exploring the green blade ken lutz university of california, berkeley local retreat, june 8, 2009
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Exploring The Green Blade
Ken LutzUniversity of California, Berkeley
LoCal Retreat, June 8, 2009
Motivation
2
• To Realize An Energy Responsive Blade and Cluster– Consolidate Load within the cluster– Turn OFF Underutilized Blades
– Explore a smaller unit of replication
– Run on Battery providing Demand Response• Platform for System Level Experiments
3
Server Power Consumption
230
15
248
87
190
13
190
13
200
14
161
19
287
48
0
50
100
150
200
250
300
350
Wat
ts
Pow
erE
dge
1850
Del
l Pow
erE
dge
1950
Sun
Fire
V60
x
Sun
Fire
x21
00 -
Cyb
er S
witc
hing
Sun
Fire
X22
00
Com
paq
DL3
60
HP
Int
egrit
y rx
2600
Server Power Consumption
Active
Idle
Maybe we can explore a new data point
ATOM Blade
• Explore a New Building Block• Inexpensive ($100) and Low Power (25W)• Based on the Intel ATOM 330 CPU
– Dual Core – 45nm– 8W MAX
• Smaller Unit of Replication so expect a cluster will have more units to do the same work
• Fine Grain Control4
Energy Responsive Node
5
Node On/OFF
AC ON/OFF
Battery Backup
UPS Controller ATOM
LoCal ATOM Cluster
• (4) ATOM Motherboards – Almost 1U– 160MB Disk Drive– 10/100 Ethernet– 2GB DRAM– USB etc– DC-DC converter with UPS switch and Battery
• Where is the power going?
6
Room for Improvement…
7
TV Encoder
Clock Generator
Audio Codec
Dc-DC ConverterBridge Chip
Intel I/O controller hub Chip
ATOM CPU
No Heat Sinks
8Not Steady State
Idle Power
9
CPU Power Control Schemes may have a limited effect
Conclusion
• The goal is to explore a new data point in cluster design
• Small nodes allow fine grained load distribution
• Ability to turn nodes off• Explore limited but distributed energy
storage• Learn about the system level problems
10