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ENERGY MONITORING AND MANAGEMENT OF ICT
INFRASTRUCTURE
Supervisor: Pr. Ioannis Vlahavas
SCHOOL OF SCIENCE & TECHNOLOGY
Andreadou Despoina
MSc in ICT Systems October 2011
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REMOTE ENERGY MONITORING AND MANAGEMENT OF ICT INFRASTRUCTURE
An exponentially rising amount
of data available to users.
More data intensive applications.
Higher access speeds.
Higher network core capacity.
ICT equipment is becoming more “energy hungry”, due to:
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REMOTE ENERGY MONITORING AND MANAGEMENT OF ICT INFRASTRUCTURE
It is estimated that ICTs are
responsible for 2-2.5% of global
greenhouse gas emissions.
Printers6% LAN & Office
Telecoms7%Mobile
Tele-coms9%
Fixed-Line Telecoms
15%
Servers23%
PCs & Monitors40%
Printers
LAN and Office Telecoms
Mobile Telecoms
Fixed-Line Telecoms
Servers (Including Cool-ing)
PCs and Monitors
Percentage of ICTs Contribution to Global Warming Thread
•Environmental concerns
1958
1961
1964
1967
1970
1973
1976
1979
1982
1985
1988
1991
1994
1997
2000
2003
2006
2009
300
320
340
360
380
400
Annual Mean CO2 Concen-trations in ppm
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REMOTE ENERGY MONITORING AND MANAGEMENT OF ICT INFRASTRUCTURE
“Market research firm IDC estimates that within the next six years, the companies operating data centres will spend more money per year on energy than on equipment”.
Company Electricity (MWh) Cost5% Reduction in Power
ConsumptionSavings
eBay ~60,000 ~$3.7M $0.28MAkamai ~170,000 ~$10M $0.31M
Rackspace ~200,000 ~$12M $0.6MMicrosoft >600,000 >$36M $1.8M
Google >630,000 >$38M $2.09MUSA (2006) 61,000,000 $4.5B $1023M
MIT campus 270,000 $62M $46.61M
•Financial concerns
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REMOTE ENERGY MONITORING AND MANAGEMENT OF ICT INFRASTRUCTURE
“With regard to climate change, ICT is part of the solution, and not the problem”
Models based on event or performance counters
Models based on CPU and resource utilization in general
Models based on simulators
Coarse-grained models
Method AccuracyUsable
parameters
Predictable
outputSpeed Heterogenity Support
Simulator √√ x x x √√
CPU-based √ √ √ √√ x
Event Counters √√ x x √ √√
Coarse x √√ √√ √√ x
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REMOTE ENERGY MONITORING AND MANAGEMENT OF ICT INFRASTRUCTURE
where:
Pt= total power consumption of the system.
Ps= servers’ power consumption.
PPC= PCs’ power consumption.
PWi-Fi= Wi-Fi access points’ power consumption.
Pr= routers’ power consumption.
Pprint= printers’ power consumption.
PCM= power consumption of the call manager.
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REMOTE ENERGY MONITORING AND MANAGEMENT OF ICT INFRASTRUCTURE
active (W) standby (W) sleeping (W) off
HP laserjet p3005 600 9 9 0
HP laserjet 4700 567 55 17 0
HP colour laserjet cp3525
643 60i)35.1ii)10 0
HP colour laserjet cp2025dn
445 18 6.7 0
Xerox workcentre 5675
1640 i)290ii)120
4 0
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REMOTE ENERGY MONITORING AND MANAGEMENT OF ICT INFRASTRUCTURE
Active (W) Off (W)
10 0
Active (W) Off
cisco catalyst 2960-48TT 30 0
cisco catalyst 2960-48TT 30 0
cisco catalyst 3560-48PS 60 0
cisco catalyst 3560G-24TS 70 0
cisco catalyst 2970- 80 0
cisco catalyst 2800 60 0
cisco catalyst 3800-3845 300 0
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REMOTE ENERGY MONITORING AND MANAGEMENT OF ICT INFRASTRUCTURE
Dynamic Voltage and Frequency Scaling (DVFS).
Different Energy States/Sleeping Modes in ICT
equipment during different utilization requirements.
Virtualization.
.....etc.
Power Management Techniques
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REMOTE ENERGY MONITORING AND MANAGEMENT OF ICT INFRASTRUCTURE
CONCLUSIONS
Power monitoring and management can and will facilitate energy savings in
modern ICT systems.
Power models are less accurate as software & hardware becomes more
sophisticated.
It is left as future work to intervene to the hardware and remotely
deactivate/activate devices which may be underutilized/needed.