1. Ganesh Ananthanarayanan Mentor: Randy Katz CS 294-14

2. Motivation/Objective Power consumption of datacenters is disproportionately high compared to the number of machines it contributes to the Internet “Green Grid” formed in April 2006 “A group of technology industry leaders form The Green Grid to help reduce growing power and cooling demands in enterprise datacenters” Reduce power consumption of the networking component of datacenters

3. Related Work Wired Networks Wake on LAN/WAN Ethernet Adaptive Link Rate – Christensen and Nordman Wireless Networks Power Saving Mode (Wi-Fi) – Access Point buffers the packets Wake on Wireless – Multi radio Wireless LAN Sensor Networks Nodes elect a “leader” among them and proxy for each other

4. Proposed Approach Traffic prediction module forecasts “low-activity” periods How dynamic should this be? Suite of power saving techniques PSM – switch can buffer packets for a machine Pick low-speed mode for switch (10Gbps vs. 100 Mbps) Shut down individual ports, line card Collaborative power-saving Alternate “light-weight” network Control and low-bandwidth data Wireless? Low-powered Ethernet? Decision Framework – Power Model, Latency, Bandwidth Evaluation of power savings vs. performance

5. Risks/Data requirement Realistic workload traces Suggestions?  Power consumption models What is the power saved by de-energizing a port? What is the power saved by de-energizing a line card? Latency numbers How fast can I wake up a link?

6. Plan (fluid) Week 8: Get the latency and power values Week 9: Build the traffic prediction module Week 10: Design the various power-save techniques Week 11: Come up with a generic decision framework Week 12: Collect network utilization logs – synthetic or real workloads Week 13: Evaluate/plot the performance vs. power-save trade-off, Project Report