Abstract
The article examines the existing problems of scaling components in streaming data processing systems. The algorithm proposed by the authors significantly reduces the number of operations for creating and removing components when scaling the system. The algorithm is based on linear regression. For the proposed algorithm, the practical load on the system is simulated to confirm the theoretical results obtained.
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