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Use of Dynamical Systems Modeling to Hybrid Cloud Database
Moscow Technological Institute (WTU), Moscow, Russia
Moscow Technological Institute (WTU), Moscow, Russia
- 1 Moscow Technological Institute (WTU), Moscow, Russia
- 2 Moscow Technological Institute (WTU), Moscow, Russia
International Journal of Communications, Network and System Sciences·Volume 06 (2013)·Pages 505–512·Published 16 December 2013·DOI10.4236/ijcns.2013.612054
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Abstract
In the article , an experiment is aimed at clarifying the transfer efficiency of the database in the cloud infrastructure. The system was added to the control unit, which has guided the database search in the local part or in the cloud. It is shown that the time data acquisition remain s unchanged as a result of modif ication . Suggestions have been made about the use of the theory of dynamic systems to hybrid cloud database. The present work is aimed at attracting the attention of specialists in the field of cloud database to the apparatus control theory. The experiment presented in this article allows the use of the description of the known methods for solving important practical problems.
KeywordsHybrid Cloud DatabaseCloud ComputingTime of QueryDynamical SystemsControl Theory
- R. Buyya, R. N. Calheiros and X. R. Li, “Autonomic Cloud Computing: Open Challenges and Architectural Element,” 3rd International Conference Emerging Applications of Information Technology (EAIT), Kolkata, 30 November 2012, pp. 3-10.
- S. Abiteboul, “Querying Semi-Structured Data,” Proceedings of 6th International Conference on Database Theory—ICDT’97, Delphi, 8-10 January 1997, pp. 1-18.
- Y. N. Silva, P. Larson and J. Zhou, “Exploiting Common Sub-Expressions for Cloud Query Processing,” 2012 28th IEEE International Conference on Data Engineering (ICDE), Washington DC, 1-5 April 2012, pp. 1337-1348.
- P. Jurczyk and L. Xiong, “Dynamic Query Processing for p2p Data Services in the Cloud,” Database and Expert Systems Applications, Springer, Berlin, Heidelberg, 2009, pp. 396-411.
- X. Wang, X. Liu, L. Fan and X. Jia, “A Decentralized Virtual Machine Migration Approach of Data Centers for Cloud Computing,” Mathematical Problems in Engineering, Vol. 2013, 2013, Article ID: 878542.
- E. Sithole, A. McConnell, S. McClean, G. Parr, B. Scotney, A. Moore and D. Bustard, “Cache Performance Models for Quality of Service Compliance in Storage Clouds,” Journal of Cloud Computing: Advances, Systems and Applications, Vol. 2. No. 1, 2013, pp. 1-24. http://dx.doi.org/10.1186/2192-113X-2-1
- E. Nikulchev and O. Kozlov, “Identification of Structural Model for Chaotic Systems,” Journal of Modern Physics, Vol. 4. No. 10, 2013, pp. 1381-1392. http://dx.doi.org/10.4236/jmp.2013.410166
- Z. D. Sun and S. S. Ge, “Analysis and Synthesis of Switched Linear Control Systems,” Automatica, Vol. 41, No. 2, 2005, pp. 181-195. http://dx.doi.org/10.1016/j.automatica.2004.09.015
- Y. Ohta, H. Maeda and S. Kodama, “Reachability, Observability, and Realizability of Continuous-Time Positive Systems Read,” SIAM Journal on Control and Optimization, Vol. 22, No. 2, 1984, pp. 171-180. http://dx.doi.org/10.1137/0322013
- C. Lu, X. Wang and X. Koutsoukos, “Feedback Utilization Control in Distributed Real-Time Systems with End-to-End Tasks,” IEEE Transactions on Parallel and Distributed Systems, Vol. 16. No. 6, 2005, pp. 550-561. http://dx.doi.org/10.1109/TPDS.2005.73
- Y. Diao, N. Gandhi, J. L. Hellerstein, S. Parekh and D. M. Tilbury, “Using MIMO Feedback Control to Enforce Policies for Interrelated Metrics with Application to the Apache Web Server,” 2002 IEEE Network Operations and Management Symposium, 2002, pp. 219-234.