FIG. 4 is an illustration of the scalability of a system for utilizing real-time data for predictive analysis of the performance of a monitored system, in accordance with one embodiment. As depicted herein, an analytics central server 422 is communicatively connected with analytics server A 414, analytics server B 416, and analytics server n 418 (i.e., one or more other analytics servers) by way of one or more network connections 114. Each of the analytics servers is communicatively connected with a respective data acquisition hub (i.e., Hub A 408, Hub B 410, Hub n 412) that communicates with one or more sensors that are interfaced with a system (i.e., Monitored System A 402, Monitored System B 404, Monitored System n 406) that the respective analytical server monitors. For example, analytics server A 414 is communicative connected with data acquisition hub A 408, which communicates with one or more sensors interfaced with monitored system A 402.
Each analytics server (i.e., analytics server A 414, analytics server B 416, analytics server n 418) is configured to monitor the sensor output data of its corresponding monitored system and feed that data to the central analytics server 422. Additionally, each of the analytics servers can function as a proxy agent of the central analytics server 422 during the modifying and/or adjusting of the operating parameters of the system sensors they monitor. For example, analytics server B 416 is configured to be utilized as a proxy to modify the operating parameters of the sensors interfaced with monitored system B 404.
