James Hamilton, AWS Vice President &... - Amazon Cloud Comp Workshop 6/2010

Has a blog - Dawei lin

Trace: where the money goes in big data center - Dawei lin

Power is the most important expense - Dawei lin

Economies of Scale: discover a few years ago. learn from high scale buyers and medium buyers - Dawei lin

Network: $13/Mb/s/Mth: Medium %95/Mb/s/mth - Dawei lin

Storage: $4.6?GB/year (2x in 2 Data centers: Medium: $26/B/year - Dawei lin

Admin: Large Service: Over 1000 servers/admin: enterprise: 140 servers/admin - Dawei lin

Medium size operations pay much more for the same thing - Dawei lin

Power Related costs [Will] Dominate: Estimate for 45,000 server center - Dawei lin

~88M for 8MW facility: Server opwer draw at 30% load, load 80%, Commerical Power: 7c/kWhr - Dawei lin

3 yr server, 4yr net gear, 10yr infrastructure amortization. - Dawei lin

Monthly cost is used to normalize different data - Dawei lin

34% costs functionally related to power, 8% Networking & 19% of total server cost - Dawei lin

Cost of high V transformer, power are going up, cost of computing are going down. - Dawei lin

Increase efficiency of server is very important since it consists 54% of the cost - Dawei lin

To shut services down does not reduce the cost very much 13% - Dawei lin

Should keep the services all up. - Dawei lin

Keep the workload flat is an advantage for cloud computing - Dawei lin

bring in diverse unrelated load from various geography is important - Dawei lin

http://perspectives,mvdirona.com - Dawei lin

People begin to think about workflow when it is moved somewhere - Dawei lin

Where the power go? Used servers use a lot of power - Dawei lin

A good data center with PUE ~1.5 - Dawei lin

each server watt loses ~0.5W to power distribution - Dawei lin

Most centers are measured by availability not cost - Dawei lin

Power 115KVolt - HV utility distribution - 0.3 loss -> 13.2kv -> Rotary or Battery (6%) -> 13.2v -> transformer (2% loss) -> 480v Total lost 11% not a big component - Dawei lin

480 -> 208v -> 12V (server) -> 1.x V - Dawei lin

12V to 1.V is not well known. have room to increase efficiency - Dawei lin

Power Suuply: offen <80% at typical load, On board step-down (VRM/VRD) - Dawei lin

The mechanic and cooling solution has been changed for 30 yrs - Dawei lin

Air flow is expensive: - Dawei lin

Cooling will end-up in water cooling. - Dawei lin

There are five conversations in cooling process. - Dawei lin

Air-side Economization -> just open the window - Dawei lin

bring the cold air into server. It is cheaper even a hot day (105F) - Dawei lin

Servers can run well at 90F. - Dawei lin

use cooling towers rather than A/C - Dawei lin

Deep automation only affordable when amortized over large user base - Dawei lin

If you have 1k or 10K, automation becomes necessity - Dawei lin

High Scale system make Software investment worthwhile - Dawei lin

Special skills with deep focus, such as power efficiency experts - Dawei lin

Average PUE over 2.0 - Dawei lin

Cloud computer allow servers to be placed in different datacenters. - Dawei lin

This allows low latency (close to customer) and redundancy - Dawei lin

Hardware Cost can be reduced by bulk purchase - Dawei lin

Utilization: 30% usage is good, 10% - 20% common - Dawei lin

Solutions: pool number of heterogeneous services - Dawei lin

Pay as you grow model - Dawei lin

Give Analysts access to analyze your data. - Dawei lin

AWS Pace of Innovation: release new product nearly every month - Dawei lin

Slides will be posted to http://mvdirona.com/jrh/work (this week) - Dawei lin

Hybrid which combine public and private cloud is going to be dominated model - Dawei lin

Private connectivity, close to customers are good things to try - Dawei lin

Renting resources does not mean you can use it efficiently. - Dawei lin

Monthly bill, resource usage reports will increase visibility and help people do efficiently - Dawei lin