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Evolutionary Multiobjective Query Workload Optimization of Cloud Data Warehouses
Joint Authors
Dokeroglu, Tansel
Sert, Seyyit Alper
Cinar, Muhammet Serkan
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-28
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
With the advent of Cloud databases, query optimizers need to find paretooptimal solutions in terms of response time and monetary cost.
Our novel approach minimizes both objectives by deploying alternative virtual resources and query plans making use of the virtual resource elasticity of the Cloud.
We propose an exact multiobjective branch-and-bound and a robust multiobjective genetic algorithm for the optimization of distributed data warehouse query workloads on the Cloud.
In order to investigate the effectiveness of our approach, we incorporate the devised algorithms into a prototype system.
Finally, through several experiments that we have conducted with different workloads and virtual resource configurations, we conclude remarkable findings of alternative deployments as well as the advantages and disadvantages of the multiobjective algorithms we propose.
American Psychological Association (APA)
Dokeroglu, Tansel& Sert, Seyyit Alper& Cinar, Muhammet Serkan. 2014. Evolutionary Multiobjective Query Workload Optimization of Cloud Data Warehouses. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-1049623
Modern Language Association (MLA)
Dokeroglu, Tansel…[et al.]. Evolutionary Multiobjective Query Workload Optimization of Cloud Data Warehouses. The Scientific World Journal No. 2014 (2014), pp.1-16.
https://search.emarefa.net/detail/BIM-1049623
American Medical Association (AMA)
Dokeroglu, Tansel& Sert, Seyyit Alper& Cinar, Muhammet Serkan. Evolutionary Multiobjective Query Workload Optimization of Cloud Data Warehouses. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-1049623
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049623