Multiple Resource Procurement in Cloud Computing in Cloud Computing Using CABOB Algorithm
Keywords:
Hybrid cloud, Bastion, CABOB algorithm, QOSAbstract
Hybrid cloud could also be a composition of 2 or lots of clouds (private, community or public) that keep distinct entities but square measure certain on, providing the benefits of multiple activity models. Hybrid cloud can also mean the flexibleness to connect collocation, managed and/or dedicated services with cloud resources. In existing Bastion, a totally distinctive and economical theme that guarantees information confidentiality not with standing the encoding secret's leaked and conjointly the someone has access to the bulk ciphertext blocks. we have a tendency to analyze the security of Bastion, which we have a tendency to live its performance by suggests that of a paradigm implementation. Cloud users submit their wants, and in turn vendors submit bids containing worth, QoS and their offered sets of resources. The projected approach is ascendible, that's crucial providing there unit AN outsized type of cloud vendors, with lots of often showing. we've an inclination to perform experiments for acquisition worth and measurability effectiveness on the CABOB algorithmic program exploitation numerous customary distribution benchmarks like random, uniform, decay and CATS.
References
- P. Mell and T. Grance, The NIST Definition of Cloud Computing. National Institute of Standards and Technology (NIST), US Dept. of Commerce, Sep. 2011, 2L. Badger, T. Grance, R. Patt-Corner, and J. Voas, Cloud Computing Synopsis and Recommendations. National Institute of Standards and Technology (NIST), US Dept. of Commerce, May 2012,
- Y. O. Yazir, C. Matthews, R. Farahbod, S. Neville, A. Guitouni, S. Ganti, and Y. Coady, "Dynamic resource allocation in computing clouds using distributed multiple criteria decision analysis," in Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing, ser. CLOUD ’10. Washington, DC, USA: IEEE Computer Society, 2010
- F. Ridder and A. Bona, Four Risky Issues When Contracting for Cloud Services. Gartner Research Report G00210385, Feb. 2011.
- R. Weiss and A. Mehrotra, "Online dynamic pricing: Efficiency, equity and the future of e-commerce," Virginia Journal Of Law And Technology, vol. 6, no. 2, 2001.
- C. Charnes, J. Pieprzyk, and R. Safavi-Naini, "Conditionally secure secret sharing schemes with disenrollment capability," in ACM Conference on Computer and Communications Security (CCS), 1994, pp. 89–95.
- A. Desai, "The security of all-or-nothing encryption: Protecting against exhaustive key search," in Advances in Cryptology (CRYPTO), 2000, pp. 359–375.
- C. Dubnicki, L. Gryz, L. Heldt, M. Kaczmarczyk, W. Kilian, P. Strzelczak, J. Szczepkowski, C. Ungureanu, and M. Welnicki, "HYDRAstor: a Scalable Secondary Storage," in USENIX Conference on File and Storage Technologies (FAST), 2009, pp. 197–210.
- M. Dürmuth and D. M. Freeman, "Deniable encryption with negligible detection probability: An interactive construction," in EUROCRYPT, 2011, pp. 610–626.
- S. Penmatsa and A. Chronopoulos, "Price-based user-optimal job allocation scheme for grid systems," International Symposium on Parallel and Distributed Processing, p. 396, April 2006.
- X. Xie, J. Huang, H. Jin, S. Wu, M. Koh, J. Song, and S. See, "Pricing strategies in grid market: Simulation and analysis," International Conference on Grid and Cooperative Computing, pp. 532–538, October 2008.
- R. Buyya, D. Abramson, J. Giddy, and H. Stockinger, "Economic models for resource management and scheduling in Grid computing," Concurrency and Computation: Practice and Experience, vol. 14, no. 13-15, pp. 1507–1542, 2002.
- I. Foster, C. Kesselman, C. Lee, B. Lindell, K. Nahrstedt, and A. Roy, "A distributed resource management architecture that supports advance reservations and co-allocation," in International Workshop on Quality of Service, 1999.
- H. Casanova and J. Dongarra, "Netsolve: A network server for solving computational science problems," in The International Journal of Supercomputer Applications and High Performance Computing, 1995.
- S. J. Chapin, D. Katramatos, J. F. Karpovich, and A. S. Grimshaw, "The legion resource management system," in Proceedings of the Job Scheduling Strategies for Parallel Processing, ser. IPPS/SPDP ’99/JSSPP ’99. London, UK: Springer-Verlag, 1999.
- S. Parsons, J. A. Rodriguez-Aguilar, and M. Klein, "Auctions and bidding: A guide for computer scientists," ACM Computing Surveys, vol. 43, no. 2, Jan. 2011,
- B. Rochwerger, J. Tordsson, C. Ragusa, D. Breitgand, S. Clayman, A. Epstein, D. Hadas, E. Levy, I. Loy, A. Maraschini, P. Massonet, H. M. noz, K. Nagin, G. Toffetti, and M. Villari, "RESERVOIR— when one cloud is not enough," IEEE Computer, Mar. 2011.
- M. Bichler, J. Kalagnanam, K. Katircioglu, A. J. King, R. D. Lawrence, H. S. Lee, G. Y. Lin, and Y. Lu, "Applications of flexible pricing in business-to-business electronic commerce," IBM Syst. J., vol. 41, no. 2, pp. 287–302, 2002.
- Y. Narahari, C. Raju, K. Ravikumar, and S. Shah, "Dynamic pricing models for electronic business," Sadhana, vol. 30, pp. 231–256, 2005,
- S. Chaisiri, B.-S. Lee, and D. Niyato, "Optimization of resource provisioning cost in cloud computing," IEEE Transactions on Services Computing, vol. 5, 2012
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