期刊
IEEE-ACM TRANSACTIONS ON NETWORKING
卷 30, 期 6, 页码 2818-2833出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNET.2022.3182694
关键词
Task analysis; Memory management; Time measurement; Throughput; Size measurement; Protocols; Data structures; Non-duplicate sampling; traffic measurement; flow spread
类别
资金
- NSF [CSR 1909077, NeTS 1719222]
This study presents a non-duplicate sampling approach for handling mismatch between the line rate and throughput of a network traffic measurement module. The proposed virtual filter design reduces processing and memory overhead and includes a mechanism for automatically adjusting the sampling probability.
Sampling is key to handling mismatch between the line rate and the throughput of a network traffic measurement module. Flow-spread measurement requires non-duplicate sampling, which only samples the elements (carried in packet header or payload) in each flow when they appear for the first time and blocks them for subsequent appearances. The only prior work for non-duplicate sampling incurs considerable overhead, and has two practical limitations: It lacks a mechanism to set an appropriate sampling probability under dynamic traffic conditions, and it cannot efficiently handle multiple concurrent sampling tasks. This paper proposes a virtual filter design for non-duplicate sampling, which reduces the processing overhead by about half and reduces the memory overhead by an order of magnitude or more under some practical settings. It has a mechanism to automatically adapt its sampling probability to the traffic dynamics. It can be modified to handle sampling for multiple independent tasks with different probabilities. We also enhance the virtual filter for flow spread measurement and super spreader detection with a large measurement period.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据