Second Workshop on
Tackling Computer Systems Problems
with Machine Learning Techniques (SysML07)

Here is the list of accepted papers. You can see the program at the official SysML07 site at Usenix.

Full presentations with discussion time

  • Snitch: Interactive Decision Trees for Troubleshooting Misconfigurations
    James Mickens, University of Michigan Martin Szummer, Microsoft Research Ltd. Dushyanth Narayanan, Microsoft Research Ltd.

  • Fingerpointing Correlated Failures in Replicated Systems
    Soila M. Pertet, Carnegie Mellon University Rajeev Gandhi, Carnegie Mellon University Priya Narasimhan, Carnegie Mellon University

  • Machine Learning for Efficient Neighbor Selection in Unstructured P2P Networks
    Robert Beverly, MIT CSAIL Mike Afergan, MIT/Akamai

  • Gray's Anatomy: Dissecting Scanning Activities Using IP Gray Space Analysis
    Yu Jin, Department of Computer Science, University of Minnesota Gyorgy Simon, Department of Computer Science, University of Minnesota Kuai Xu, Department of Computer Science, University of Minnesota Zhi-Li Zhang, Department of Computer Science, University of Minnesota Vipin Kumar, Department of Computer Science, University of Minnesota

  • An adaptive anomaly detector for worm detection
    John Mark Agosta Intel Research Carlos Diuk-Wasser CS Department, Rutgers University Jaideep Chandrashekar Intel Research Carl Livadas Intel Research

  • Structure From Failure
    Ralf Herbrich, Microsoft Research Ltd., Cambridge, UK Thore Graepel, Microsoft Research Ltd., Cambridge, UK Brendan Murphy, Microsoft Research Ltd., Cambridge, UK

Short talks with Q&A

  • Why Did My PC Suddenly Slow Down?
    Sumit Basu (Microsoft Research) John Dunagan (Microsoft Research) Greg Smith (Microsoft Research)

  • SPIKE: Best practice generation for storage area networks
    Prasenjit Sarkar (IBM) Ramani Routray (IBM) Eric Butler (IBM) Kaladhar Voruganti (IBM) Chung-hao Tan (IBM) Kiyoung Yang (USC)

  • Analyzing System Logs: A New View of What's Important
    Sivan Sabato, IBM Haifa Labs Elad Yom-Tov, IBM Haifa Labs Aviad Tsherniak, IBM Haifa Labs Saharon Rosset, IBM T.J Watson Research Center

  • Machine Learning Approaches to Network Anomaly Detection
    Tarem Ahmed Department of Electrical and Computer Engineering McGill University Montreal, QC, Canada. tarem.ahmed@mail.mcgill.ca Boris Oreshkin Department of Electrical and Computer Engineering McGill University Montreal, QC, Canada. boris.oreshkin@mail.mcgill.ca Mark Coates Department of Electrical and Computer Engineering McGill University Montreal, QC, Canada. coates@ece.mcgill.ca