dc4cities and hp solar experiment

ITALY INNOVATION CENTER

HEWLET T PACKARD I TALI ANA SRL

DC4Cities and HP Solar Power Moonshot Experiment:

Maximizing Renewable Energy Utilization in a Data Centre

Datacentres Europe 2014

DC4Cities Origins


DC4Cities Origins


Virtual Machine Dynamic

Consolidation and Turn off Servers

DC4Cities Origins




Green Service Level Agreements

DC4Cities Origins




Green Service Level Agreements

Adapt to Renewable

Energy Availability

DC4Cities Project


DC4Cities: an environmentally sustainable data centre for Smart

Cities

FP7-SMARTCITIES-2013 (ICT Call) Objective ICT-2013.6.2 Data Centres in an energy-efficient and environmentally friendly Internet

The goal of DC4Cities is to make existing and new data centres energy adaptive. DC4Cities will find the adequate actions to run a data centre so as to adapt to external energy constraints such as renewable energy availability and consume the minimal energy, without requiring any modification to the logistics, and without impacting the quality of the services provided to their users. In addition new energy metrics, benchmarks, and measurement methodologies will be developed and proposed for the definition of new related standards.

Abstract http://www.dc4cities.eu

http://www.dc4cities.eu/

DC4Cities Web Site and Partners


http://www.dc4cities.eu

http://www.dc4cities.eu/

DC4Cities Rationale

Running a data centre on 100% renewable energy is not a problem if its energy provider is only using hydro and geothermal sources. But if not...

running a data centre at high levels of renewable energy sources is the great challenge


DC4Cities Rationale




Certain Services

require DCs to be close

to users

Smart Cities require

Services, hosted by

DCs

Smart Cities need Eco-

friendly DCs

Europe needs new metrics for DC energy efficiency

DC4Cities Rationale



DC4Cities will find the adequate actions to run a DC so as to adapt to external energy constraints and consume the

minimal energy, targeting the 80% usage of renewable energy sources


Certain Services

require DCs to be close

to users

Smart Cities require

Services, hosted by

DCs

Smart Cities need Eco-

friendly DCs

Europe needs new metrics for DC energy efficiency

DC4Cities Main Goal


Enforce DCs to run in an energy adaptive mode

all data centre components, including applicationsmatching the renewable energy availability;following the Smart City Energy authority

directives on energy usage and plans

DC4Cities Concept


DC4Cities: let DCs become energy adaptive

Eco-friendly DC energy policies needs to be capable of

adapting the power consumption to the

availability of renewable energy

being adapted to the requests received by the Smart City Energy Management authority

DC4Cities Concept


DC4Cities: let DCs become energy adaptive

Eco-friendly DC energy policies needs to be capable of

adapting the power consumption to the

availability of renewable energy

being adapted to the requests received by the Smart City Energy Management authority

Software Execution

Load

HardwarePower

Consumption

Data Centre Total Power

ConsumptionDC4Cities

controls generates PUE*

controls

* approximate factor

DC4Cities Impact on Renewable

Energy Utilization

Trad.DC

PowerRenewablePower

Time

DC4Cities

PowerRenewablePower

Time

50%

50%

20%

80%

DC not using Renewable Power

DC using Renewable Power

DC not using Renewable Power

DC using Renewable Power


Energy Sourcing and Control Options


Option A: Grid Option B: Ren Option C: Mixed

Energy Sourcing and Control Options


Option A: Grid Option B: Ren Option C: Mixed

Option D:Smart [vision]

Data CentreEnergyController

User and Admin Task Scheduling Infrastructure Mgmt Energy Adaptive SW

Renewable Energy Adaptive Interface

Energy Adaptive Data Centre Operation Interface

Grid/Smart Grid Renewable Energy Providers Smart City Control

DC4Cities Overview





DC4Cities Overview (North)







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Weather Forecast

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Energy Availability Forecast

Weather Forecast

Power/EnergyGoals

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Ren

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DC4Cities Overview (Control)







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Serv CServ BServ. A

Service

QuotaSplit

Policies






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Service

QuotaSplit

Policies

Green SLAs (All4Green)





100% ECU

HighPerfW3D2

10000pg/m




100% ECU

HighPerf

MidPerf

75% ECU

W3D2

W2D2

10000pg/m

6000pg/m




100% ECU

HighPerf

MidPerf

75% ECU

LowPerf

W3D2

W2D2

W1D1

10000pg/m

6000pg/m

3000pg/m


Data CentreEnergyAdmin



DC4Cities Overview(Control - South)


