Abstract. A method for estimating the upper and lower bounds of large information system performance with the account for the system data integrity requirement, is proposed. The integrity is ensured by locking the computing resources necessary for the transaction execution and releasing them when the transaction is completed or cancelled. Clustering of transactions allows for parallel processing of different user requests belonging to different clusters. The features of query processing give no way of analytical assessment of large information systems performance, and a full-scale or simulation experiment is time consuming. The model of a large information system is formalized in the form of a mass service network. The complete set of routes in the queuing network is given by the number of clusters of similar transactions. The performance is estimated by the system response time.

Keywords: transaction, transaction clustering, big information system, queuing network, graph, system performance

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