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Reseach Article

Recent Trends towards Green Clouds by using Fuzzy based Live Migration

by Amrinder Kaur, Anil Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 3
Year of Publication: 2015
Authors: Amrinder Kaur, Anil Kumar
10.5120/19806-1597

Amrinder Kaur, Anil Kumar . Recent Trends towards Green Clouds by using Fuzzy based Live Migration. International Journal of Computer Applications. 113, 3 ( March 2015), 17-22. DOI=10.5120/19806-1597

@article{ 10.5120/19806-1597,
author = { Amrinder Kaur, Anil Kumar },
title = { Recent Trends towards Green Clouds by using Fuzzy based Live Migration },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 3 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number3/19806-1597/ },
doi = { 10.5120/19806-1597 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:50:00.537820+05:30
%A Amrinder Kaur
%A Anil Kumar
%T Recent Trends towards Green Clouds by using Fuzzy based Live Migration
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 3
%P 17-22
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is just a new field in Web computing that provides novel views in internetworking systems and improves problems in the architecture, style, and implementation of present communities and knowledge centers. It is the Internet based computing where essential shared servers provide software, infrastructure, platform, devices and other resources and offering to customers on a pay-as-you-use basis. It is often said that the cloud computing is a type of computing where scalable, flexible, and supple IT abilities are provided as a service to multiple customers. This paper presents a review on cloud computing. The overall objective of this work is to evaluate the gaps in earlier work in cloud computing and finding the suitable solution for the same.

References
  1. Buyya, Rajkumar, Anton Beloglazov, and Jemal Abawajy. "Energy-efficient management of data center resources for cloud computing: A vision, architectural elements, and open challenges. " arXiv preprint arXiv:1006. 0308 (2010).
  2. Baliga, Jayant, Robert WA Ayre, Kerry Hinton, and RodneyS Tucker. "Green cloud computing: Balancing energy in processing, storage, and transport. " Proceedings of the IEEE 99, no. 1 (2011): 149-167.
  3. Moreno, Ismael Solis, and Jie Xu. "Customer-aware resource over allocation to improve energy efficiency in real-time cloud computing data centers. " In Service-Oriented Computing and Applications (SOCA), 2011 IEEE International Conference on, pp. 1-8. IEEE, 2011.
  4. Sarji, I. , C. Ghali, A. Chehab, and A. Kayssi. "CloudESE: Energy efficiency model for cloud computing environments. " In Energy Aware Computing (ICEAC), 2011 International Conference on, pp. 1-6. IEEE, 2011.
  5. Owusu, Francis, and Colin Pattinson. "The current state of understanding of the energy efficiency of cloud computing. " In Trust, Security and Privacy in Computing and Communications (TrustCom), 2012 IEEE 11th International Conference on, pp. 1948-1953. IEEE, 2012.
  6. Keville, Kurt L. , Rohan Garg, David J. Yates, Kapil Arya, and Gene Cooperman. "Towards Fault-Tolerant Energy-Efficient High Performance Computing in the Cloud. " In Cluster Computing (CLUSTER), 2012 IEEE International Conference on, pp. 622-626. IEEE, 2012.
  7. Xiaoli, Wang, and Liu Zhanghui. "An energy-aware VMs placement algorithm in Cloud Computing environment. " In Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on, pp. 627-630. IEEE, 2012.
  8. Tucker, Rodney S. , Kerry Hinton, and Rob Ayre. "Energy efficiency in cloud computing and optical networking. " In European Conference and Exhibition on Optical Communication, pp. Th-1. Optical Society of America, 2012.
  9. Knauth, Thomas, and Christof Fetzer. "Energy-aware scheduling for infrastructure clouds. " In Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on, pp. 58-65. IEEE, 2012.
  10. Das, Amit Kumar, Tamal Adhikary, Md Abdur Razzaque, and Choong Seon Hong. "An intelligent approach for virtual machine and QoS provisioning in cloud computing. " In Information Networking (ICOIN), 2013 International Conference on, pp. 462-467. IEEE, 2013.
  11. Adhikary, Tamal, Amit Kumar Das, Md Razzaque, and A. M. Sarkar. "Energy-Efficient Scheduling Algorithms for Data Center Resources in Cloud Computing. " In High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), 2013 IEEE 10th International Conference on, pp. 1715-1720. IEEE, 2013
  12. Kord, Negin, and Hassan Haghighi. "An energy-efficient approach for virtual machine placement in cloud based data centers. " In Information and Knowledge Technology (IKT), 2013 5th Conference on, pp. 44-49. IEEE, 2013.
  13. Arthi, T. , and H. S. Hamead. "Energy aware cloud service provisioning approach for green computing environment. " In Energy Efficient Technologies for Sustainability (ICEETS), 2013 International Conference on, pp. 139-144. IEEE, 2013.
  14. Barbulescu, Mihai, Ramona-Oana Grigoriu, Giorgian Neculoiu, Ionela Halcu, Virginia Cristiana Sandulescu, Oana Niculescu-Faida, Mariana Marinescu, and Viorel Marinescu. "Energy efficiency in cloud computing and distributed systems. " In Networking in Education and Research, 2013 RoEduNet International Conference 12th Edition, pp. 1-5. IEEE, 2013.
  15. Kaur, Manjot, and Prabhdeep Singh. "Energy efficient Green Cloud: Underlying structure. " In Energy Efficient Technologies for Sustainability (ICEETS), 2013 International Conference on, pp. 207-212. IEEE, 2013.
  16. Wu, Kehe, Ruo Du, Long Chen, and Su Yan. "An Energy-Saving Virtual-Machine Scheduling Algorithm of Cloud Computing System. " In Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on, pp. 219-224. IEEE, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Energy Efficiency