CFP last date
01 July 2024
Call for Paper
August Edition
CAE solicits high quality original research papers for the upcoming August edition of the journal. The last date of research paper submission is 01 July 2024

Submit your paper
Know more
Reseach Article

A Review on: Storage Database Consolidation Technology

by Mayuri D. Kakadiya, Pratik A. Patel
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Number 1
Year of Publication: 2015
Authors: Mayuri D. Kakadiya, Pratik A. Patel
10.5120/cae2015651905

Mayuri D. Kakadiya, Pratik A. Patel . A Review on: Storage Database Consolidation Technology. Communications on Applied Electronics. 3, 1 ( October 2015), 36-40. DOI=10.5120/cae2015651905

@article{ 10.5120/cae2015651905,
author = { Mayuri D. Kakadiya, Pratik A. Patel },
title = { A Review on: Storage Database Consolidation Technology },
journal = { Communications on Applied Electronics },
issue_date = { October 2015 },
volume = { 3 },
number = { 1 },
month = { October },
year = { 2015 },
issn = { 2394-4714 },
pages = { 36-40 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume3/number1/435-2015651905/ },
doi = { 10.5120/cae2015651905 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:43:18.709147+05:30
%A Mayuri D. Kakadiya
%A Pratik A. Patel
%T A Review on: Storage Database Consolidation Technology
%J Communications on Applied Electronics
%@ 2394-4714
%V 3
%N 1
%P 36-40
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we are studying the types of data consolidation and enterprise storage. Heterogeneous is one kind of consolidation technique to improve efficiency of result. we are adding one more useful method of cloud computing which is pre-fetching. Generally Consolidation is used with centralized database. In this paper we can apply the consolidation techniques on distributed database with the help of pre-fetching. Pre-fetching is the technique which is used in both approach, centralized as well as in distributed.

References
  1. Bogdanov, A.: The methodology of Application development for hybrid architectures Computer technologies and applications (4), 543 – 547 (2013).
  2. Larose, D.T.: Discovering Knowledge In Data: An Introduction to Data Mining.
  3. Bogdanov, A.V., Stankova, E.N., Lin :T,K Distributed databases. SPb.:``LETI’’, pp.39-43 (2013) 320 A.V. Bogdanov et al.
  4. Prasath, V., Bharathan, N., Lakshmi, N., Nathiya, M.: Fuzzy Logic In Cloud Computing. Int. J. Eng. Res.
  5. Padhy, P.C., Mishra, S.K.: Cloud Computing: Advance Technique for Corporate Excellence. Int. J. Mech. Eng. Comput. Appl. 1(1), 17–21(2013)
  6. Deep Mann ME (Software Engineering) Computer Science and Engineering Department Thapar University Patiala-147004.Inderveer Chana Associate Professor Computer Science and Engineering Department Thapar University Patiala-147004.
  7. P. Graubner, M. Schmidt, and B.Freisleben, “Energy-efficient virtual Machine consolidation,” Professional, vol. 15, no. 2, pp. 28–34, 2013
  8. Kawuu W. Lin1 • Sheng-Hao Chung2 •Chun-Cheng Lin2
  9. Padhy, P.C., Mishra, S.K.: Cloud Computing: Advance Technique for Corporate Excellence. Int. J.Mech.Eng. Comput. Appl. 1(1), 17–21 (2013)
  10. Esseradi, S., Badir, H., Abderrahmane, S., RattroutA.: Mobile Cloud Computing: Current Development and Research Challenges. In: 6th Int. Conf. Inf. Technol., ICIT 2013, pp. 1– 9 (2013)
  11. Neela, K.L., Kavitha, V.: A Survey on Security Issues and Vulnerabilities on Cloud Computing. Int, J. Comput. Sci. Eng. Technol. 4(7), 855–860(2013)
  12. Chaudhary, A., Kolhe, S., Kamal, R.: Machine learning techniques for Mobile Intelligent Systems: A study. In: Ninth Int. Conf. Wirel. Opt. Commun. Networks, pp. 1–5 (2012)
  13. Larose, D.T.: Discovering Knowledge in Data: An Introduction to Data Mining (2005)
  14. Shrivastava, S.K., Tantuway, M.: A Decision Tree Algorithm based on Rough Set Theoryafter Dimensionality Reduction. Int. J. Comput. Appl. 0975 – 8887) 17(7), 29–34 (2011)
  15. Rajkumar, B., Gopikiran, T., Satyanarayana, S.: Neural Network Design in CloudComputing, Int. J, Comput. Trends Technol. 4(2), 63–67 (2013)
  16. Yuan, J., Yu, S.: Privacy Preserving Back-Propagation Neural Network Learning Made Practical with Cloud Computing. IEEE Trans. Parallel Distrib. Syst. 25(1), 212–221(2014)
  17. Sulaiman, S., Shamsuddin, S.M., Abraham, A.: Rough Neuro-PSO Web caching and XML prefetching for accessing Facebook from mobile environment, Rough Neuro-PSO.WebCaching XML Prefetching Access. Faceb. from Mob. Environ. World Congr. Nat.Biol. Inspired Comput., pp. 884–889 (2009)
  18. [Sarwar, S., Ul-Qayyum, Z., Malik, O.A.: CBR and Neural Networks Based Technique for Predictive Prefetching. In: Sidorov, G., Hernández Aguirre, A., Reyes García, C.A.(eds.) MICAI 2010, Part II LNCS, vol. 6438, pp.221–232.Springer,Heidelberg(2010)
  19. Chang, J.-H., Lai, C.-F., Wang, M.-S., Wu, T.-Y.: A cloud-based intelligent TV program recommendation system. Computer Electrical Enginering,1–21 (2013)
  20. Wang, J., Wan, J., Liu, Z., Wang, P.: Data Miningof Mass Storage based on Cloud Computing. In:9th Int. Conf. Grid Coop. Comput.(GCC),pp.426–431(2010)
  21. Liao, S., Hung, T.-H., Nguyen, D., Chou, C., TuC., Zhou, H.: Machine learning- based,prefetchoptimization for data center applications. InProc. Conf. High Perform. Comput. Networking,Storage Anal., Portland, Oregon, pp. 1–10 (2009)
  22. Nagy, H.M., Aly, W.M., Hegazy, O.F.: An Data Mining System for Advising Higher Education.
  23. Chimphlee, S., Salim, N., Salihin, M., NgadimanB,Chimphlee, W., Srinoy, S.: Rough Sets Clustering and Markov model for Web Acces Prediction. In:Proc. Postgrad. Annu. Res Semin., pp. 470–475 (2006)
  24. Sulaiman, S., Shamsuddin, S.M., Abraham, A.: Meaningless to Meaningful Web Log Data for Generation of Web Pre-caching Decision Rules using Rough Set. In: 4th Conf. Data Min. Optim.,vol. 1, pp. 2–4 (2012)
  25. Moreno Marzolla, Ozalp Babaoglu, Fabio Panzieri Universit`a di Bologna, Dipartimento di Scienzedell’ Informazione Mura A. Zamboni 7, I- 40127 Bologna, Italy
Index Terms

Computer Science
Information Sciences

Keywords

Consolidation Pre-fetching Centralized Distributed.