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Reseach Article

Impact of Energy-Efficient and Eco-Friendly Green Computing

by Shivangi Sharma, Gaurav Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 143 - Number 7
Year of Publication: 2016
Authors: Shivangi Sharma, Gaurav Sharma
10.5120/ijca2016910250

Shivangi Sharma, Gaurav Sharma . Impact of Energy-Efficient and Eco-Friendly Green Computing. International Journal of Computer Applications. 143, 7 ( Jun 2016), 20-28. DOI=10.5120/ijca2016910250

@article{ 10.5120/ijca2016910250,
author = { Shivangi Sharma, Gaurav Sharma },
title = { Impact of Energy-Efficient and Eco-Friendly Green Computing },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2016 },
volume = { 143 },
number = { 7 },
month = { Jun },
year = { 2016 },
issn = { 0975-8887 },
pages = { 20-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume143/number7/25089-2016910250/ },
doi = { 10.5120/ijca2016910250 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:45:43.519134+05:30
%A Shivangi Sharma
%A Gaurav Sharma
%T Impact of Energy-Efficient and Eco-Friendly Green Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 143
%N 7
%P 20-28
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the abrupt advancement in technology, every business organization aspires to migrate to cloud. The technology of cloud computing makes use of the huge data centers that present multiple issues such as extensive amounts of energy consumption, dissipation of lots of heat and methane, carbon dioxide, etc. like deadly green-house compounds and gases. In order to solve all the above stated issues of cloud computing, green computing came out as an improvement over the conventional cloud technology with energy-efficiency, security and environmental-friendliness. The two of the Linear power model and the Low Powerblade model are the existing ones, which employ four Virtual Machine scheduling algorithms for the calculation of consumption of power, are not very eco-friendly and energy efficient. These limitations of the two power models call for the requirement of a better and more efficient power model. Therefore, the research work is motivated to devise such a power model that ensures energy-efficient results and proves it environment-friendly when applied on the data centers in a secure way when compared with the two existing power models on the GreenCloud Simulator.

