PSO-DS: a scheduling engine for scientific workflow managers

Abstract

Cloud computing, an important source of computing power for the scientific community, requires enhanced tools for an efficient use of resources. Current solutions for workflows execution lack frameworks to deeply analyze applications and consider realistic execution times as well as computation costs. In this study, we propose cloud user–provider… (More)
DOI: 10.1007/s11227-017-1992-z

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Cite this paper

@article{Casas2017PSODSAS, title={PSO-DS: a scheduling engine for scientific workflow managers}, author={Israel Casas and Javid Taheri and Rajiv Ranjan and Albert Y. Zomaya}, journal={The Journal of Supercomputing}, year={2017}, volume={73}, pages={3924-3947} }