Leanne Wu

Papers

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About

Leanne Wu is a researcher whose work illuminates the hidden patterns of web traffic and system performance. Her primary research areas include workload characterization, web server performance analysis, and network measurement. Wu’s most significant contribution is her comprehensive study of the WWW2007 conference website, where she conducted a pioneering workload characterization using both server-side and client-side measurements. This research, published in her highly cited paper "Workload Characterization of a Large Systems Conference Web Server," analyzed approximately 10 million requests from 130,000 unique visitors generating 215 GB of traffic. The study, which has garnered 12 citations, provides invaluable insights into real-world web server behavior, offering a detailed portrait of user access patterns and system demands. By bridging the gap between theoretical models and actual web traffic, Wu’s work serves as a critical resource for system designers and network engineers seeking to optimize infrastructure for large-scale events. Her meticulous methodology and data-driven approach continue to influence how researchers understand and model web workloads, making her a notable figure in the field of internet measurement and systems performance analysis.