Methods for optimizing the speed of performing functional requests in automated information systems taking into account the semantic analysis of information

The article suggests the ways to increase the speed of execution of functional queries to databases in large automated information systems (AIS). The cascade principle of information accumulation when each node of a hierarchical territorially distributed AIS receives and accumulates all data from “lower” nodes, allows optimizing the traffic on communication channels between user workstations and databases. In some cases, this principle also increases the efficiency of search queries. In order to further accelerate the execution of queries, the authors propose a method for distributing data among physical storage media depending on the semantic content of the information. The authors recommend storing the “search data” on high-speed and high-capacity physical media. “Display-only” data may be stored on relatively slow and cheap (conventional) media. Since the performance of servers affects the speed of performing search queries and a part of server resources is spent on database backup, it is important to choose the optimal backup method. The authors propose to set up protocols (procedures) for data backup depending on the type of information.