Calton Pu

Papers

Total Citations

132

H-Index

About

Calton Pu is a leading figure in distributed systems, information management, and cybersecurity, whose work has fundamentally shaped how we monitor and interact with dynamic web content. His pioneering research introduced the concept of **continual queries**, a paradigm shift from one-time database queries to persistent, long-running information monitoring. This vision was realized in **WebCQ**, a prototype system for large-scale web information change detection and delivery. With over 100 citations, the foundational WebCQ paper demonstrated how to leverage hypertext structure to efficiently discover and track modifications across the web, enabling users to receive personalized alerts on changes of interest. Pu’s subsequent work on scalable information monitoring further solidified these contributions, addressing the challenges of handling vast, evolving datasets. Beyond web monitoring, his broader impact spans cloud computing, operating systems, and cybersecurity, where he has developed robust defenses against data corruption and denial-of-service attacks. A Georgia Tech professor and director of the Center for Experimental Research in Computer Systems, Pu’s research continues to influence modern data management and system reliability, making his work essential reading for students and researchers tackling large-scale, real-time information challenges.