Cloud computing architecture for high volume monitoring processing
Monitoring systems have historically been used to obtain, process and display metrics coming from applications or devices. Now providers are massively reoriented to SDN NFV infrastructure. An increasing number of applications operate on a micro service architecture. Thus, in addition to the natural evolutionary growth of the collected metrics number, there is an abrupt increase in connection with the change of technology. There is a need for correlation analysis, which does not allow scaling of old monitoring systems using fragmentation. This article proposes a linearly scalable architecture of the monitoring system. The proposed approach makes it possible to increase the reliability of processing metrics and to perform cross domain correlation analysis with the use of computable metrics. The features of real time control system construction based on the proposed architecture are also described.
2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)