A caching model for a quick file access system

Abstract

The amount of stored and transmitted information is constantly increasing. The search and retrieval of the required data become more difficult as it grows. In this paper, we consider the developed storage system. The system stores information about pharmaceutical research. This system effectively stores data depending on its features. The main attention is paid to the issue of data caching at the application server level. To speed up data retrieval, we suggest using a two-section cache. The first section contains the results of queries to the database, and the second contains data from the file system. Analytical and simulation caching models have been developed for research. In the model, you can specify the distribution of requests, the size of the cache sections, the number of requests, and other parameters. The model uses the LRU cache replacement policy. The graphs of model research depending on the cache size and other parameters are provided. The analytical model considers the ideal case, so it shows better results compared to the simulation model.