VINEVI: A Virtualized Network Vision Architecture for Smart Monitoring of Heterogeneous Applications and Infrastructures

TL;DR

VINEVI introduces an innovative architecture for seamless, real-time monitoring of heterogeneous infrastructures and applications, integrating traffic classification with existing tools to enhance monitoring detail and flexibility.

Contribution

The paper presents VINEVI, a novel architecture that enables seamless, fine-grained monitoring of both physical and virtualized infrastructures using embedded traffic classification.

Findings

VINEVI achieves higher monitoring detail than existing methods.

The architecture supports real-time traffic classification across heterogeneous infrastructures.

Experimental results confirm improved monitoring flexibility and comprehensiveness.

Abstract

Monitoring heterogeneous infrastructures and applications is essential to cope with user requirements properly, but it still lacks enhancements. The well-known state-of-the-art methods and tools do not support seamless monitoring of bare-metal, low-cost infrastructures, neither hosted nor virtualized services with fine-grained details. This work proposes VIrtualized NEtwork VIsion architecture (VINEVI), an intelligent method for seamless monitoring heterogeneous infrastructures and applications. The VINEVI architecture advances state of the art with a node-embedded traffic classification agent placing physical and virtualized infrastructures enabling real-time traffic classification. VINEVI combines this real-time traffic classification with well-known tools such as Prometheus and Victoria Metrics to monitor the entire stack from the hardware to the virtualized applications. Experimental results showcased that VINEVI architecture allowed seamless heterogeneous infrastructure monitoring with a higher level of detail beyond literature. Also, our node-embedded real-time Internet traffic classifier evolved with flexibility the methods with monitoring heterogeneous infrastructures seamlessly.