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Article:Development of Mathematical Model for Market-Oriented Cloud Computing

by K.Mukherjee, G.Sahoo
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 9 - Number 11
Year of Publication: 2010
Authors: K.Mukherjee, G.Sahoo
10.5120/1430-1927

K.Mukherjee, G.Sahoo . Article:Development of Mathematical Model for Market-Oriented Cloud Computing. International Journal of Computer Applications. 9, 11 ( November 2010), 19-24. DOI=10.5120/1430-1927

@article{ 10.5120/1430-1927,
author = { K.Mukherjee, G.Sahoo },
title = { Article:Development of Mathematical Model for Market-Oriented Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 9 },
number = { 11 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 19-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume9/number11/1430-1927/ },
doi = { 10.5120/1430-1927 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:58:19.446444+05:30
%A K.Mukherjee
%A G.Sahoo
%T Article:Development of Mathematical Model for Market-Oriented Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 9
%N 11
%P 19-24
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is an emerging approach to a shared infrastructure of computing resources in which large pools of systems or clouds are linked together via the internet to provide IT services, such as securely managing billions of online transactions and other highly data-intensive application. Cloud computing is being driven by several factors, including the dramatic growth of connected devices, such as mobile phones, smart cards and other devices. It can be used to break many computing tasks into many smaller pieces and managed in parallel on a massive scale. Thus, Cloud computing offers a simplified, centralized platform for use when needed, lowering costs and energy use. But cloud computing is in its nascent stage of progression. There are no mathematical models regarding the performance analysis of cloud computing. In this paper, we intend to introduce Mathematical Model for cloud computing.

References
  1. L.Keleinrock. A vision for the Internet. ST Journal of Research, Nov.2005, pages 4-5
  2. S.Adreozzi, P. Ciancarini, D. Montesi, R. Moretti, “ Towards a model for quality of web and grid service” In Proc 13th IEEE international Workshops on Enabling Technologies: Infrastructure for Colloborative Enterprises(WET ICE’04), 2004, page 271-276,.
  3. D. Gouscos, M. Kalikakis, and P. Georgiadis. “An approach to modeling Web service QoS and provision price “, in Proceding 3rd International Conference on Web Information Systems Engineering Workshops, 2003,pages 121-130.
  4. J.P Thomas, M.Thomas and G.Ghinea “Modeling of Web service flow”, in Proceeding IEEE International Conference on E-Commerce (CEC 03), 2003, pages 391-398,.
  5. S.Tu , M.Flanagin Y. Wu, M. Abdelguerfi, E. Normand, V. Mahadevan, “ Design Strategies to improve performance of GISWeb services”, in Proceding International Conference on Information Technology : Coding and Computing(ITCC04), 2004, pages 444-448,.
  6. R.Levy, J Nagarajaro, G. Pacifici, M. Spreitzer , A. Tantawi, and A. Youssef, “ Performance management for cluster based Web services”, in Proceding IFIP/IEEE 8th International Symposium on Integrated Network Management, 2003, pages 247-261 ,.
  7. Rajkumar Buyya, Chee Shin Yeo and Srikumar Venugopal, “Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities”, The 10th IEEE International Conference on High Performance Computing and Communications, IEEE Computer Society, 2008, pages 5-13.
  8. Foster I., C. Kesselman, J. Nick, and S. Tuecke, “Grid Services for Distributed System Integration”, IEEE Computer, June 2002, pages 37-46..
  9. Xinhui Li, Ying Li, Tiancheng Liu, Jie Qui, Fengchun Wang “International Conference on Cloud Computing” IEEE Computer, 2009 , pages 93-100,
  10. Furlinger K., M. Gerndt, “A Lightweight Dynamic Application Monitor for SMP Clusters”, HLRB and KONWIHR joint Reviewing Workshop 2004, March 2004.
  11. Furmento N., A. Mayer, S. McGough, S. Newhouse, T. field, and J. Darlington, “ICENI: Optimization of Component Applications within a Grid environment”, Parallel Computing, 2002, pages 1753-1772,.
  12. H.FWedde and M.Farooq, “A comprehensive review of nature inspired routing algorithm for fixed telecommunication networks”, Journal of System Architecture, 2006, vol. 52, no. 8-9, pages 461-484,.
  13. C. Blum and D. Merkle, Eds., Swarm Intelligence: Introduction and Applications, ser. Natural Computing Series. Springer, 2008, pages 344-349.
  14. A. Abraham, C. Grosan, and V. Ramos, Stigmergic Optimization Studies in Computational Intelligence. Secaucus, NJ, USA: Springer-Verlag New York., 2006, pages 124-129
  15. V. Cardellini, E. Casalicchio, and M. Colajanni,” A performance study of distributed architectures for the quality of Web services”, in Proceding 34th Annual Hawaii International Conference on System Sciences,2001
  16. L.Vaquero, L.Rodero-Marino,J.Caceres, M.Linder, “A break in the clouds: towards a cloud definition”, SIGC- OMM Computer Communication Review,2009, pages 137-150
  17. T.D. Seely, “The Wisdom of the Hive”, Harvard University Press, 1995, pages 295-296. Marco Dorigo and Thomas Stutzle “Ant Colony Optimization”, Prentice-Hall of India, India, 2001
  18. Marco Dorigo and Thomas Stutzle “Ant Colony Optimization”, Prentice-Hall of India, India, 2001
Index Terms

Computer Science
Information Sciences

Keywords

Web Service Ant System Scalability

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