M. Kalpana, T. Neetha


A fruitful and successful way to deal with give enlisting resources and organizations to customers on interest, appropriated registering has ended up being progressively popular. From cloud organization suppliers' perspective, advantage is a champion amongst the most basic thoughts, and it is generally controlled by the outline of a cloud organization stage under given business segment demand. In any case, a lone whole deal renting arrangement is regularly gotten to orchestrate a cloud stage, which can't guarantee the organization quality yet prompts honest to goodness resource waste. In this paper, a twofold resource renting arrangement is sketched out firstly in which transient renting and whole deal renting are joined going for the present issues. This twofold renting arrangement can sufficiently guarantee the way of organization of all sales and reduction the advantage misuse amazingly. Also, an organization structure is considered as a M/M/m+D lining model and the execution markers that impact the advantage of our twofold renting arrangement are inspected, e.g., the ordinary charge, the extent of sales that need break servers, and so forth. Thirdly, an advantage expansion issue is characterized for the twofold renting arrangement and the updated configuration of a cloud stage is gotten by handling the advantage enhancement issue. Finally, a movement of calculations is coordinated to take a gander at the event of our proposed arrangement with that of the single renting arrangement. The results show that our arrangement can't simply guarantee the organization way of all requesting, moreover get more advantage than the last said.


Cloud Computing; Multi-Server System; Pricing Model; Profit; Queuing Model; Server Configuration Service Charge; Service-Level Agreement; Waiting Time;


K. Hwang, J. Dongarra, and G. C. Fox, Distributed andCloud Computing. Elsevier/Morgan Kaufmann, 2012.

J. Cao, K. Hwang, K. Li, and A. Y. Zomaya, “Optimalmultiserver configuration for profit maximization in cloudcomputing,” IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 6,pp. 1087–1096, 2013.

A. Fox, R. Griffith, A. Joseph, R. Katz, A. Konwinski,G. Lee, D. Patterson, A. Rabkin, and I. Stoica, “Abovethe clouds: A berkeley view of cloud computing,” Dept.lectrical Eng. and Comput. Sciences, vol. 28, 2009.

R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, andI. Brandic, “Cloud computing and emerging it platforms:Vision, hype, and reality for delivering computing as the5th utility,” Future Gener. Comp. Sy., vol. 25, no. 6, pp. 599–616, 2009.

P. Mell and T. Grance, “The NIST definition of cloud computing.national institute of standards and technology,”Information Technology Laboratory, vol. 15, p. 2009, 2009.

J. Cao, K. Hwang, K. Li, and A. Y. ZomayaOptimal multi-server configuration for profit maximization in cloud comput-ing,IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 6, pp. 10871096, Jun. 2013.

R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility,Future Gener. Comput. Sy., vol. 25, no. 6, pp.599616, 2009.

J. Chen, C. Wang, B. B. Zhou, L. Sun, Y. C. Lee, and A. Y. Zomaya Tradeoffs between profit and customer satisfaction for service provisioning in the cloud,in Proc. 20th Int. Symp. High Perform. Distrib. Comput.,pp.229238,2011.

B. Yang, F. Tan, Y.-S. Dai, and S. Guoou, L. Sun, Y. C. Lee, and A. Y. Zomaya, Performance evaluation of cloud service considering fault recovery,in Proc. 1st Int. Conf. Cloud Comput.,pp. 571576,2009.

M. Mazzucco and D. DyachukOptimizing cloud providers revenues via energy efficient server allocation,Sustainable Com-put.:Inf. Syst., vol. 2, no. 1, pp. 112, 2012.

. Archana Pawar et al, ” A Review on Virtual Machine Scheduling in Cloud Computing” in International Journal of Computer Science and Mobile Computing, Vol.3 Issue.4, April- 2014, pg. 928-933

. Linlin Wu, Saurabh Kumar Garg, RajkumarBuyya, “SLA-based admission control for a Software-as-a-Service provider in Cloud computing environments” in Journal of Computer and System Sciences www.elsevier.com/locate/jcss 78 (2012) 1280–1299.

I. Popovici, and J. Wiles, “Proitable services in an uncertain world”.In Proceeding of the18th Conference on Supercomputing (SC 2005), Seattle, WA.

M. Bichler, T. Setzer, Admission control for media on demand services. Service oriented computing and application, in: Proceedings of IEEE International Conference on Service Oriented Computing and Applications (SOCA 2007), Newport Beach, California, USA, 2007.

. Pankesh Patel, AjithRanabahu, Amit Seth, Service Level Agreement in Cloud Computing, In OOPSLA 2009 Workshop.

T. Gad, “Why Traditional Enterprise Software Sales Fail”. July2010, Retrieved on 6 thDec2010:http://www.sandhill.com/opinion/editorial_print.php?id=30 7.

R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, “Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility, Future Generation Computer Systems”, 25(6), (pp. 599-616), Elsevier Science, Amsterdam, The Netherlands.

M. A. Vouk, “Cloud Computing-Issues, Research and Implementation”. In Proceedings of 30th International Conference on Information Technology Interfaces ( ITI 2008), Dubrovnik, Croatia.

I. Foster, Y. Zhao, I. Raicu and S. Lu, "Cloud Computing and Grid Computing 360 Degree Compared", Grid Computing Environments Workshop, Austin, 2008. Richa et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 6 (4) , 2015, 3392- 3395

Full Text: PDF


  • There are currently no refbacks.

Copyright © 2012 - 2021, All rights reserved.| ijitr.com

Creative Commons License
International Journal of Innovative Technology and Research is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJITR , Permissions beyond the scope of this license may be available at http://creativecommons.org/licenses/by/3.0/deed.en_GB.