Denis A. Nasonov

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Estimation of the execution time is an important part of the workflow scheduling problem. The aim of this paper is to highlight common problems in estimating the workflow execution time and propose a solution that takes into account the complexity and the randomness of the workflow components and their runtime. The solution proposed in this paper addresses(More)
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)
Digital data universe size is exponentially growing up from year to year and currently is estimated to be more than 4.4 Zb. It compels scientific community to found out more efficient approaches in collecting, organizing and processing of information. A lot of enterprise solutions offer extended software tools based on MapReduce principles for big data(More)