References
  1. Vinay P. Viradia, Chintan M. Bhatt and Hardik S. Jayswal, ‘Green Cloud: Implementation and Adoption of Green Data Center’, Proceedings of the Second International Conference on “Emerging Research in Computing, Information, Communication and Applications” ERCICA 2014, Elsevier, July 2014, pp. 163-167, DOI: 10.13140/2.1.1043.2962
  2. Jayant Baliga, Robert W. A. Ayre, Kerry Hinton, and Rodney S. Tucker, ‘Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport’ , Proceedings of the IEEE, vol.1, January 2011, pp. 149-167, DOI: 10.1109/JPROC.2010.2060451
  3. Anup R. Nimje, V. T. Gaikwad and H. N. Datir, “Green Cloud Computing: A Virtualized Security Framework for Green Cloud Computing”, International Journal of Advanced Research in Computer Science and Software Engineering, vol. 3, Issue 4, pp. 642-646, April 2013, http://www.ijarcsse.com/docs/papers/Volume_3/4_April2013/V3I4-0125.pdf
  4. Saurabh Kumar Garg and Rajkumar Buyya, ‘Green Cloud computing and Environmental Sustainability’, Cloud computing and Distributed Systems (CLOUDS) Laboratory, 2011, www.cloudbus.org/papers/Cloud-EnvSustainability2011.pdf
  5. Chao-Tung Yang, Kuan-Chieh Wang, Hsiang-Yao Cheng, Cheng-Ta Kuo and Ching-Hsien Hsu,” Implementation of a Green Power Management Algorithm for Virtual Machines on Cloud Computing”, Springer-Verlag Berlin Heidelberg 2011, UIC 2011, LNCS 6905, pp. 280–294, 2011, http://link.springer.com/chapter/10.1007/978-3-642-23641-9_24
  6. Shivangi Sharma and Gaurav Sharma, ‘A Review on Secure and Energy Efficient Approaches for Green Computing’, International Journal of Computer Applications, Volume 138, No.11, March 2016, pp. 25-32, DOI: 10.5120/ijca2016909044
  7. Shalabh Agarwal and Asoke Nath, ‘“Green Computing - a new Horizon of Energy Efficiency and Electronic waste minimization”: a Global Perspective’, 2011 International Conference on Communication Systems and Network Technologies, July 2011, pp. 688-693, DOI: 10.1109/CSNT.2011.148
  8. Wanneng Shu, Wei Wang and Yunji Wang, ‘A novel energy-efficient resource allocation algorithm based on immune clonal optimization for green cloud computing’, EURASIP Journal on Wireless Communications and Networking 2014, SpringerOpen, 23 April 2014, doi:10.1186/1687-1499-2014-64
  9. Wei-Tek Tsai, Xin Sun and Janaka Balasooriya, "Service-Oriented Cloud Computing Architecture", ITNG, 2010, Seventh International Conference on Information Technology: New Generations (ITNG 2010), 2010, pp. 684-689, http://doi.ieeecomputersociety.org/10.1109/ITNG.2010.214
  10. Si-Yuan Jing, Shahzad Ali, Kun She and Yi Zhong, ‘State-of-the-art research study for green cloud computing’, Springer Science+Business Media, LLC 2011, Dec 8, 2011, DOI 10.1007/s11227-011-0722-1
  11. Guilherme Arthur Geronimo, Jorge Werner, Rafael Weingartner, Carlos Becker Westphall, and Carla Merkle Westphall, ‘Provisioning, Resource Allocation, and DVFS in Green Clouds’, International Journal on Advances in Networks and Services, vol. 7 no 1 & 2, July 2014, pp. 108-117, DOI: 10.1109/LANOMS.2011.6102263
  12. Yuxiang Shi, Xiaohong Jiang and Kejiang Ye, “An Energy-Efficient Scheme for Cloud Resource Provisioning Based on CloudSim”, in proceedings of the IEEE International Conference on Cluster Computing, pp.595-599,2011, http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6061156
  13. Jaspreet Kaur, Manpreet Kaur and Sahil Vashist, ‘Virtual Machine Migration in Cloud Datacenters’, International Journal of Advanced Research in Computer Science and Software Engineering 4(8), August - 2014, pp. 190-193, http://www.ijarcsse.com/docs/papers/Volume_4/8_August2014/V4I8-0331.pdf
  14. Arindam Banerjee, Prateek Agrawal and N. Ch. S. N. Iyengar”, Energy Efficiency Model for Cloud Computing,” International Journal of Energy, Information and Communications, vol. 3, Issue 6, pp.29-42, 2013,
  15. http://www.sersc.org/journals/IJEIC/vol4_Is6/4.pdf
  16. S.C. Rachana, H.S. Guruprasad,” Emerging Security Issues and Challenges in Cloud Computing”, International Journal of Engineering Science and Innovative Technology, vol. 3, Issue 2, March 2014, www.ijesit.com/Volume3/Issue2/IJESIT201402_62.pdf
  17. Kim Khoa Nguyen and Mohamed Cheriet, ‘Environment-aware Virtual Slice Provisioning in Green Cloud Environment’, Article in IEEE Transactions on Services Computing, May 2015, pp. 1-14, http://dx.doi.org/10.1109/TSC.2014.2362544
  18. Saurabh Kumar Garg, Chee Shin Yeo and Rajkumar Buyya, “Green Cloud Framework For Improving Carbon Efficiency of Clouds”, January 2011, http://link.springer.com/chapter/10.1007/978-3-642-23400-2_45?no-access=true
  19. Chiranjeeb Roy Chowdhury, Arindam Chatterjee, Alap Sardar, Shalabh Agarwal and Asoke Nath, ‘A Comprehensive study on Cloud Green Computing: To Reduce Carbon Footprints Using Clouds’, International Journal of Advanced Computer Research, Mar 2013, pp. 1-9
