The distributed computational systems and the distribution algorithms are thoroughly studied. In this paper we focus on data-intensive distributed problems including of task distributions, network delay times, join of the part task results, and the effect of non-execution. First we make a study of dedicated multi-computer systems in which the number of computers and the capacity of computers are almost constant. Then we analyze non-dedicated systems where the number and the free capacity of computers are frequently changed. The solution time of the full task depends on a large number of complex parameters. The effects of different parameters are demonstrated by numerical analysis based on behavior of distributed data-intensive super-computing systems.
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