmad, and others, Green performance indicators for energy aware it systems: Survey and assessment,Journal of Green Engineering, vol. 3, no. 1, pp. 3369, 2012.
  6. K. Raza, V. Patle, and S. Arya, A review on green computing for eco-friendly and sustainable it,Journal of Computational Intelligence and Electronic Systems, vol. 1, no. 1, pp. 316, 2012. doi:10.1166/jcies.2012.1023.
  7. M. Uddin and A. A. Rahman, Energy efficiency and low carbon enabler green IT framework for data centers considering green metrics,Renewable and Sustainable Energy Reviews, vol. 16, no. 6, pp. 40784094, 2012. .doi:10.1016/j.rser.2012.03.014.
  8. A. H. Mozumder, Green Computing Using Green Technology, in International Conference on Glo-cal Crisis and EnvironmentalGovernance in North-Eastern Region of India, Sponsored by AUS and ONGC.2013.
  9. B. Saha, Green computing,International Journal of Computer Trends and Technology (IJCTT), vol. 14, no. 2, pp. 4650, 2014.
  10. R. Baidya, S. K. Ghosh, and B. Debnath, Analysis of parameters for green computing approach using the analytical hierarchy process, in2015 international conference on energy economics and environment (ICEEE), 2015, pp. 14,doi:10.1109/EnergyEconomics.2015.7235113
  11. S. J. Jacob, Relevance and Impact of Green Computing in IT, in INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) RTPPTDM 2015, 2015, vol. 3, no. 30.
  12. R. R. Harmon and N. Auseklis, Sustainable IT services: Assessing the impact of green computing practices, inPICMET09-2009 Portland International Conference on Management of Engineering & Technology, 2009, pp. 17071717.
  13. K. Palanivel and S. Kuppuswami, Green and energy-efficient computing architecture for e-learning, inManaging Big Data in Cloud Computing Environments, IGI Global, 2016, pp. 252277. doi: 10.4018/978-1-4666-9834-5.ch011.
  14. J. Wu, S. Guo, J. Li, and D. Zeng, Big data meet green challenges: Greening big data,IEEE Systems Journal, vol. 10, no. 3, pp. 873887, 2016.
  15. X. Jin, F. Zhang, A. V. Vasilakos, and Z. Liu, Green data centers: A survey, perspectives, and future directions,arXiv preprint arXiv:1608.00687, 2016.
  16. E. Okewu, S. Misra, R. Maskelinas, R. Damaeviius, and L. Fernandez-Sanz, Optimizing green computing awareness for environmental sustainability and economic security as a stochastic optimization problem,Sustainability, vol. 9, no. 10, p. 1857, 2017.
  17. B. A. Jnr, M. A. Majid, and A. Romli, A descriptive study towards green computing practice application for data centers in IT based industries, inMATEC web of conferences, 2018, vol. 150, p. 05048.
  18. K. G. Arora, G. Kohli and P. Ratta, "Green Computing - Trends and Challenges,"International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, vol. 4, no. 1, pp.326-329, March-April-2018.
  19. A. Abugabah and A. Abubaker, Green computing: Awareness and practices, in2018 4th International Conference on Computer and Technology Applications (ICCTA), 2018, pp. 610.
  20. S. N. Morioka, D. R. Iritani, A. R. Ometto, and M. M. de Carvalho, Systematic review of the literature on corporate sustainability performance measurement: a discussion of contributions and gaps,Gesto & Produo, vol. 25, pp. 284303, 2018. doi: http://dx.doi.org/10.1590/0104-530X2720-18
  21. N. Nkordeh and A. Akindele, Green Computing: Towards Sustainable 5G Network Deployment, Nov. 2019. [Online], Available:
  22. A. O. Ojo, M. Raman, and A. G. Downe, Toward green computing practices: A Malaysian study of green belief and attitude among Information Technology professionals,Journal of cleaner production, vol. 224, pp. 246255, 2019.
  23. A. Molla, V. Cooper, and others, Green IT readiness: A framework and preliminary proof of concept,Australasian journal of information systems, vol. 16, no. 2, 2010.
  24. M. S. Hossain, A. Jahid, K. Ziaul Islam, M. H. Alsharif, and M. F. Rahman, Multi-objective optimum design of hybrid renewable energy system for sustainable energy supply to a green cellular networks,Sustainability, vol. 12, no. 9, p. 3536, 2020. doi:10.3390/su12093536.
  25. I. Ruiz-Malln and M. Heras, What sustainability? higher education institutions pathways to reach the agenda 2030 goals,Sustainability, vol. 12, no. 4, p. 1290, 2020.doi:10.3390/su12041290.
  26. T. Palander, H. Haavikko, E. Kortelainen, and K. Krh, Comparison of energy efficiency indicators of road transportation for modeling environmental sustainability in green circular industry,Sustainability, vol. 12, no. 7, p. 2740, 2020. doi:10.3390/su12072740.
