Share This Article:

Use of Dynamical Systems Modeling to Hybrid Cloud Database

Full-Text HTML Download Download as PDF (Size:657KB) PP. 505-512
DOI: 10.4236/ijcns.2013.612054    3,185 Downloads   4,952 Views   Citations

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 remains unchanged as a result of modification. 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.

 

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

E. Pluzhnik and E. Nikulchev, "Use of Dynamical Systems Modeling to Hybrid Cloud Database," International Journal of Communications, Network and System Sciences, Vol. 6 No. 12, 2013, pp. 505-512. doi: 10.4236/ijcns.2013.612054.

References

[1] 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.
[2] S. Abiteboul, “Querying Semi-Structured Data,” Proceedings of 6th International Conference on Database Theory—ICDT’97, Delphi, 8-10 January 1997, pp. 1-18.
[3] 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.
[4] 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.
[5] 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.
[6] 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
[7] 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
[8] 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
[9] 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
[10] 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
[11] 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.
[12] W. Xu, X. Zhu, S. Singhal and Z. Wang, “Predictive Control for Dynamic Resource Allocation in Enterprise Data Centers,” 10th IEEE/IFIP 2006 Network Operations and Management Symposium, 2006, pp. 115-126.
[13] V. Nandina, J. M. Luna, E. J. Nava, C. C. Lamb, G. L. Heileman and C. T. Abdallah, “Policy-Based Security Provisioning and Performance Control in the Cloud,” International Conference on Cloud Computing and Services Science (CLOSER 2013), SciTePress, 2013, pp. 502-508.
[14] R. Nathuji, A. Kansal and A. Ghaffarkhah, “Q-Clouds: Managing Performance Interference Effects for QoSAware Clouds,” Proceedings of the ACM European Society in Systems Conference, Paris, 2010, pp. 237-250.
[15] H. Lim, S. Babu, J. Chase and S. Parekh, “Automated control in cloud computing: Challenges and opportunities,” Proceedings of the 1st Workshop on Automatic Control for Datacenters & Clouds, Barcelona, 2009, pp. 13-18.
[16] M. D. Lemmon, “Towards a Passivity Framework for Power Control and Response Time Management in Cloud Computing,” Proceedings of 7th International Workshop on Feedback Computing, San Jose, 2012
[17] J. M. Luna and C. T. Abdallah, “Control in Computing Systems: Part I,” 2011 IEEE International Symposium on Computer-Aided Control System Design (CACSD), Denver, 28-30 September 2011, pp. 25-31.
http://dx.doi.org/10.1109/CACSD.2011.6044541
[18] E. V. Pluzhnik and E. V. Nikulchev, “Semistructured Database of Hybrid Cloud Computing Infrastructures,” Modern Problems of Science and Education, 2013.
http://www.science-education.ru/en/110-9980

  
comments powered by Disqus

Copyright © 2018 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.