NML
Proposed RG Agenda for IETF-94 (Yokohama)
Networking Machine Learning
Proposed Research Group
Chairs: Brian Carpenter
& Sheng Jiang
There
is one session (150 minutes) for the NML Proposed RG:
Tuesday, Morning
Session I 0900-1130
Tuesday
(November 3rd, 2015) 2.5-hour session:
9:00-11:30 Tuesday Morning session I,
Room 304
1. WG
Dash - 5 min
9:00
- 9:05, by co-chairs
2.
Introduction to Machine Learning,
its potential usage in network area,
& the proposed NMLRG - 25 min
9:05
- 9:30, by Sheng Jiang
draft-jiang-nmlrg-network-machine-learning
3. Multidimensional
Aggregation for DNS monitoring - 25 min
9:30
- 9:55, by Jérôme François
4. Applying
Machine Learning to Software-Defined Networks
Use-cases and ongoing experimental results - 30 min
9:55
- 10:25, by Albert Cabellos
5. Machine
Learning in Spam Filtering - 15 min
10:25
- 10:40, by John Levine
6. Autonomic
Network Configuration Using Machine Learning - 25 min
10:40
- 11:05, by Shufan Ji
7. Research
on Network Fault Analysis Based on Machine Learning - 20 min
11:05
- 11:25, by Haibing Song
8. RG
Closing - 5 min
11:25 -11:30, by co-chairs