Smart CityEnergy Admin






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81%

B2 A1 C2


DC4Cities IaaS CTRL and VM Placement Optimizer (FIT4Green)

FIT4Green VM

placement optimizatio

n

Energy Adaptive Software Control Interface

EndUsers

CreateUseDeleteVMs

Assign/Migrate VMs to/between servers

Clo

ud

Fro

nt

En

d


Infrastructure Mgmt

DC4Cities IaaS CTRL and VM Placement Optimizer (FIT4Green)

EA SWCTRLIaaS

FIT4Green VM

placement optimizatio

n

Energy Adaptive Software Control Interface

EndUsers

CreateUseDeleteVMs

Assign/Migrate VMs to/between servers

Change SLA value(s):VM consolidation factor

Monitoring&Forecast

Clo

ud

Fro

nt

En

d


Infrastructure Mgmt

EA SW Profile:• Deploy options

• Actions• Elasticity

Green SLA:• Time/Calendar• Power Status Deploy option

DC4Cities Historical DB and Forecasting Tool


HistoricalData Base

Actual Energy/Weather Data

Actual IT/Power Data

DC4Cities Historical DB and Forecasting Tool


HistoricalData Base

Actual Energy/Weather Data

Actual IT/Power Data

EnergyAvailability ForecastData

IT/PowerForecastData

Metrics and Benchmarks


Brussels AirportNovember 2012Datacentres Europe 2014

Cars vs. Computers and DCs


202020102000199019801970

SPEEDKm/h

Miles/h

POWERHPs

AERODYNAMICSCd

Cx

FUEL CONSUMPTI

ONKm/Litre

Miles/Gallon

Hybrid

Power

EMISSIONSgCO2/KmgCO2/Mile

Cars vs. Computers and DCs


202020102000199019801970

SPEEDKm/h

Miles/h

POWERHPs

AERODYNAMICSCd

Cx

FUEL CONSUMPTI

ONKm/Litre

Miles/Gallon

Hybrid

Power

EMISSIONSgCO2/KmgCO2/Mile

CPU SPEEDMipsMHz

DC LOGISTICSPUE, CUE,

WUE ENERGY/EMISSIONS

CONSUMPTIONOperations/Wh

gCO2/Operation

Proposal for New Metrics

Real Workloadsor Benchmarks

Output = Work Done

Total Work DoneTotal Energy

Renewable EnergyTotal Energy

Software ExecutionEnergy Efficiency

Renewable Energy Utilization Efficiency

Trigger =WorkRequests

Input = Non-RenewableEnergy

Input =Renewable Energy


Proposal for New Metrics

Real Workloadsor Benchmarks

Output = Work Done

Total Work DoneTotal Energy

Renewable EnergyTotal Energy

Software ExecutionEnergy Efficiency

Renewable Energy Utilization Efficiency

Trigger =WorkRequests

Input = Non-RenewableEnergy

Input =Renewable Energy


Collaboration inside EU Project Cluster for common standardization proposal to CEN-CENELEC-ETSI Coordination Group on Green Data Centres

(CG GDC)

PCTREN – Percent of Renewables (from the Grid)

Large variations, unpredictable, uncontrollable

Renewable Energy Sources: “when” matters!


Low Windenergy quota

High Windenergy quota

PCTREN ~50%

PCTREN ~10%

@REE (Spanish Energy Grid) graph: Wind production vs. Total Demand

PCTREN – Percent of Renewables (from the Grid)

Large variations, unpredictable, uncontrollable

Renewable Energy Sources: “when” matters!


Low Windenergy quota

High Windenergy quota

PCTREN ~50%

PCTREN ~10%

@REE (Spanish Energy Grid) graph: Wind production vs. Total Demand

ECREN-GRID = t ECGRID(t) * PCTREN(t)

ECREN-GRID ECGRID * AVG(PCTREN(t))

DC4Cities Trials


HP “Solar” Experiment

~2KW PV ArrayHP Italy HQMilan (Italy)

DC/AC InverterMeters &

Data Loggers HP InternalPower Grid

Moonshotat HP Italy TechnologyShow Room

ExternalEnergyProvider


Workdone

DC4Cities Trials


DC4Cities First Trial will run during Summer 2014

• HP, Milan IT• CSUC/IMI Barcelona

ES• Create-Net, Trento IT

QUESTIONS?


Thank you!

http://www.dc4cities.eu

http://www.dc4cites.eu/