Novel Approach for Green Cloud Data Center Using IoT Sensor DeviceAuthor : Debabrata Sarddar, Gourab Dutta and Rajat Pandit
Volume 8 No.2 April-June 2019 pp 9-12
Cloud computing provides all the basic level of computing facility to complete the daily needs of a general or public community. In this paper, we concerned about the topic of carbon dioxide and carbon monoxide emission from cloud computing and its environmental effects and how to control it. Due to global warming and greenhouse effect, increasing the temperature of the environment day by day. In this paper, we concerned about how to control the problem of carbon dioxide and carbon monoxide emission from the cloud data center and also try to reduce the reaction cost. We use carbon dioxide and carbon monoxide measuring sensor Internet of Things (IoT) device and a chamber which contain solid sodium hydroxide at 130 °C and 6-8 bar pressure. We set one predefined threshold value into the IoT sensor and when the carbon dioxide and carbon monoxide increase then the value of IoT sensor also increase from predefined threshold value then only the chamber open automatically which contain solid sodium hydroxide at 130 °C and 6-8 bar pressure. Then the reaction occur and produce sodium formate after the reaction with carbon monoxide and also produce sodium carbonate after the reaction with carbon dioxide. Again after the reaction when the IoT sensor value will decrease from predefined threshold value than the chamber automatically closed. In this way, we reduce the problem of carbon emission of the cloud data center and also reduce the reaction cost i.e. reaction occurs when needed.
Cloud Computing, Greenhouse gases, Environment Pollution, IoT sensors, Greenhouse Effect
 D. Chaudhary, S. P. Nayse, L. M. Waghmare, “Application of wireless sensor network for greenhouse parameter in precision agriculture”, International Journal of Wireless & Mobile Networks, Vol. 3, No. 1, pp. 140-149, Feb. 2011.
 R. Belsare, K. Deshmukh, M. Patil, Prof. Hattarge A.M., “Smart Greenhouse Automation”, International Journal of Computer Science & Engineering Technology, Vol. 5, No. 12, pp. 1127-1129, Dec. 2014.
 D. Sarddar, G. Dutta, R. Pandit, P. Sen, “A Proposed Model to Control the Environmental Pollution due to Carbon Emission from Cloud Data Center”, International Journal of Research in Electronics and Computer Engineering, Vol. 7, No. 1, pp. 71-74, Jan-March. 2019.
 A. Uchechukwu, K. Li, Y. Shen, “Energy Consumption in Cloud Computing Data Centers”, International Journal of Cloud Computing and Services Science, Vol. 3, No. 3, pp. 31-48, June 2014.
 S. D. Bhagwat, A. I. Hulloli, S. B. Patil, A. A. Khan, A. S. Kamble, “Smart Greenhouse using IOT and Cloud Computing”, International Research Journal of Engineering and Technology, Vol. 5, No. 3, pp. 2330-2333, Mar. 2018.
 K. V. G. N. Kodandaramaiah, “Cloud IoT Based Greenhouse Monitoring System”, Keerthi.v, Int. Journal of Engineering Research and Applications, Vol. 5, No. 10, pp. 35-41, Oct. 2015.
 M. Arif, T. Mahmood, “Cloud Computing and its Environmental Effects”, International Journal of Grid Distribution Computing, Vol. 8, No. 1, pp. 279-286, 2015.
 F. Chen, J. Schneider, Y. Yang, J. Grundy and Q. He, “An energy consumption model and analysis tool for Cloud computing environments” 2012 First International Workshop on Green and Sustainable Software (GREENS), pp. 102–107, June 2012.
 M. Soliman, T. Abiodun, T. Hamouda, J. Zhou, C. H. Lung, “Smart Home: Integrating Internet of Things with Web Services and Cloud Computing”, In Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference, Vol. 2, pp. 317–320, Dec. 2013.
 J.-Y. Son, et al., “Resource-aware smart home management system by constructing resource relation graph,” IEEE Trans. On Consumer Electronics, vol. 57, No. 3, pp. 1112–1119, Aug. 2011.
 R. Belsare, K. Deshmukh, M. Patil, H. A. M., “Smart Greenhouse Automation” International Journal of Computer Science & Engineering Technology, Vol. 5, No. 12, pp. 1127-1129, Dec. 2014.
 A. J. Younge, G. Laszewski, L. Wang, S. L. Alarcon, and W. Carithers, “Effcient Resource Management for Cloud Computing Environments,” Proc. IEEE Int’l Green Computing Conf. (IGCC ’10), pp. 357-364, Aug. 2010.
 BONE project, “WP 21 Tropical Project Green Optical Networks: Report on year 1 and unpdate plan for activities”, No. FP7-ICT-2007- 1216863 BONE project, Dec. 2009.
 J. Koomey, “Estimating Total Power Consumption by Server in the U.S and the World”, Lawrence Berkeley National Laboratory, Stanford University, pp. 1-31, 2007.
 J. Toress, “Green Computing, The next wave in computing”, Jordi Torres, In Ed. UPC Technical University of Catalonia, Barcelona, 2010.
 P. Kogge, “The Tops in Flops”, pp. 49-54, IEEE Spectrum, Feb. 2011.