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The Scientific World Journal
Volume 2014, Article ID 435254, 16 pages
http://dx.doi.org/10.1155/2014/435254
Research Article

Evolutionary Multiobjective Query Workload Optimization of Cloud Data Warehouses

1METU Computer Engineering Department, Cankaya, 06800 Ankara, Turkey
2Hacettepe University Computer Engineering Department, Beytepe, 06800 Ankara, Turkey

Received 11 December 2013; Accepted 20 February 2014; Published 29 April 2014

Academic Editors: S.-F. Chien, T. O. Ting, and X.-S. Yang

Copyright © 2014 Tansel Dokeroglu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Ahmed Mateen, and Kashif Ali, “Optimization strategies through big-data migration in distributed cloud databases,” 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), pp. 96–99, . View at Publisher · View at Google Scholar
  • Tansel Dokeroglu, and Ahmet Cosar, “Optimization of one-dimensional bin packing problem with island parallel grouping genetic algorithms,” Computers & Industrial Engineering, 2014. View at Publisher · View at Google Scholar
  • Tansel Dokeroglu, Murat Ali Bayir, and Ahmet Cosarpp. 51–60, 2014. View at Publisher · View at Google Scholar
  • Tansel Dokeroglu, Muhammet Serkan Cinar, Seyyit Alper Sert, Ahmet Cosar, Adnan Yazici, Tansel Dokeroglu, Muhammet Serkan Cinar, Seyyit Alper Sert, Ahmet Cosar, and Adnan Yazici, “Improving Hadoop Hive Query Response Times Through Efficient Virtual Resource Allocation,” Flexible Query Answering Systems 2015, vol. 400, pp. 215–225, 2016. View at Publisher · View at Google Scholar