CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Energy Consumption in Cloud Computing

Published on February 2013 by Sanil. C. Savale, Prashant D. Londhe, Ketan G. Jogalekar
journal_cover_thumbnail

International Conference on Recent Trends in Information Technology and Computer Science 2012
Foundation of Computer Science USA
ICRTITCS2012 - Number 4
February 2013
Authors: Sanil. C. Savale, Prashant D. Londhe, Ketan G. Jogalekar
f40266e7-02fb-41c7-a286-0e64cb166b7f

Sanil. C. Savale, Prashant D. Londhe, Ketan G. Jogalekar . Energy Consumption in Cloud Computing. International Conference on Recent Trends in Information Technology and Computer Science 2012. ICRTITCS2012, 4 (February 2013), 1-5.

@article{
author = { Sanil. C. Savale, Prashant D. Londhe, Ketan G. Jogalekar },
title = { Energy Consumption in Cloud Computing },
journal = { International Conference on Recent Trends in Information Technology and Computer Science 2012 },
issue_date = { February 2013 },
volume = { ICRTITCS2012 },
number = { 4 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/icrtitcs2012/number4/10267-1361/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Information Technology and Computer Science 2012
%A Sanil. C. Savale
%A Prashant D. Londhe
%A Ketan G. Jogalekar
%T Energy Consumption in Cloud Computing
%J International Conference on Recent Trends in Information Technology and Computer Science 2012
%@ 0975-8887
%V ICRTITCS2012
%N 4
%P 1-5
%D 2013
%I International Journal of Computer Applications
Abstract

Cloud computing is emerging as a critical information communication technology to heavily impact our daily life in the future. We systematically analyze its energy consumption based on types of services and obtain the conditions to facilitate green cloud computing to save overall energy consumption in the related information communication systems. With a tremendously increasing number of mobile devices, green mobile communications would be the foundation of green cloud computing

