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INTELLECTUAL TECHNOLOGY FOR ORGANIZING THE EXECUTION OF HETEROGENEOUS WORKFLOWS IN A DISTRIBUTED COMPUTING ENVIRONMENT

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The concept of heterogeneous workflows is formulated and following computational modes are identified: batch, streaming, and iterative. The necessity of developing of scheduling algorithms for each of modes is determined. Developed scheduling algorithms are based on machine learning methods, evolu-tionary approaches, and artificial intelligence methods. A technology has been developed that ensures the collaborative execution of heterogeneous workflows based on a cascade of developed optimization meth-ods.

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