Effective Network-Wide Traffic Measurement: A Lightweight Distributed Sketch Deployment
Fuliang Li, Kejun Guo, Jiaxing Shen, Xingwei Wang
摘要
Network measurement is critical for various network applications, but scaling measurement techniques to the network-wide level is challenging for existing sketch-based solutions. Centralized sketch deployment provides low resource usage but suffers from poor load balancing. In contrast, collaborative measurement achieves load balancing through flow distribution across switches but requires high resource usage. This paper presents a novel lightweight distributed deployment framework that overcomes the limitations above. First, our framework is lightweight such that it splits sketches into segments and allocates them across forwarding paths to minimize resource usage and achieve load balancing. This also enables per-packet load balancing by distributing computations across switches. Second, our framework is also optimized for load balancing by coordinating between flows and enabling finer-grained flow distribution. We evaluate the proposed framework on various network topologies and different sketch deployments. Results indicate our solution matches the load balancing of collaborative measurement while approaching the low resource usage of centralized deployment. Moreover, it achieves superior performance in per-packet load balancing, which is not considered in previous deployment policies. Our work provides efficient distributed sketch deployment to strike a balance between load balancing and resource usage enabling effective network-wide measurement.
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它引用的顶会 Paper5
- LightGuardian: A Full-Visibility, Lightweight, In-band Telemetry System Using SketchletsYikai Zhao, Kaicheng Yang, Zirui Liu, Tong Yang 等NSDI 2021 · 被引用 131 次
- Sketchovsky: Enabling Ensembles of Sketches on Programmable SwitchesHun Namkung, Zaoxing Liu, Daehyeok Kim, Vyas Sekar 等NSDI 2023 · 被引用 44 次
- BitSense: Universal and Nearly Zero-Error Optimization for Sketch Counters with Compressive SensingRui Ding, Shibo Yang, Xiang Chen, Qun HuangSIGCOMM 2023 · 被引用 25 次
- SketchConf: A Framework for Automatic Sketch ConfigurationRuijie Miao, Fenghao Dong, Yikai Zhao, Yiming Zhao 等ICDE 2023 · 被引用 11 次
- HiFi: Hybrid Rule Placement for Fine-Grained Flow Management in SDNsGongming Zhao, Hongli Xu, Jingyuan Fan, Liusheng Huang 等INFOCOM 2020 · 被引用 5 次
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