A Review on Content Delivery Network for Efficient Cloud Storage

Authors

  • Jagdish Belsare  M.Tech Scholar, Department of Computer Science and Engineering, Abha Gaikwad Patil College of Engineering, Nagpur, Maharashtra, India
  • Prof. Pragati Patil  Assistant Professor, Department of Computer Science and Engineering, Abha Gaikwad Patil College of Engineering, Nagpur, Maharashtra, India

Keywords:

Content Delivery Network, Cloud Storage, Recommendation system, Load Balancing

Abstract

By this, I want to suggest that the content control is a big technique in the network model of the Internet, which is called a Content distribution network. The CDN's architecture and implementation should ensure that they are delivering optimum quality of services (QoS). A paper I've written aims to brief the taxonomy of the CDN and will include a general summary. Many of the more recent advancements in hungry apps for smartphones and smart devices call for more effective and secure content distribution methods, regardless of the bottleneck constraints that result in a cloud overhaul of the entire CDN architecture as the CCDN or a new CCDN business model. Through talking about the problems for CCDNs along with the evolved architecture, the paper explores how to build one's own CCDN.

References

  1. M. Cha, H. Kwak, P. Rodriguez, Y. Ahn, and S. Moon,“I tube, you tube, everybody tubes: Analyzing the worlds largest user generated content video system”, in Proc. ACM SIGCOMM, pp. 114, 2007.
  2. F. Chen, K. Guo, J. Lin, and T. La Porta, “Intra-cloud lightning: Building CDNs inthe cloud”, in Proc. IEEE Int. Conf. Comput.Commun., pp. 433-441, Mar. 2012.
  3. A. Datta, K. Dutta, H. Thomas, D.Vander Meer and K.Ramamritham, “Proxy-based acceleration of dynamically generated content on the world wide web:An approach and implementation”, ACM Trans. Database Syst., vol. 29, no. 2, pp. 403-443, 2004.
  4. H. Liu, Y.Wang, Y. Yang, A. Tian, and H.Wang, “Optimizing cost and performance for content multihoming”, in Proc. ACM SIGCOMM, pp. 371-382, 2012.
  5. I. Poese, B. Frank, B. Ager, G. Smaragdakis, and A. Feldmann, “Improving content delivery using provider-aided distance information systems”, in Proc. ACM Internet Meas. Conf., pp. 22-34, 2010.
  6. S. Scellato, C. Mascolo, M. Musolesi, and J. Crowcroft, “Track globally, deliver locally: Improving content delivery networks by tracking geographic social cascades”, in Proc. ACM Int. Conf. Multimedia, pp. 457-466, 2011.
  7. G. Szabo and B. A. Huberman, “Predicting the popularity of online content”, Commun. ACM, vol. 53, no. 8, pp. 80-88, 2010.
  8. Z. Wang, L. Sun, X. Chen, W. Zhu, J. Liu, M. Chen, and S. Yang, “Propagation based social aware replication for social video contents”, in Proc. ACM Int. Conf. Multimedia, pp. 29-38, 2012.
  9. H. Yin, X. Liu, T. Zhan, V. Sekar, F. Qiu, C. Lin, H. Zhang, and B. Li, “Design and deployment of a hybrid CDN-P2P system for live video streaming: Experiences with Livesky”, in Proc. ACM Int. Conf. Multimedia, 2009, pp. 25-34.
  10. S. Srinivasan, J.Woo Lee, D. Batni and Henning Schulzrinne, “Active CDN: Cloud Computing Meets Content Delivery Networks”, Columbia University Computer Science Technical Reports, 2011.

International Journal of Scientific Research in Science and Technology

Downloads

Published

2020-10-30

Issue

Volume 7, Issue 5, September-October-2020

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Jagdish Belsare, Prof. Pragati Patil "A Review on Content Delivery Network for Efficient Cloud Storage" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 7, Issue 5, pp.337-341, September-October-2020.