Analytical Decisional Model for Publish/Subscribe Systems on MANET

This paper presents an analytical model for monitoring and analyzing QoS of publish/subscribe systems on MANET. The proposed customizable model ensures the user a good quality of service requirements and combines both proactive and reactive statistical analysis. In fact, the reactive analysis, suitable for multimedia applications, aims to detect failures by approximating latency series with a Gumbel distribution. Besides, the proactive analysis, suitable for crisis management applications, forecasts failures occurrence relaying on the Autoregressive Integrated Moving Average Formula. Finally, a hybrid analysis was proposed by dynamically switching from reactive to predictive forms of analysis whenever QoS violations are noticed. The correlation method was also used to identify source failure causes once they were detected or predicted. The efficiency and accuracy of the proposed scheme were validated by performing simulation.