Mark Crovella


  • Title Professor
  • Office MCS 101B
  • Phone 617-353-8919
  • Education PhD, U Rochester

Mark Crovella is a Professor and former Chair in the Department of Computer Science at Boston University, where he has been since 1994. From 2012 to 2014 he was Chief Scientist of Guavus, Inc. During 2003-2004 he was a Visiting Associate Professor at the Laboratoire d’Infomatique de Paris VI (LIP6), and during 2018-2019 he was visiting faculty at LIP6, INRIA Paris, and LINCS.

His research interests center on improving the understanding, design, and performance of networks and networked computer systems, mainly through the application of data mining, statistics, and performance evaluation. He has made contributions to understanding the Internet and World Wide Web, social networks, and biological networks.

Professor Crovella is co-author of Internet Measurement: Infrastructure, Traffic, and Applications (Wiley Press, 2006) and is the author of over two hundred papers on networking and computer systems, with over 25,000 citations (Google Scholar). He holds ten patents deriving from his research. Between 2007 and 2009 he was Chair of ACM SIGCOMM. He is co-author of “Self-Similarity in World Wide Web Traffic: Evidence and Possible Causes,” which received the 2010 ACM SIGMETRICS Test of Time Award, and of “Routing State Distance: A Path-Based Metric for Network Analysis,” which won a 2013 IETF/IRTF Applied Networking Research Prize. Professor Crovella is a Fellow of the ACM and the IEEE.

Selected Publications

Anukool Lakhina, Mark Crovella, and Christophe Diot. Diagnosing network-wide traffic anomalies. In Proceedings of SIGCOMM 2004, Pages 219-230.

Vijay Erramilli, Mark Crovella, Augustin Chaintreau, and Christophe Diot. Delegation forwarding. In Proceedings of MobiHoc 2008, Pages 251-260.

Jason Fan, Anthony Cannistra, Inbar Fried, Tim Lim, Thomas Schaffner, Mark Crovella, Benjamin Hescott, and Mark D. M. Leiserson. Functional Protein Representations from Biological Networks Enable Diverse Cross-Species Inference. In: Nucleic Acids Research, Volume 47, Issue 9, 21 May 2019.

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