CFP last date
20 January 2025
Reseach Article

Application Placement and Load Balancing of Internet Application in Cloud Computing Services

by S. R. Mete, B. M. Patil
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 145 - Number 14
Year of Publication: 2016
Authors: S. R. Mete, B. M. Patil
10.5120/ijca2016910840

S. R. Mete, B. M. Patil . Application Placement and Load Balancing of Internet Application in Cloud Computing Services. International Journal of Computer Applications. 145, 14 ( Jul 2016), 7-10. DOI=10.5120/ijca2016910840

@article{ 10.5120/ijca2016910840,
author = { S. R. Mete, B. M. Patil },
title = { Application Placement and Load Balancing of Internet Application in Cloud Computing Services },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 145 },
number = { 14 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume145/number14/25344-2016910840/ },
doi = { 10.5120/ijca2016910840 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:48:48.482108+05:30
%A S. R. Mete
%A B. M. Patil
%T Application Placement and Load Balancing of Internet Application in Cloud Computing Services
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 14
%P 7-10
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automatic scaling is useful in the internet applications in which the cloud service provider provide the services to resource usage and resources scaled up and down automatically. Automatic scaling provides the scaling of internet application in cloud environment. System calculates the fault isolation using virtualization technology. In this system, it uses the Class Constraint Bin Packing (CCBP) algorithm and semi online color set algorithm which saves the energy by reducing server and gives the good satisfaction ratio.

References
  1. Amazon Elastic Compute Cloud (Amazon EC2). http://aws.amazon.com/ec2/. Accessed on May 10, 2012.
  2. A. Cohen, S. Rangarajan, and H. Slye, “On the performance of tcp splicing for url-aware redirection,” in Proc. 2nd Conf. USENIX Symp. Internet Technol. Syst., 1999, p. 11.
  3. H. Shachnai and T. Tamir, “Tight bounds for online classconstrained packing,” Theor. Comput. Sci., vol. 321, no. 1, pp. 103–123, 2004.
  4. C. Chekuri and S. Khanna, “On multidimensional packing problems,” SIAM J. Comput., vol. 33, no. 1, pp. 837–851, 2004.
  5. C. Zhang, V. Lesser, and P. Shenoy, “A multi-agent learning approach to online distributed resource allocation,” in Proc. Int. Joint Conf. Artif. Intell. (IJCAI’09), 2009, pp. 361–366.
  6. E. Caron, L. Rodero-Merino, F. Desprez, and A.Muresan, “Autoscaling, load balancing and monitoring in commercial and opensource clouds,” INRIA, Rapport de recherche RR-7857, Feb. 2012.
  7. Google App Engine. http://code.google.com/appengine/. Accessed on May 10, 2012.
  8. M. Armbrust et al., “Above the clouds: A Berkeley view of cloud computing,” EECS Depart., Univ. California, Berkeley, CA, Tech. Rep. UCB/EECS-2009–28, Feb. 2009.
  9. L. Siegele, “Let it rise: A special report on corporate IT,” in The Economist, London, U.K.: London Economist Newspaper, Oct. 2008, vol. 389, pp. 3–16.
  10. J. S. Chase, D. C. Anderson, P. N. Thakar, A. M. Vahdat, and R. P. Doyle, “Managing energy and server resources in hosting centers,” in Proc. ACM Symp. Oper. Syst. Princ. (SOSP’01), Oct. 2001, pp. 103–116.
  11. P. Barham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R. Neugebauer, I. Pratt, and A. Warfield, “Xen and the art of virtualization,” in Proc. ACM Symp. Oper. Syst. Princ. (SOSP’03), Oct. 2003, pp. 164–177.
  12. M. McNett, D. Gupta, A. Vahdat, and G. M. Voelker, “Usher: An extensible framework for managing clusters of virtual machines,” in Proc. Large Install. Syst. Admin. Conf. (LISA’07), Nov. 2007, pp. 1–15.
  13. J. Zhu, Z. Jiang, Z. Xiao, and X. Li, “Optimizing the performance of virtual machine synchronization for fault tolerance,” IEEE Trans. Comput., vol. 60, no. 12, pp. 1718–1729, Dec. 2011.
  14. RUBiS: Rice University Bidding System. http://rubis.ow2.org/. Accessed on May 10, 2012.
  15. Linux Documentation. Available online at: http://www.kernel.org/doc/documentation/power/states.txt. Accessed on May 10, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing CCBP auto scaling fault isolation