Newton: Intent-Driven Network Traffic Monitoring
Zhaowei Xi, Yu Zhou, Dai Zhang, Kai Gao, Chen Sun, Jiamin Cao, Yangyang Wang, Mingwei Xu, Jianping Wu · IEEE/ACM Transactions on Networking · 2021
Network monitoring systems are designed to fulfill operators’ intents and serve as essential tools to modern networks. As a result of rapidly increasing network bandwidth and scale nowadays, network monitors should satisfy on-demand network monitoring for continuously growing traffic volumes. However, existing monitoring systems either cannot satisfy flexible intents on demand or produce significant overheads. In this paper, we presentNewton, an intent-driven traffic monitor that is able to specify operators’ intents with traffic monitoring queries and conduct dynamic and scalable network-wide queries deployment.Newtonenables operators to customize and modify queries dynamically without interrupting the network workflow. Besides,Newtonproposes systematic optimizations at device level and network-wide level to reduce resource consumption while deploying queries.Newtoncan combine the resources across switches to deploy complex queries with high resilience to dynamic network status. Evaluations prove thatNewtonis of high flexibility, scalability, and resource efficiency, which demonstratesNewtonis promising to be deployed in large-scale programmable networks.