=== Posters ===

  * Reinforcement Learning for Capacity Tuning of Multi-Core Servers \\ //Liat Ein-Dor*, Yossi Itach*, Aharon Bar-Hillel*, Amir Di-Nur+, and  Ran Gilad-Bachrach*// \\ *Intel Research Israel Labs and +Intel IT

  * Melody - Expert-Free System Analysis \\ //Sivan Sabato, Elad Yom-Tov, and Ohad Rodeh// \\ IBM Haifa Research Labs

  * Online Learning with Constraints for Systems \\ //Branislav Kveton*, Jia Yuan Yu+, Georgios Theocharous*, and Shie Mannor+// \\ *Intel Research and +McGill University

  * Reinforcement Learning for Utility-Based Grid Scheduling \\ //Julien Perez, Balazs Kegl, and Cecile Germain-Renaud// \\ University of Paris-Sud

  * Learning to Dynamically Allocate Memory\\ //Nicolo Cesa-Bianchi* and Ofer Dekel+// \\ *Universtia delgi Studi di Milano and +Microsoft Research

  * Software Unit Test Prioritization: A Statistical Approach\\ //Jason V. Davis and Emmet Witchel// \\ University of Texas at Austin

  * Using Machine Learning to Discover Service and Host Dependencies in Networked Systems \\ //Paul Barham, Richard Black, Moises Goldszmidt, Rebecca Isaacs, John MacCormick, Richard Mortier, and Aleksandr Simma// \\ Microsoft Research

  * Real-Time Anomaly Detection in Software Appliances\\ //F. Knorn, D.J. Leith, and R.N. Shorten// \\ Hamilton Institute, Ireland

  * Policy Search Optimization for Spatial Path Planning\\ //Matthew E. Taylor, Katherine E. Coons, Behnam Robatmili, Doug Burger, and Kathryn S. McKinley// \\ University of Texas at Austin

  * Dynamic Clustering of Interference Domains in Large Scale 802.11 Networks\\ //Reza Lotun, Kan, Cai, and Mike Feeley// \\ University of British Columbia

  * Network Planning Using Reinforcement Learning\\ //Eric Vigeant, Shie Mannor, and Doina Precup// \\ McGill University

  * Approaches to Anomaly Detection using Host Network-Traffic Traces\\ //John Mark Agosta, Jaideep Chardrashekar, Frederic Giroire, Carl Livadas, and Jing Xu// \\ Intel Research

  * Approximate Decision Making in Large-Scale Distributed Systems\\ //Ling Huang*, Minos Garofalakis+, Anthony D. Joseph#, and Nina Taft*// \\ *Intel Research, +Yahoo! Research, and #UC Berkeley

  * Tracking Malicious Regions of the IP Space\\ //Avrim Blum*, Subhabrata Sen+, Oliver Spatscheck+, Dawn Song*, and Shobha Venkataraman*// \\ *Carnegie Mellon University and +AT&T Labs Research

  * Response-Time Modeling for Resource Allocation and Energy-Informed SLAs\\ //Peter Bodik, Charles Sutton, Armando Fox, David Patterson, and Michael Jordan// \\ UC Berkeley

  * Discovering the Runtime Structure of Software with Probabilistic Generative Models\\ //Scott Richardson, Michael Otte, Michael c. Mozer, Amer Diwan, Dan Connors// \\ University of Colorado

  * Learning Link Quality in Wireless Communication Networks\\ //Joseph E. Gonzalez, Andreas Krause, Katherine Chen, and Carlos Guestrin// \\ Carnegie Mellon University