Theoretical analysis, Star Student Project general random simulations as well as specific case studies demonstrate that this strategy is highly cost-effective (i.e., close to or even the same as the minimum cost benchmark) with very practical computation complexity for runtime deployment. Star Student Project is a significantly extended version of our conference paper. Traditionally, scientific applications are deployed on high performance computing facilities, such as clusters and grids. How to store the generated data sets is normally decided by the scientists who launch the applications.
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Department : Computer Science/ Information Technology/ Electronics
Star Student Project
Theoretical analysis, Star Student Project general random simulations as well as specific case studies demonstrate that this strategy is highly cost-effective (i.e., close to or even the same as the minimum cost benchmark) with very practical computation complexity for runtime deployment. Star Student Project is a significantly extended version of our conference paper. Traditionally, scientific applications are deployed on high performance computing facilities, such as clusters and grids. How to store the generated data sets is normally decided by the scientists who launch the applications.