Client-Server Networked Automation Systems

In this paper, we present an analytic approach to evaluate the reactivity of client-server networked automation systems (NASs). Both deterministic and probabilistic analyses are provided while modeling the NAS using Timed Event Graphs (TEG). Since many results with regard to the deterministic approach have already been published, we recall only its main steps that prove useful, while exposing the probabilistic method. Thereby, we provide the density of probability distribution of the response time (or reactivity) using the probability densities of the local delays, experienced at the different stages of the NAS. Furthermore, a case study is presented to compare the results of the study to measures taken from a real platform. Noteto Practitioners—Asamatter offact, client-serverNASs are largelyusedinindustryand,therefore, theeffortstodealwiththeir performances evaluation are necessary. In the current work, we propose an analytic approach to evaluate their reactivity. Analytic formulae are provided to calculate directly and deterministically the bounds of response time along with others to assess its proba- bility density distribution. Moreover, the results of these formulae turn out to be complying with a lot of experimental measurements carried out under different circumstances.