  20. Mueen Uddin, Muhammad Talha, Azizah Abdul Rahman, Asadullah Shah, Jameel Ahmed Khader and Jamshed Memon”, Green Information Technology (IT) framework for energy efficient data centers using virtualization,” International Journal of Physical Sciences (IJPS), vol. 7(13), pp. 2052 - 2065, 23 March 2012,
  21. http://www.academicjournals.org/article/article1380553649_Uddin%20et%20al.pdf
  22. Mueen Uddin and Azizah Abdul Rahman, ‘Energy efficiency and low carbon enabler green IT framework for data centers considering green metrics’, Renewable and Sustainable Energy Reviews 16 (2012) , Elsevier, pp. 4078– 4094, doi:10.1016/j.rser.2012.03.014
  23. Chunsheng Zhu, Victor C. M. Leung, Lei Shu and Edith C.-H. Ngai, ‘Green Internet of Things for Smart World’ , Article in IEEE Access, vol.3, 2015, pp. 2151- 2162, DOI: 10.1109/ACCESS.2015.2497312
  24. Amlan Deep Borah, Deboraj Muchahary, Sandeep Kumar Singh and Janmoni Borah, ‘Power Saving Strategies in Green Cloud Computing Systems’, International Journal of Grid Distribution Computing Vol.8, No.1 (2015), Feb 2015, pp.299-306, DOI: 10.14257/ijgdc.2015.8.1.28
  25. Robert R. Harmon and Nora Auseklis, ‘Sustainable IT Services: Assessing the Impact of Green Computing Practices’, PICMET 2009 Proceedings, Portland, Oregon USA, August 2-6, 2009, pp.1707-1717
  26. Pushtikant Malviya and Shailendra Singh,’’ A Study about Green Computing”, International Journal of Advanced Research in Computer Science and Software Engineering, vol. 3, Issue 6, pp. 790-794, June 2013, http://www.ijarcsse.com/docs/papers/Volume_3/6_June2013/V3I6-0320.pdf
  27. Rajkumar Buyya, Anton Beloglazov and Jemal Abawajy, ‘Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges’, June 2010, http://www.cloudbus.org/papers/GreenCloud2010.pdf
  28. Mingfu Li, Jingping Bi and Zhongcheng Li, ‘Improving consolidation of virtual machine based on virtual switching overhead estimation’, Journal of Network and Computer Applications 59 , Elsevier, July 22, 2015, http://dx.doi.org/10.1016/j.jnca.2015.07.008
  29. Akhil Goyal and Navdeep S. Chahal, ‘A Proposed Approach for Efficient Energy Utilization in Cloud Data Center’, International Journal of Computer Applications, Volume 115 – No. 11, April 2015, pp.24-27, DOI: 10.5120/20197-2439
  30. Rohit Narang, Kamal Kumar Sharma and Sharad Chauhan, ‘An Energy Efficient Model For Green Computing’, International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume 3 Issue XI, November 2015, pp. 490-498, http://www.ijraset.com/archive-detail.php?AID=35
  31. Dzmitry Kliazovich, Pascal Bouvry and Samee Ullah Khan”, GreenCloud: a packet-level simulator of energy-aware cloud computing data centers,” Springer Science+Business Media, LLC 2010, DOI 10.1007/s11227-010-0504-1
  32. Saleh Atiewi, Salman Yussof and Mohd Ezanee, ‘A Comparative Analysis of Task Scheduling Algorithms of Virtual Machines in Cloud Environment’, Journal of Computer Sciences 2015, 11 (6), pp. 804-812, DOI: 10.3844/jcssp.2015.804.812
  33. Lena Mashayekhy, Mahyar Movahed Nejad and Daniel Grosu, ‘Physical Machine Resource Management in Clouds: A Mechanism Design Approach’ , Article in IEEE Transactions on cloud computing , July 2015, pp.1-14, DOI: 10.1109/TCC.2014.2369419
  34. Tharam Dillon, Chen Wu and Elizabeth Chang, ‘Cloud Computing: Issues and Challenges’ , 2010 24th IEEE International Conference on Advanced Information Networking and Applications, pp.27-33, DOI 10.1109/AINA.2010.187
  35. Md. Faizul Bari, Raouf Boutaba, Rafael Esteves, Lisandro Zambenedetti Granville, Maxim Podlesny, Md Golam Rabbani, Qi Zhang and Mohamed Faten Zhani, ‘Data Center Network Virtualization: A Survey’ , IEEE Communications Surveys & Tutorials, Vol. 15, No. 2, Second Quarter 2013, pp. 909-928, DOI: 10.1109/SURV.2012.090512.00043
  36. Anuj Prasher and Rajkumari Bhatia,” A Review On Energy Efficient Cloud Computing Algorithms”, International Journal of Application or Innovation in Engineering & Management (IJAIEM), vol. 3, Issue 4, April 2014, http://www.ijaiem.org/volume3issue4/IJAIEM-2014-04-30-107.pdf
  37. Doshi Chintan Ketankumar, Gaurav Verma and K. Chandrasekaran, ‘A Green Mechanism Design Approach to Automate Resource Procurement in Cloud’, Eleventh International Multi-Conference on Information Processing-2015 (IMCIP-2015), ScienceDirect, Procedia Computer Science 54 (2015), Dec 2015 , pp. 108 – 117, DOI: 10.1016/j.procs.2015.06.013
  38. Anton Beloglazov and Rajkumar Buyya, ‘Energy Efficient Resource Management in Virtualized Cloud Data Centers’, 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, 2010, pp. 826-831, DOI 10.1109/CCGRID.2010.46
Index Terms

Computer Science
Information Sciences

Keywords

Green Computing Power models Scheduling algorithms GreenCloud Simulator Energy efficiency Virtualization Virtual Machine Migration Load Balancing Server Consolidation.