VINEVI实现异构软硬件的实时流量分类监控，突破传统工具局限。
VINEVI: A Virtualized Network Vision Architecture for Smart Monitoring of Heterogeneous Applications and Infrastructures
- 在节点嵌入实时流量分类代理，统一监控物理与虚拟资源。
- 结合Prometheus和Victoria Metrics，实现从硬件到应用的全栈监控。
- 支持裸金属、低配设备及虚拟化服务，适合复杂云环境部署。
监控异构基础设施与应用对满足用户需求至关重要，但现有先进方法与工具仍无法无缝覆盖裸金属、低成本设施，以及托管或虚拟化服务，并缺乏细粒度信息。本文提出虚拟化网络视觉架构（VINEVI），一种智能化的异构系统与应用无缝监控方案。VINEVI通过在节点嵌入流量分类代理，实现物理与虚拟资源的实时流量识别，结合Prometheus和Victoria Metrics等成熟工具，从硬件层到虚拟化应用层完成全栈监控。实验表明，VINEVI在异构环境监控中实现了比文献更高层次的细节覆盖，其嵌入式实时互联网流量分类器具备更强灵活性，显著提升了跨异构环境的监控能力。
原文摘要 · Abstract (English)
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.
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