Denis A. Nasonov

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Flexible and efficient workflow scheduling is a key feature for modern distributed heterogeneous computational environments to satisfy requirements of scientific community. In this paper, we propose novel co-evolutional scheduling algorithm which demonstrates with conducted experiments how nature-inspired concept can improve existing schedulers and help to(More)
Today technological progress makes scientific community to challenge more and more complex issues related to computational organization in distributed heterogeneous environments, which usually include cloud computing systems, grids, clusters, PCs and even mobile phones. In such environments, traditionally, one of the most frequently used mechanisms of(More)