CFP last date
20 December 2024
Reseach Article

A Survey on Routing Algorithms for Cloud Computing

Published on December 2013 by K. Kuppusamy, J. Mahalakshmi
International Conference on Computing and information Technology 2013
Foundation of Computer Science USA
IC2IT - Number 4
December 2013
Authors: K. Kuppusamy, J. Mahalakshmi
377a48f1-c258-407e-ac6a-a5d129fda38a

K. Kuppusamy, J. Mahalakshmi . A Survey on Routing Algorithms for Cloud Computing. International Conference on Computing and information Technology 2013. IC2IT, 4 (December 2013), 5-8.

@article{
author = { K. Kuppusamy, J. Mahalakshmi },
title = { A Survey on Routing Algorithms for Cloud Computing },
journal = { International Conference on Computing and information Technology 2013 },
issue_date = { December 2013 },
volume = { IC2IT },
number = { 4 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 5-8 },
numpages = 4,
url = { /proceedings/ic2it/number4/14682-1326/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Computing and information Technology 2013
%A K. Kuppusamy
%A J. Mahalakshmi
%T A Survey on Routing Algorithms for Cloud Computing
%J International Conference on Computing and information Technology 2013
%@ 0975-8887
%V IC2IT
%N 4
%P 5-8
%D 2013
%I International Journal of Computer Applications
Abstract

Cloud computing is an evolving paradigm, as the NIST defines cloud computing is the internet based computing where the shared servers virtually provides service, software, infrastructure, platform, and other devices and resources and hosting to the customers on a Pay – as – you – use basis. It also enables the convenient, on – demand network access to a shared pool of configuration enable computing resources. Cloud computing appears as a computational paradigm as well as a distributed architecture, and its main objective is to provide secure as well as quick computing service to the consumers. The cloud enhances the agility, scalability, ability to adapt the adequate number of users according to the demand cost reduction using the optimized and efficient computing. In this paper, we surveyed the various routing algorithms that are used for the cloud computing processes, the optimal resource allocation techniques used in cloud computing and its applications in various fields. Cloud computing is widely used in distributed and mobile computing environment. This is possible due to miniaturization of communication technology. The significance of the routing is considered as an important part in the cloud computing since they are based on the on – demand networks. Hence allocating the nearest route is a vital role in cloud computing.

References
  1. C. Ulmer, L. Alkalai and S. Yalamanchili, Wireless distributed sensor networks.
  2. Römer, Kay; Friedemann Mattern (December 2004), "The Design Space of Wireless Sensor Networks", IEEE Wireless Communications 11 (6): 54–61, doi:10. 1109/MWC. 2004. 1368897,
  3. Akyildiz, I. F. , W. Su, Y. Sankarasubramaniam, E. Cayirci, "A Survey on Sensor Networks", IEEE Communications Magazine, August, 102-114(2002).
  4. M. Chu, H. Haussecker, and F. Zhao, Scalable Information-Driven Sensor Querying and Routing for ad hoc Heterogeneous Sensor Networks," The International Journal of High Performance Computing Applications, Vol. 16, No. 3, August 2002.
  5. H. Chen and H. Q. Ye. Asymptotic optimality of balanced routing, 2010.
  6. S. T. Maguluri, R. Srikant, and L. Ying. Stochastic models of load balancing and scheduling in cloud computing clusters. In Proc. IEEE Infocom. , pages 702–710, 2012.
  7. Raj Gaurav, "An Efficient Broker Cloud Management System" ACAI '11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence ACM New York, NY, USA ©2011 ISBN: 978-1-4503-0635-5
  8. Kulasekaran A. Sivakumar, Mahalingam Ramkumar: An Efficient Secure Route Discovery Protocol for DSR. GLOBECOM 2007: 458-463.
  9. P. Mell, T. Grance, The NIST definition of Cloud Computing , Version 15, National Institute of Standards and Technology, October 7, 2009. .
  10. Zhao G, Liu, Tang Y. Sun,W. Zhang F, Ye X,Tang N (2009) Cloud Computing : A statistics aspect of users. In: First International Conference on Cloud Computing (CloudCom), Beijing, Springer,Berlin, Hiedelberg,pp 347 – 358.
  11. Cloud Security Alliance (2011) Security Guidance for critical areas of focus in cloud computing v3. 0.
  12. Khalid . A (2010) Cloud Computing : Applying issues in Small Business In : International conference on signal acquisition and processing (ICSAP '10) pp 278 – 281.
  13. MatherT. Kumaraswamy,S. Latif (2009) Cloud Security and Privacy O'Reilly Media Inc,Sebastopol,CA.
  14. A. Manjeshwar and D. P. Agarwal, "TEEN: a routing protocol for enhanced efficiency in wireless sensor networks," In 1st International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing, April 2001.
  15. I. Foster, Y. Zhao, I. Raicu, and S. Lu. Cloud computing and grid computing 360-degree compared. In Grid Computing Environments Workshop, 2008. GCE'08, pages 1–10, 2008.
  16. David B. Johnson, David A. Maltz, and Yih-Chun Hu;`` The Dynamic Source Routing protocol for mobile ad hoc networks (DSR). Internet draft (work in progress)'', IETF, April 2003.
  17. S. Ramamurthy, L. Sahasrabuddhe, and B. Mukherjee, "Survivable WDM mesh networks," IEEE/OSA J. Lightwave Technol. , vol. 21, no. 4, pp. 870–883, Apr. 2003.
  18. "Spectral grids for WDM applications: DWDM frequency grids," ITUT, Tech. Rep. G. 694. 1, June 2002.
  19. A. Nag, M. Tornatore, and B. Mukherjee, Fellow, Ieee, "Optical network design with mixed line rates and multiple modulation formats," IEEE/OSA J. Lightwave Technol. , vol. 28, no. 4, pp. 466–475, Feb. 2010. .
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Routing Algorithms Distributed System Resource Allocation Techniques Optimization.