BATCHSKETCH: A "Network-server" Aligned Solution for Efficient Mobile Edge Network Sketching
ACM International Conference on Mobile Computing and Networking(2022)
摘要
Heavy flow identification is essential for discovering potential adversarial activities in mobile edge networks. However, state-of-the-art falls short in accuracy with approximation algorithms and unbounded memory usages with precise measurement. To this end, we introduce BatchSketch, a "network - server" aligned solution to achieve both high accuracy and low memory usage. The intelligence behind is that BatchSketch first conducts coarse-grained filtering from the switch with bounded memory and computation resources, and it then sends the filtered flows to the RDMA-link attached server with plenty of memory for accurate measurement. Our primary experimental results indicate that the filter on the switch can filter 99% of non-heavy flows, remarkably reducing the memory usage for the measurement.
更多查看译文
关键词
Mobile edge network, network measurement, sketching
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要