Proceedings of the 4th ACM SIGCOMM conference on Internet measurement

Abstract

Over the past five years, the measurement and empirical study of the Internet has blossomed from an art practiced by a relatively small number of specialists, to a field of study in its own right, with conferences (such as this conference) and workshops devoted to the topic. Indeed, many of the important works at the expanding frontier of Internet measurement have appeared in a previous Internet Measurement Conference or Internet Measurement Workshop. This year's technical program continues that strong tradition, with an outstanding set of papers that cover a rich variety of topics including traffic characterization, empirical studies of specific protocols and/or systems, traffic matrix estimation, traffic identification and classification, detection of traffic changes and anomalies, and measurement tools. Perhaps reflecting the maturing nature of the field, several papers also examine lessons learned and/or potential pitfalls in network measurement. As in the past, this year's program consists solely of papers submitted in response to the Call for Papers, with peer review playing an important role in the paper selection process. This year, 157 papers were submitted - a new record for IMC! Because only 39 papers (20 extended abstracts and 19 full papers) of the 157 submitted papers could be accepted, many strong submissions could not be included, and the resulting overall quality of the technical program is particularly high. Submitted papers were reviewed primarily by the Program Committee and also in some cases by outside experts, who are acknowledged on a following page. Program committee members played a crucial role in shaping the program through their thoughtful reviews, on-line discussions, and in-person meeting. It is a pleasure to be able to acknowledge their tireless efforts. The program committee meeting was held with all members in attendance (with two members available by teleconference). A subcommittee of the Program Committee also selected the paper Traffic Matrix Estimation on a Large IP Backbone - A Comparison on Real Data, by Anders Gunnar, Mikael Johansson, and Thomas Telkamp as the Best Student Paper. Congratulations to these authors.