| 8:30 - 10:00 | Welcome and Session I - Broad questions for authors and discussion |
| 10:00 - 10:30 | Coffee and refreshment break |
| 10:30 - 12:00 |
Session II - Paper presentations
- Learning Communication Patterns in Singularity
Paul Barham, Rebecca Isaacs, Richard Mortier, Tim Harris (Microsoft Research, Cambridge)
[ pdf ]
- ConSil: Low-cost Thermal Mapping of Data Centers
Justin Moore, Jeffrey Chase (Duke University), Parthasarathy Ranganathan (HP Labs)
[ pdf ]
- Automatically Extracting Fields from Unknown Network Protocols
Karthik Gopalratnam (U. Washington), Sumit Basu, John Dunagan, Helen Wang
(Microsoft Research, Redmond)
[ pdf ]
- Bounding an Attack’s Complexity for a Simple Learning Model
Blaine Nelson, Anthony D. Joseph (UC Berkeley)
[pdf ]
|
| 12:00 - 14:00 | Lunch and break-out discussions |
| 14:00 - 15:30 | Session III - Paper presentations
- Adaptive Monitoring in Enterprise Software Systems
Mohammad Munawar, Paul Ward (U. of Waterloo)
[ pdf ]
- Online Performance Management Using Hybrid Reinforcement Learning
Gerry Tesauro, Rajarshi Das (IBM T.J. Watson), Nicholas Jong (UT Austin)
[ pdf ]
- Active Sampling for Accelerated Learning of Performance Models
Piyush Shivam, Shivnath Babu, Jeffrey Chase (Duke University)
[ pdf ]
- User Model Transfer for Email Virus Detection
Marco Barreno, Blaine Nelson, Russell Sears, Anthony D. Joseph (UC Berkeley)
[ pdf ]
|
| 15:30 - 16:30 | Long break and poster presentations
- An Investigation of Grid Performance Predictions through Statistical Learning
Hui Li, Lex Wolters (Leiden University)
[ pdf ]
- Resource Management for Chained Binary Classifiers
Deepak Turaga, Olivier Verscheure, Upendra Chaudhari, Lisa Amini (IBM T.J. Watson)
[ pdf ]
- Towards Learning-based Sensor Management
Karsten Steinhaeuser, Nitesh Chawla, Christian Poellabauer(U of Notre Dame)
[ pdf ]
- Active Sampling in Systems Management Applications
Irina Rish (IBM T.J. Watson)
[ pdf ]
|
| 16:30 - 17:30 | Break-out reports and discussion |
| 17:30 | End of program |
|