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DETERMINING THE CLUSTER SIZE AND THE NUMBER OF REPLICAS OF HIGHLY LOADED INFORMATION SYSTEMS

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The problem of ensuring the quality of customer service for highly loaded information systems is discussed. Existing solutions for scaling highly loaded information systems are considered. A procedure for determining the required number of nodes in a computing cluster based on the queuing theory is proposed. Results of a computational experiment on choosing the size of a computational cluster to ensure the average time for a user request executing to be below the established allowable time, are presented. A model for determining the number of replicas is proposed, in which, at a given intensity of incoming update requests, it is possible to avoid the critical level of the write-write conflict.

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