This work presents the problem of clusters computing performance optimization. An assessment of the impact of computing architecture, applications, and communications equipment on the system performance was done. Processing bottlenecks were identified, showing that in order to obtain an optimum usage of computational structure the system should be treated as a complex one in which it is impossible to isolate and optimize each element independently.
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