Embed Size (px)
DESCRIPTION
Marina Zapater presents her work at the PICATA Workshop. This workshop is intended to know the diverse groups of people recently incorporated thank to PICATA programme of Moncloa campus and who are researching and assessing the clusters. The Program for International Talent Recruitment (PICATA) has focused on bringing in students and researchers from all over the world, in a determined effort towards internationalization and talent recruitment with different actions. The PICATA Programme offers sholarships for the development of PhD thesis marked by at least two practising doctors from the two associated Universities, the UCM and the UPM, with the possibility of participation by doctors from the other associated Institutions within the context of the Campus Moncloa in these areas: Global Change and New Energies, Materials for the Future, Agri-food and Health, Innovative Medicine, and Heritage.
Citation preview
Marina Zapater | Workshop PICATA | 14-02-2013 1
MONCLOA Campus of International Excellence
Proactive and Reactive Thermal Optimization Techniques to Improve
Energy Efficiency in Data Centers
Workshop PICATAMarina Zapater
José L. Ayala, José M. Moya
Marina Zapater | Workshop PICATA | 14-02-2013
Laboratorio de Sistemas Integrados (LSI)Departamento de Ingeniería ElectrónicaETSI TelecomunicaciónUniversidad Politécnica de Madrid
ArTeCS GroupGroup of Architecture and Technology of Computing SystemsFacultad de InformáticaUniversidad Complutense de Madrid
Presentation
2
Marina Zapater | Workshop PICATA | 14-02-2013
Data Centers
3
Marina Zapater | Workshop PICATA | 14-02-2013 4
Motivation
• Power consumption in data centers– 1.3% world energy production in 2010– USA: 80 billion KWh/year in 2011 = 1.5xNYC– 250 billion KWh/year in 2010
• More than 43 Million tons of CO2 / year• More water than paper, automotive, petrol,
wood or plastic industry Jonathan Koomey. 2011. Growth in Data center electricity use 2005 to 2010
Marina Zapater | Workshop PICATA | 14-02-2013 5
Motivation
• It is expected for total data center electricity use to exceed 400 GWh/year by 2015.
• The required energy for cooling will continue to be at least as important as the energy required for the computation.
• Energy optimization of future data centers will require a global and multi-disciplinary approach.
2000 2005 20100
5000
10000
15000
20000
25000
30000
35000
High-end serversMid-range serversVolume servers
2000 2005 20100
50
100
150
200
250
300
InfrastructureCommunicationsStorageHigh-end serversMid-range serversVolume servers
5,75 Million new servers per year10% unused servers (CO2 emissions similar to 6,5 million cars)
World server installed base (thousands)
Electricity Use (billion KWh/year)
Marina Zapater | Workshop PICATA | 14-02-2013
State of the Art Energy Savings for different abstraction levels
Abstraction level
• Higher levels of abstraction bring more benefits
• Application-level still has to be explored.
Solutions proposed by the State of the Art
6
Marina Zapater | Workshop PICATA | 14-02-2013
Our perspective
• Using the knowledge about the energy demand of the applications, the features of the computation and cooling resources to apply proactive optimization techniques
• Global strategy to integrate multiple information sources and coordinate decissions to reduce overall power consumption.
