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2014 IEEE International Conference on Big Data and Cloud Computing (BdCloud) (2014)
Sydney, Australia
Dec. 3, 2014 to Dec. 5, 2014
ISBN: 978-1-4799-6719-3
pp: 280
Kamil Figiela , Dept. of Comput. Sci., AGH Univ. of Sci. & Technol., Krakοw, Poland
Maciej Malawski , Dept. of Comput. Sci., AGH Univ. of Sci. & Technol., Krakοw, Poland
ABSTRACT
Although clouds offer new opportunities for scientists to access compute resources on demand, the existence of a large number of infrastructures with different billing schemes precludes well-established resource allocation policies, known e.g. From grids. Our research aims to provide methods and tools for cost optimization of cloud-based scientific workflows under various constraints, imposed either by the user (e.g. Deadlines) or by the infrastructure (e.g. Limited available instances).
INDEX TERMS
Cloud computing, Data models, Conferences, Computational modeling, Computer science, Mathematical programming
CITATION

K. Figiela and M. Malawski, "Modeling, Optimization and Performance Evaluation of Scientific Workflows in Clouds," 2014 IEEE International Conference on Big Data and Cloud Computing (BdCloud)(BDCLOUD), Sydney, Australia, 2015, pp. 280.
doi:10.1109/BDCloud.2014.112
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