an environmentally sustainable data centre for smart cities
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An environmentally sustainable data centre for Smart Cities
[email protected] Trials leaderFollow us! @DC4Cities
http://www.dc4cities.eu
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
DC4Cities goal is to make existing and new data centres energy adaptive: Find the adequate actions to run a data centre so as to adapt to external energy constraints, such as renewable energy availability and smart city needs,
to consume the minimal energy, without modifying logistics and without impacting the QoS.
In addition new energy metrics, benchmarks and measurement methodologies will be developed and proposed for the creation of new standards.
Consortium partners
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 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 Origins
Virtual Machine
Dynamic Consolidation and Turn off Servers
Green Service Level Agreements
Adapt to Renewable Energy Availability
Sep 2013 - Feb 2016Nov 2011- Apr 2014Jan 2010- Jun 2012
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
Akiyoshi Kitaoka
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
DC4Cities Concept
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 Architecture Overview
WP3
WP5
WP4
WP6
WP2
Data CentreEnergyController
Renewable Energy Adaptive Interface
Energy Adaptive Data Centre Operation Interface
DC4Cities Overview (Control)
0:003:00
6:009:00
12:0015:00
18:0021:00
0:000
20406080
DC Ideal power
0:003:00
6:009:00
12:0015:00
18:0021:00
0:000
10203040506070
Serv CServ BServ. A
0:002:00
4:006:00
8:0010:00
12:0014:00
16:0018:00
20:0022:00
0:000
10
20
Quota A
0:002:00
4:006:00
8:0010:00
12:0014:00
16:0018:00
20:0022:00
0:000
102030
Quota B
0:002:00
4:006:00
8:0010:00
12:0014:00
16:0018:00
20:0022:00
0:000
10
20
Quota C
ServiceQuotaSplit
Policies
Working Modes – Admin Task
• Working mode A : fast scan = 10000 files/hour
– 5 Anti Virus Scanners
• Working mode B : reg scan= 4000 files/hour
– 2 Anti Virus Scanners
• Working mode C : slow scan= 2000 files/hour
– 1 Anti Virus Scanners
• System has 20000 files toScan (work to do)
A A
A
B BB
BB
B B
time
time
time
C
VariousOptionPlans
Don’t reinvent the wheel!
• Data Centres exist without DC4Cities:– DCs use Monitoring, Control and sometimes Automation tools– DCs sometimes have a DCIM (or a SCADA or a BMS)– DCs measure KPIs and care for SLAs– DCs policies are not frequently energy-aware
DC4Cities Software
DC4Cities Adapters
DC Tools:• monitor IT equipment and services• control IT equipment and services• visualize IT equipment and services status• report on IT equipment and services Eg: Openstack, OpenNebula, HP Helion, VmWare, …
DC4Cities SWDCIM:• monitor DC facility and equipment• control DC facility and equipment• visualize DC facility and equipment status• report on DC facility and equipmentEg: FreeMind Energis, Schneider, Emerson, …
“agnostic but not holistic”
Wp6 Trials
WP6 Telco 22/10
Trials plan
In the first phase, each trial site will concentrate on a single service/application running in the data centre in order to fully understand its behaviour in “isolation” when considering the new concept of energy-adaptive planning.
In the second phase, once the characteristics of each application will be better understood, the trial will execute multiple services and parallel, also exploiting the synergies (and the added complexity) of this more realistic scenario.
Barcelona Trial
Webinar - 13th March 2015
Energy consumption by env.
BCN Trial Scenario : Video transcoding
• At CSUC there are several digital repositories of content in which among other content Videos are uploaded and broadcasted.
• To broadcast this videos a transcoding process is done in order to reduce and standarized the size and resolution.
1. Diposit
Video metadata
Submit Form
Validation process
DSpace
Preservation version
Thumbnail
Item
2. Conversion
Media Converter
Broadcastversion
Media Server
3. Broadcast
Measurement & Validation
• The main goal of the M&V plan is to assess the energetic, economic and environmental impact of DC4Cities control components in trial environments.
• The International Performance Measurement and Verification Protocol (IPMVP) is a standard practice in measuring, computing and reporting energy savings and has been selected to assess the impact of the project.
M&V plan goals Baseline scenario definition
Design & implementation SW (ENERGIS) for data
analysis
Data monitoring, analysis & results
during trials
Parameter KPI% RES RenPercent Used in Phase IFlexibility APC, DCA Used in Phase IEnergy savings E_savings For Phase2Environmental impact CO2_savings, EP_savings For Phase2Economic impact Econ_savings For Phase2Energy efficiency DCeP Used in Phase I
• Main results- Improvements in RenPercent changes due to two optimization approaches and high flexibility.
Optimization approach 1 Optimization approach 2
Very relevant increase in Ren Percent.
Percentage improvements vary in the range 7% -20 %, depending on the RES
availability.
Daily average values near from the %RES maximum in the grid.
No increase in %RES usage.
Trial Barcelona results & conclusions
High energy efficiency improvements (DCeP).
Baseline: 0.019 GB/WhTrial: from 0.064 - 0.087
GB/Wh
RenPercent baseline
RenPercent trial DCA APC
40.09 % 41.78 % -0.16 0.92
Single Option Plan Consolidation
Next Phase: DC’s Federation
84%
Data Centre 1 Operators Data Centre 2 Operators
87%
EASCEASC EASC
EASC EASC EASC
EASCEASC EASC
Smart City Control
Data Centre 1Manager
Data Centre 2Manager
EASC EASC EASC
Next Phase: Proposal for New Metrics
Conclusions: DC’s and Smartcities
EMA maximizes the profit of RES considering the restrictions of all consumers
EMA will propose to the DC and tertiary buildings to adapt their consumptions, shifting them to the hours with RES availability
DC4Cities data centre roadmap
Infrastructure energy optimizations
Renewable energy awareness
Renewable energy adaptiveness.
Software applications can become energy-aware and provide fine granularity control on the temporal organization of their internal micro-activities.
Conclusions: Cars vs. Computers and DCs
202020102000199019801970
SPEEDKm/h
Miles/h
POWERHPs
AERODYNAMICSCd
Cx
FUEL CONSUMPTION
Km/LitreMiles/Gallon
HybridPower
EMISSIONSgCO2/KmgCO2/Mile
CPU SPEEDMipsMHz
DC LOGISTICSPUE, CUE, WUE
ENERGY/EMISSIONS CONSUMPTIONOperations/WhgCO2/Operation
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 will find the adequate actions to run a DC so as to adapt to external energy constraints and consume the minimal energy, improving the usage
of renewable energy sources
DCs need to be close to
users Cities require DCs, DCs are suited for
Cities
Smart Cities need Eco-
friendly DCs Europe needs new metrics for
DC energy efficiency
DC4Cities: Environmentally Sustainable Data Centres for Smart Cities
Thank you for your attention!
[email protected]@jordiguijarro
www.dc4cities.eu@DC4Cities