MODELING OF LARGE DATA ARRAY PROCESSING IN DISTRIBUTED INFORMATION AND TELECOMMUNICATION SYSTEMS
The article considers the problem of modeling large data array processing in distributed information and telecommunication systems. The analysis of the problem, associated with the incorrect operation of the information system, is conducted. It is shown that distributed systems allow distribution of logic and data across multiple physical servers, which, with the correct allocation of resources and logic, makes it possible to reduce the risks of failures. It is demonstrated how the calculation of productivity loss percentage from a failure in one of the distributed information system components is carried out. A fragment of the diagram, outlining the options for the store information system application, is examined. If it is necessary to purchase physical servers when building an information system, then it is possible to calculate the coefficient of decrease in the performance of the information system in the event of a failure on one of the servers while ensuring the conditions for simultaneous operation of servers. The graph, illustrating the dependence of the performance change on the number of nodes that comprise the distributed network, is given. The analysis indicates that the cases when there are not too many servers have the greatest effect on reducing the risks from adding nodes to a distributed system. If a distributed system already consists of many different servers and any logic is duplicated on many of them, the risk reduction from adding an additional server will be negligible.