References
  1. Energy logic:reducing data center energy consumption by creating savings that cascade across systems, 2009.
  2. H. AbdelSalam, K. Maly, R. Mukkamala, M. Zubair, and D. Kaminsky. Towards energy efficient change management in a cloud computing environment. Scalability of Networks and Services, 5637:161–166, 2009.
  3. M. Armbrust et al. Above the clouds: A berkeley view of cloud computing. Technical Report UCB/EECS-2009-28, EECS Department, University of California, Berkeley, February 2009.
  4. L. Benini, A. Bogliolo, and G. Micheli. A survey of design techniques for system-level dynamic power management. IEEE Transactions on VLSI System, 10(3):299–316, June 2000.
  5. A. Berl, E. Gelenbe, M. Girolamo, G. Giuliani, H. Meer, M. Dang, and K. Pentikousis. Energy-efficient cloud computing. The Computer Journal Advance Access, August 2009.
  6. L. Bernstein. Climate change 2007: Synthesis report. Report of the Intergovernmental Panel on Climate Change, 2007.
  7. G. Fettweis, K. Chen, and R. Tafazoli. Green radio: Energy efficiency in wireless networks. KICS/IEEE Journal of Comm. and Networks, 12(2), April 2010.
  8. J. Geelan. Twenty-one experts define cloud computing. Virtualization Journal, January 2009.
  9. J. Cohen, B. Dolan, M. Dunlap, J. M. Hellerstein, and C. Welton. Mad skills: New analysis practices for big data. PVLDB,2(2):1481–1492, 2009.
  10. B. F. Cooper, R. Ramakrishnan, U. Srivastava, A. Silberstein, P. Bohannon, H. -A. Jacobsen, N. Puz, D. Weaver, and R. Yerneni. PNUTS: Yahoo!'s hosted data serving platform. Proc. VLDB Endow. , 1(2):1277– 1288, 2008.
  11. C. Curino, E. Jones, Y. Zhang, E. Wu, and S. Madden. Relational Cloud: The Case for a Database Service. Technical Report 2010-14, CSAIL, MIT, 2010. http://hdl. handle. net/1721. 1/52606.
  12. S. Das, S. Agarwal, D. Agrawal, and A. El Abbadi. ElasTraS: An Elastic, Scalable, and Self Managing Transactional Database for the Cloud. Technical Report 2010-04, CS, UCSB, 2010.
  13. S. Das, D. Agrawal, and A. El Abbadi. ElasTraS: An Elastic Transactional Data Store in the Cloud. In USENIX HotCloud, 2009.
  14. S. Das, D. Agrawal, and A. El Abbadi. G-Store: A Scalable Data Store for Transactional Multi key Access in the Cloud. In ACM SOCC, 2010.
  15. S. Das, S. Nishimura, D. Agrawal, and A. El Abbadi. Live Database Migration for Elasticity in a Multitenant Database for Cloud Platforms. Technical Report 2010-09, CS, UCSB, 2010.
  16. S. Das, Y. Sismanis, K. Beyer, R. Gemulla, P. Haas, And J. McPherson. Ricardo: Integrating R and Hadoop. In SIGMOD,2010.
  17. J. Dean and S. Ghemawat. MapReduce: simplified data Processing on large clusters. In OSDI, pages 137–150, 2004.
  18. G. DeCandia, D. Hastorun, M. Jampani, G. Kakulapati, A. Lakshman, A. Pilchin, S. Sivasubramanian, P. Vosshall, and W. Vogels. Dynamo: Amazon's highly available key-value store. In SOSP, pages 205–220, 2007.
  19. D. J. Dewitt, S. Ghandeharizadeh, D. A. Schneider, A. Bricker, H. I. Hsiao, and R. Rasmussen. The Gamma Database Machine Project. IEEE Trans. on Knowl. And Data Eng. , 2(1):44–62, 1990.
  20. The Apache Hadoop Project. http://hadoop. apache. org/core/, 2009.
  21. P. Helland. Life beyond Distributed Transactions: An Apostate's Opinion. In CIDR, pages 132–141, 2007.
  22. D. Jacobs and S. Aulbach. Ruminations on multi-tenant databases. In BTW, pages 514–521, 2007.
  23. T. Kraska, M. Hentschel, G. Alonso, and D. Kossmann. Consistency Rationing in the Cloud: Pay only when it matters. PVLDB, 2(1):253–264, 2009.
  24. D. B. Lomet, A. Fekete, G. Weikum, and M. J. Zwilling. Unbundling transaction services in the cloud. In CIDR Perspectives, 2009.
  25. A. Pavlo, E. Paulson, A. Rasin, D. J. Abadi, D. J. DeWitt, S. Madden, and M. Stonebraker. A comparison of approaches to large-scale data analysis. In SIGMOD, pages 165–178, 2009.
  26. B. Reinwald. Database support for multi-tenant applications. In IEEE Workshop on Information and Software as Services, 2010.
  27. J. B. Rothnie Jr. , P. A. Bernstein, S. Fox, N. Goodman, M. Hammer, T. A. Landers, C. L. Reeve, D. W. Shipman, and E. Wong. Introduction to a System for Distributed Databases (SDD-1). ACM Trans. Database Syst. , 5(1):1–17, 1980.
  28. A. Thusoo, J. S. Sarma, N. Jain, Z. Shao, P. Chakka, S. Anthony, H. Liu, P. Wyckoff, and R. Murthy. Hive – A Warehousing Solution Over a Map-Reduce Framework. PVLDB, 2(2):1626–1629, 2009.
  29. H. T. Vo, C. Chen, and B. C. Ooi. Towards elastic transactional cloud storage with range query support. PVLDB, 3(1):506–517, 2010.
  30. W. Vogels. Data access patterns in the amazon. com Technology platform. In VLDB, pages 1–1. VLDB Endowment, 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Energy Cloud