Time | Session |
Tuesday, May 31 |
|
08:30 AM-09:00 AM | S1: Registration |
09:00 AM-09:30 AM | S2: Conference Opening |
09:30 AM-10:30 AM | S3: Keynote |
10:30 AM-11:00 AM | S4: Morning tea |
11:00 AM-01:00 PM | S5: Data Centers |
01:00 PM-02:00 PM | S5: Lunch |
02:00 PM-03:45 PM | S6: Grids |
03:45 PM-04:15 PM | S7: Afternoon tea |
04:15 PM-05:30 PM | S8: Services & technologies |
06:30 PM-10:00 PM | DINNER: Conference Dinner |
Wednesday, June 1 |
|
09:00 AM-10:45 AM | S9: Networks |
10:45 AM-11:15 AM | S10: Morning tea |
11:15 AM-12:35 PM | S11: Enterprises |
12:35 PM-01:45 PM | S12: Lunch |
01:45 PM-03:45 PM | S13: Industry |
03:45 PM-04:15 PM | S14: Afternoon tea |
04:15 PM-05:15 PM | S15: Industry |
Tuesday, May 31
8:30 AM - 9:00 AM
S1: Registration
9:00 AM - 9:30 AM
S2: Conference Opening
9:30 AM - 10:30 AM
S3: Keynote
Dr. Daniel Kilper is Chair of the Technical Committee of the GreenTouch Consortium and is a member of technical staff at Bell Labs, Alcatel-Lucent. He received BS degrees in electrical engineering and physics from Virginia Tech and the MS and PhD degrees in physics from the University of Michigan, Ann Arbor. He is a senior member of IEEE and an associate editor for the OSA/IEEE Journal of Optical Communications and Networking. He currently serves as Bell Labs Liaison Executive for the Center for Energy Efficient Telecommunications. While at Bell Labs he has conducted research on optical performance monitoring, network energy trends, and on transmission and control systems for transparent optical networks. He holds six patents and authored three book chapters and 91 peer-reviewed journal articles and published proceedings.
10:30 AM - 11:00 AM
S4: Morning tea
11:00 AM - 1:00 PM
S5: Data Centers
1:00 PM - 2:00 PM
S5: Lunch
2:00 PM - 3:45 PM
S6: Grids
- Feasibility, Challenges, and Performance of Wireless Multi-Hop Routing for Feeder Level Communication in a Smart Grid
- Control and Optimization Meet the Smart Power Grid: Scheduling of Power Demands for Optimal Energy Management
- Systematic Classification of Self-Adapting Algorithms for Power-Saving Operation Modes of ICT Systems