FlowRadar: A Better NetFlow for Data Centers

By Yuliang Li, Rui Miao, Changhoon Kim, Minlan Yu. Symposium on Networked Systems Design and Implementation, 2016

430 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

PINT: Probabilistic In-band Network Telemetry (2020, background): “…taken by a flow or a subset switchID Routing Misconfiguration [45, 69, 72] Identify unwanted path taken by a given flow switchID Path Conformance [45, 69, 73] Checks for policy violations. switchID Dynamic per-flow aggregation Utilization-aware Routing [2, 41, 42] Load balance traffic based on…”
Heavy-Hitter Detection Entirely in the Data Plane (2016, methodology): “Prior works such as FlowRadar [24] and CounterBraids [26] have proposed schemes to measure accurate per-flow traffic counters.”
Language-Directed Hardware Design for Network Performance Monitoring (2017, methodology): “Sketches [34, 48, 49, 52, 63] and programmable switch counters [38, 54] expose traffic volume statistics using summary data structures and flow counters on switches.”
Elastic sketch: adaptive and fast network-wide measurements (2018, methodology): “In data centers, administrators care more about the state of the whole network than a single link or node, known as network-wide measurements [2, 12, 18].”
SketchVisor: Robust Network Measurement for Software Packet Processing (2017, methodology): “For example, Open vSwitch only provides sampling-based measurement tools based on NetFlow [40] and sFlow [49], yet packet sampling inherently suffers from low measurement accuracy and achieves only coarse-grained measurement [28, 56].”