Journal Press India^®

Author Details ( * ) denotes Corresponding author

By providing numerous services through the internet and utilizing a variety of resources, cloud computing is a solution to diverse computational difficulties. Problems with energy use and carbon emissions are constant in the IT sector. Datacenters are an essential component of cloud computing. Because of this, there is a growing desire to open more and more datacenters. The greater power consumption at data centres raises the costs on an economic and environmental level. Additionally, the greenhouse effect and carbon footprint have increased due to the increasing release of CO2 and other gases. These are the forces driving the development of green computing. This paper provides a quick insight to cloud computing, associated pertinent research, and several strategies for using green computing. To ensure that the current energy resources are used for our future generations as well as to preserve the environmental balance by reducing carbon emissions, measurement, modelling, and prediction of the energy consumed by various organizations are required. In this work, various research concerns about the application of green computing are elaborated, along with potential answers.

Keywords

Futuristic approach; Recycling; Voice over internet protocol (VoIP); Server virtualization; Green cloud computing; Dynamic migration algorithm (DMA); Energy management

1. Kord, Negin, and Hassan Haghighi. “An energy-efficient approach for virtual machine placement in cloud based data centers.” Information and Knowledge Technology (IKT), 2013 5th Conference on. IEEE, 2013.


2. A. Kumar, V. Jain and A. Yadav, “A New Approach for Security in Cloud Data Storage for IOT Applications Using Hybrid Cryptography Technique,” 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), 2020, pp. 514-517, doi: 10.1109/PARC49193.2020.236666.


3. Bansal S, and V. K. Tomar. “Cloud Computing, Exigency, Issues, Solutions: A survey.” IOP Conference Series: Materials Science and Engineering. Vol. 1116. No. 1. IOP Publishing, 2021.


4. Quesnel, Flavien, Hemant Kumar Mehta, and Jean-Marc Menaud. “Estimating the power consumption of an idle virtual machine.” Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing. IEEE, 2013.


5. Cavdar, D.; Alagoz, F., “A survey of research on greening data centers,” 2012 IEEE Global Communications Conference (GLOBECOM), 3-7 Dec. 2012, pp.3237-3242.


6. Wei Deng; Fangming Liu; Hai Jin; Bo Li; Dan Li, “Harnessing renewable energy in cloud datacenters: opportunities and challenges,” Network, IEEE , vol.28, no.1, January-February 2014, pp.48,55.


7. Tian, Y.; Lin, C.; Chen, Z.; Wan, J.; Peng, X., “Performance evaluation and dynamic optimization of speed scaling on web servers in cloud computing,” Tsinghua Science and Technology , vol.18, no.3, June 2013, pp.298-307.


8. Marta Chinnici, Andrea Quintiliani: “An example of methodology to assess energy efficiency improvements in datacenters.” in 2013 IEEE third international conference on cloud and green computing.


9. Yamini, B.; Selvi, D.V., “Cloud virtualization: A potential way to reduce global warming,” Recent Advances in Space Technology Services and Climate Change (RSTSCC), 13-15 Nov. 2010, pp.55-57.


10. Muhammad Anan, Nidal Naseer: “SLA- based optimization of energy efficiency for green cloud computing,” 2015 IEEE.


11. S. Usmin, M. Arockia Irudayaraja, U. Muthaiah: “Dynamic placement of virtualized resources for data centers in cloud” june 2014 IEEE.


12. Kord, Negin, and Hassan Haghighi. “An energy-efficient approach for virtual machine placement in cloud based data centers.” Information and Knowledge Technology (IKT), 2013 5th Conference on. IEEE, 2013.


13. R.Yamini: “Power Management in Cloud Computing Using Green Algorithm,” in IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012) March 30, 31, 2012.


14. Fahimeh Farahnakian, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen: “Hierarchical VM Management Architecture for Cloud Data Centers,” in 2014 IEEE 6th International Conference on Cloud Computing Technology and Science.