Mint: Cost-Efficient Tracing with All Requests Collection via Commonality and Variability Analysis
Year: 2025
Type: conference-paper
Abstract: Distributed traces contain valuable information but are often massive in volume, posing a core challenge in tracing framework design: balancing the tradeoff between preserving essential trace information and reducing trace volume. To address this tradeoff, previous approaches typically used a '1 or 0' sampling strategy: retaining sampled traces while completely discarding unsampled ones. However, based on an empirical study on real-world production traces, we discover that the '1 or 0' strategy actually fails to effectively balance this tradeoff.
Authors: Haiyu Huang, Cheng Chen, Kunyi Chen, Pengfei Chen, Guangba Yu, Zilong He, Yilun Wang, Huxing Zhang, Qi Zhou
Institutions: Sun Yat-sen University, Alibaba Group (China)
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: G1827727885, G2530523038, G7213717779
OpenAlex ID: W4407219165