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

Autor:	Moreira, Rodrigo, da Cunha, Hugo G. V. O., Moreira, Larissa F. Rodrigues, Silva, Flávio de Oliveira
Rok vydání:	2024
Předmět:	Computer Science - Networking and Internet Architecture Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Machine Learning
Zdroj:	International Conference on Advanced Information Networking and Applications (AINA-2022)
Druh dokumentu:	Working Paper
DOI:	10.1007/978-3-030-99584-3_46
Popis:	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. Comment: 12 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2412.19226 Zobrazit plný text záznamu View this record from Arxiv