Email Services Efficiency Improvement Based on Probabilistic Models

Telecommunication services continuity and stable network implementation within global network arises modern problems. These problems require appropriate algorithms for threats prediction and counter emerging measures implementation. An important problem arising in existing client-server architectures is service lack caused by its overload and server infrastructure unavailability. The article presents client-server interaction analysis methodology for email server vulnerabilities recognition using stochastic modeling principles. Client-server configuration main parameters and threats classification are given. Simulation model has been developed that makes it possible to predict server’s system load alongside with an algorithm for its destabilization countering.