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Cutting power consumption inl d ticloud computing

Senior scientist, Baiduyangzhenkun@baidu comyangzhenkun@baidu.com2009.6.26

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Power consumption in IDCu g powe co su p o Summary

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internet and central remote servers (IDC) to

Enabling much more efficient computing by

, ,bandwidth

.

A kind of large-scale distributed (usuallye e oge eous sys e

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~

50MW*0.8/200W=0.2M

~900kwh/month/family, or 1.25KW

of IDC

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~ -

~ -

Usually it is critical to protect the

coo ng system y

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Machines

50,000 machines (300W each)

consume 1.5 MW byemse ves

Network device

Cooling system UPS array and their batteries For both machines and cooling

system

g ng

Power Usage Effectiveness

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- -

Heat transfer coefficient: 100:1

-suitable for home and ordinary office

The vast ma orit of machines are air-coolin

Free cooling

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consumption and also produce heat

Internal battery as standby power for machines

.cooling system in a few minutes after power failure

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consumption and also produce heat

Energy-saving lamps

-

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Memory

.

FB/ECC vs. ordinary RAM

ower supp y e c ency ATX: 70%~75%

High (400) volt DC vs. AC

Hard disk HDD vs. SSD disk

3.5 vs. 2.5 hard disk

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Graphics adapter, USB ports, DVD driver, sound chip

Water-cooling vs. air-cooling

ac ne e ra o Usually 70% or lower. Can it be cut idle ratio more?

Standby or hibernation Is it possible in cloud computing?

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Data re licationheartbeat,

Some data become unavailable if many machines unavailable

0 0

380

1

D

M 3

3 5

244 6 6

6

7 8

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50TB of data, 2,000,000 queries/s and 90% cache hit

rate

Single machine: 100~400 queries/s, 0.15~1.8TB diskcapacity

Cluster planning* - =

50TB*3/500 = 0.3TB/machine

hibernated?

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Make machines standb /hibernated one b one

May lead to mass data shuffle, or

Requires data distribution

0 0

380

1

D

M 3

3 5

244 6 6

6

7 8

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To cut power consumption

Cooling system

System infrastructure

o e n us ry s ou e nvo ve

Q & A