Low-Rate Overuse Flow Tracer (LOFT): An Efficient and Scalable Algorithm for Detecting Overuse Flows
Journal
Proceedings of the IEEE Symposium on Reliable Distributed Systems
Journal Volume
2021-September
Pages
265-276
Date Issued
2021
Author(s)
Scherrer S
Wu C.-Y
Chiang Y.-H
Rothenberger B
Asoni D.E
Sateesan A
Vliegen J
Mentens N
Perrig A.
Abstract
Current probabilistic flow-size monitoring can only detect heavy hitters (e.g., flows utilizing 10 times their permitted bandwidth), but cannot detect smaller overuse (e.g., flows utilizing 50-100 % more than their permitted bandwidth). Thus, these systems lack accuracy in the challenging environment of high-Throughput packet processing, where fast-memory resources are scarce. Nevertheless, many applications rely on accurate flow-size estimation, e.g., for network monitoring, anomaly detection and Quality of Service. We design, analyze, implement, and evaluate LOFT, a new approach for efficiently detecting overuse flows that achieves dramatically better properties than prior work. LOFT can detect 1.50x overuse flows in one second, whereas prior approaches can only reliably detect flows that overuse their allocation by at least 3x. We demonstrate LOFT's suitability for high-speed packet processing with implementations in the DPDK framework and on an FPGA. ? 2021 IEEE.
Subjects
flow monitoring
network monitoring
Quality of Service
sketching
Anomaly detection
Bandwidth
'current
Flow monitoring
Flow sizes
Flow tracers
Low rates
Network Monitoring
Probabilistics
Quality-of-service
Scalable algorithms
Sketchings
Quality of service
SDGs
Type
conference paper