Software-based implementations of updateable data structures for high-speed URL matching

  • Authors:
  • Haowei Yuan;Benjamin Wun;Patrick Crowley

  • Affiliations:
  • Washington University in St. Louis;Washington University in St. Louis;Washington University in St. Louis

  • Venue:
  • Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking and Communications Systems
  • Year:
  • 2010

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Abstract

URL matching is used in many network applications, including URL blacklisting, URL-based forwarding and URL shortening services. These applications need fast URL queries and updates, thus requiring an efficient updateable data structure. As the processing power of general-purpose multi-core processors increases, software-based approaches are better able to meet the speed requirements of URL matching. In this paper, we present our preliminary performance study of finite-automata- and hash-based URL matching implementations on commodity PCs. The impacts of the cache and memory allocation methods are discussed.