  27. F. Ahmed and R. Kha. Green Computing for reducing the Energy Dissipation, Mathematical and Computer Modelling of Dynamical Systems,[Online]. Available:http://www.ams.org/mathscinet/msc/msc2010.html
  28. Y. Jeong and J. H. Park, Security, Privacy,
  29. A. M. Walker, W. J. Vermeulen, A. Simboli, and A. Raggi, Sustainability assessment in circular inter-firm networks: An integrated framework of industrial ecology and circular supply chain management approaches,Journal of Cleaner Production, vol. 286, p. 125457, 2021. doi:https://doi.org/10.1016/j.jclepro.2020.125457
  30. N. Gholipour, E. Arianyan, and R. Buyya, A novel energy-aware resource management technique using joint VM and container consolidation approach for green computing in cloud data centers,Simulation Modelling Practice and Theory, vol. 104, p. 102127, 2020. doi: https://doi.org/10.1016/j.simpat.2020.102127
  31. S. Butt, M. Ahmadi, and M. Razavi, Green Computing: Sustainable Design and Technologies, in2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA), 2020, pp. 17. doi:10.1109/CITISIA50690.2020.9371781
  32. A. Patil, D. Patil, and others, An analysis report on green cloud computing current trends and future research challenges, 2019.
  33. Y. Deng, Z. Chen, X. Yao, S. Hassan, and A. M. Ibrahim, Parallel offloading in green and sustainable mobile edge computing for delay-constrained IoT system,IEEE Transactions on Vehicular Technology, vol. 68, no. 12, pp. 1220212214, 2019. doi:10.1109/TVT.2019.2944926.
  34. Z. Hasan, H. Boostanimehr, and V. K. Bhargava, Green cellular networks: A survey, some research issues and challenges,IEEE Communications surveys & tutorials, vol. 13, no. 4, pp. 524540, 2011.
  35. D. Sen and D. R. Chowdhury, Green computing: Efficient practices and applications,International Journal of Computer Sciences and Engineering Open Access Green Computing: Efficient Practices And Applications, 2017. doi: 10.5281/zenodo.5226613.
  36. A. Ozturket al., Green ICT (Information and Communication Technologies): a review of academic and practitioner perspectives,International Journal of eBusiness and eGovernment Studies, vol. 3, no. 1, pp. 116, 2011.
  37. B. Saha, Green computing: Current research trends,International Journal of Computer Sciences and Engineering, vol. 6, no. 3, pp. 467469, 2018.
  38. S. Saxena, A. Kumar, and R. Johri, Analytical Study of Computing in Green Environment,International Journal of Innovative Research in Engineering & Management, pp. 740742, Sep. 2017, doi: 10.21276/ijirem.2017.4.5.1.
  39. M. Uddin, J. Memon, M. Z. A. Rozan, R. Alsaqour, and A. Rehman, Virtualised load management algorithm to reduce CO2 emissions in the data centre industry,International Journal of Global Warming, vol. 7, no. 1, pp. 320, 2015, doi: 10.1504/IJGW.2015.067413.
  40. A. Molla, V. Cooper, and others, Green IT readiness: A framework and preliminary proof of concept,Australasian journal of information systems, vol. 16, no. 2, 2010. doi:10.3127/ajis.v16i2.545.
  41. S. Bhattacherjee, R. Das, S. Khatua, and S. Roy, Energy-efficient migration techniques for cloud environment: a step toward green computing,The Journal of Supercomputing, vol. 76, pp. 51925220, 2020. doi: https://doi.org/10.1007/s11227-019-02801-0.
  42. A. Ozturket al., Green ICT (Information and Communication Technologies): a review of academic and practitioner perspectives,International Journal of eBusiness and eGovernment Studies, vol. 3, no. 1, pp. 116, 2011.
  43. S. Niggeschmidt, M. Helu, N. Diaz, B. Behmann, G. Lanza, and D. Dornfeld, Integrating green and sustainability aspects into life cycle performance evaluation, 2010.
  44. R. R. Harmon, T. Daim, and D. Raffo, Roadmapping the future of sustainable IT, inPICMET 2010 TECHNOLOGY MANAGEMENT FOR GLOBAL ECONOMIC GROWTH, 2010, pp. 110.
  45. X. Zhang, L. Gong, and J. Li, Research on green computing evaluation system and method, in2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2012, pp. 11771182.
  46. S. Agarwal, S. Goswami, and A. Nath, Green computing and green technology in e-Learning, corporate, business and IT sectors,International Journal of Computer Applications, vol. 76, no. 7, 2013.
  47. and Efficiency of Sustainable Computing for
  48. doi: https://doi.org/10.3745/JIPS.03.0133.
  49. Future Smart Cities. J Inf Process Syst, vol. 16, no. 1, pp. 1-5, 2020.
  50. https://www.researchgate.net/publication/336994133
Download this PDF file

Statistics

How to Cite

[1]
T. Ahmed Khaleel and J. Abdullah kareem, “A Review of Issues and Challenges to Address the Problem of Implementing Green Computing for Sustainability”, AREJ, vol. 28, no. 1, pp. 300–311, Mar. 2023.