7
Proactive and reactive holistic approach
Marina Zapater | Workshop PICATA | 14-02-2013
Our perspective
• State of the Art: PUE ≈ 1,2– The important part is IT energy consumption– Current work is focused on decreasing PUE
8
IT and Cooling power
coolingITTOTAL PPP
IT
TOTAL
P
PPUE
Marina Zapater | Workshop PICATA | 14-02-2013
Our perspective
9
IT and Cooling power
coolingITTOTAL PPP
IT
TOTAL
P
PPUE
• Minimize IT power• Jointly minimize IT and cooling
Marina Zapater | Workshop PICATA | 14-02-2013
Minimizing IT PowerLeveraging heterogeneity
• Usage heterogeneity (existance of different servers) to minimize energy consumption:– Static: Finding the best data center set-up, given a number of
heterogeneous machines– Dynamic: optimization of task allocation
M. Zapater, J.M. Moya, J.L. Ayala. Leveraging Heterogeneity for Energy Minimization in Data Centers, CCGrid 2012
10
Marina Zapater | Workshop PICATA | 14-02-2013
Minimizing IT powerApplication Awareness
WORKLOAD Scheduler Resource Manager
Execution
11
Marina Zapater | Workshop PICATA | 14-02-2013
HeterogeneityApplication Awareness
WORKLOAD Scheduler Resource Manager
Execution
Profiling and Classification
Energy Optimization
12
Marina Zapater | Workshop PICATA | 14-02-2013
Cooling management
• Control of the fan speed of a server – Enterprise server: Sparc T3 (256
threads)– Real measures with server
internal sensors
• We can find an optimum pointbetween leakage and cooling to minimize power
13
Work in collaboration with:
Leakage-cooling tradeoffs at the server level
Marina Zapater | Workshop PICATA | 14-02-2013
Cooling management
Work in collaboration with:
Leakage-cooling tradeoffs at the server level
14
Marina Zapater | Workshop PICATA | 14-02-2013
Cooling & IT Joint Opt.
• Deriving a data room thermal model to jointly allocate computational and cooling resources– Gathering environmental data
through sensors (WSN)– Server sensors– Workload information
• Usage of genetic programming and genetic algotithms
15
Work in Progress
Marina Zapater | Workshop PICATA | 14-02-2013
Holistic aproach
• System that increases the knowledge of the data center• Real implementation scenario at CeSViMa• Power optimization in globally distributed systems
16
Proactive and reactive techniques
Data Center state Optimization
Datacenter
SensingDecission proposal
GreenDISC Project: HW/SW Technologies for Energy Efficiency in Distributed Computing Systems.UCM-UPM
TEC2012-33892.Spanish Ministry of Economy and Competitiveness
Marina Zapater | Workshop PICATA | 14-02-2013
Research goals
• Energy and CO2 carbon footprint reduction in data centers– So far, 25% reduction in IT resource management
optimizations– 10% energy reduction in fan control policies
• Joint IT/cooling techniques are expected to bring much more benefits.
• Solutions in a real environment: CeSViMa
17
Expected impact
Marina Zapater | Workshop PICATA | 14-02-2013 18
Questions?
Thank you for your attention
Marina [email protected]
B105. ETSI TelecomunicaciónAvda Complutense, 3091 549 57 00 (+ 4227)
http://greenlsi.die.upm.eshttp://artecs.dacya.ucm.es/
Marina Zapater | Workshop PICATA | 14-02-2013
Research results
• M. Zapater, J.L. Ayala, J.M. Moya, K. Vaidyanathan, K. Gross, A.K. Coskun, Leakage and Temperature Aware Server Control for Improving Energy Efficiency in Data Centers. To apper in: DATE’13, 2013.
• M. Zapater, J. L. Ayala, and J. M. Moya. “GreenDisc: a HW/SW energy optimization framework in globally distributed computation”, J. Bravo, D. López-de Ipiña, and F. Moya, Ed., Springer Berlin Heidelberg, 2012, pp. 1-8.
• M. Zapater, J. L. Ayala, and J. M. Moya, “Leveraging heterogeneity for energy minimization in data centers”, in Proceedings of the 2012 12th IEEE International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2012), Washington, DC, USA, 2012.
• M. Zapater, C. Sanchez, J. L. Ayala, J. M. Moya, and J. L. Risco-Martín, “Ubiquitous green computing techniques for high demand applications in smart environments” Sensors, vol. 12, iss. 8, pp. 10659-10677, 2012
• M. Zapater, P. Arroba, J. M. Moya, and Z. Bankovic, “A State-of-the-Art on energy efficiency in today’s datacentres: researcher’s contributions and practical approaches”, UPGRADE, vol. 12, iss. 4, pp. 67-74, 2011.
• M. Zapater, J. L. Risco, J. L. Ayala, and J. M. Moya, “Combined Dynamic-Static approach for Thermal-Awareness in heterogeneous data centers” IWIA 2010.
19
