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This paper represents the challenge of software architecture according to fidelity prediction. In a distributed computing environment a improved statistical model is used for unearthing the most suitable algorithms corresponding to performance needs for each specific software application. The proposed technique is based on a variant chain of automatic data collection, which has provided us the possibility to adjust, during the execution, the mechanism of fault management. We propose adoi:10.23956/ijarcsse.v7i12.480 fatcat:m422redtbfatdlqhs5limiunym