Distribution of data flows in distributed systems using hierarchical clustering

Today, big data storing, processing, and analyzing is one of the important tasks facing representatives of all fields. Currently, there are several approaches to storing and processing large data streams, but one of the most effective approaches is to store data streams in a distributed manner. Although distributed systems have their own potential in data storage and processing, the effectiveness of the system depends on the proper organization of the effective data distribution process. This research deals with the approaches to the distribution of data streams in distributed systems. First of all, the existing data methods distribution in distributed systems and their effectiveness are analyzed. Moreover, a distribution approach using hierarchical clustering is proposed. At the same time, the steps of distribution using hierarchical clustering are explained and the results obtained in the research are analyzed at the end of the study.

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