Improving the Performance of Information Services in Systems Focused on Large, Rarely Modified Data

This paper presents the results of studying, developing, and pretesting an advanced memoization mechanism oriented to information systems that work with large volumes of rarely modified primary data. The productivity of information services in these systems can be significantly increased using mechanisms for accurate work with cache memory, whereby the results of those and only those computations that modify primary data are invalidated.