Abstract
This chapter presents an optimization framework to manage green datacenters using multilevel energy reduction techniques in a joint approach. A green datacenter exploits renewable energy sources and active Uninterruptible Power Supply (UPS) units to reduce the energy intake from the grid while improving its Quality of Service (QoS) . At server level, the state-of-the-art correlation-aware Virtual Machines (VMs) consolidation technique allows to maximize server’s energy efficiency. At system level, heterogeneous Energy Storage Systems (ESS) replace standard UPSs, while a dedicated optimization strategy aims at maximizing the lifetime of the battery banks and to reduce the energy bill , considering the load of the servers. Results demonstrate, under different number of VMs in the system, up to 11.6% energy savings, 10.4% improvement of QoS compared to existing correlation-aware VM allocation schemes for datacenters and up to 96% electricity bill savings.
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Abbreviations
- AC:
Alternating Current
- BFD:
Best-Fit-Decreasing
- CVMP:
Correlation-aware VM Placement
- CRAC:
Computer Room Air Conditioning
- CTI:
Charge Transfer Interconnect
- DC:
Direct Current
- DoD:
Depth-of-Discharge
- DP:
Dynamic Programming
- DSO:
Distribution System Operator
- DVFS:
Dynamic Voltage and Frequency Scaling
- ESS:
Energy Storage Systems
- HES:
Hybrid Electric Systems
- IT:
Information Technology
- MAPE:
Mean Average Percentage Error
- NOCT:
Nominal Operating Cell Temperature
- PCP:
Peak Clustering-based Placement
- PDU:
Power Distribution Unit
- PV:
Photovoltaic
- QoS:
Quality of Service
- SoC:
State of Charge
- SoH:
State of Health
- STC:
Standard Test Conditions
- UPS:
Uninterruptible Power Supply
- V/f:
Voltage/Frequency
- VM:
Virtual Machine
References
[online]http://www.strompreis.elcom.admin.ch/PriceDetail.aspx?placeNumber=261&OpID=565&-Period=2014&CatID=12
[online]http://www.varta-automotive.com/en-gb/products/industrial/industrial-professional-dual-purpose
[online]http://www.soda-is.com/eng/services/services_radiation_free_eng.php
Bash C, Forman G (2007) Cool job allocation: measuring the power savings of placing jobs at cooling-efficient locations in the data center. In: 2007 USENIX annual technical conference on proceedings, ATC’07. USENIX Association, Berkeley, pp 29:1–29:6
Benson T et al (2010) Understanding data center traffic characteristics. ACM SIGCOMM Comp Commun Rev 40(1):92–99
Bergonzini C et al (2010) Comparison of energy intake prediction algorithms for systems powered by photovoltaic harvesters. Microelectron J 41(11):766–777
Carpinelli G, Celli G, Mocci S, Mottola F, Pilo F, Proto D (2013) Optimal integration of distributed energy storage devices in smart grids. IEEE Trans Smart Grid 4(2):985–995
Chen Y, Gmach D, Hyser C, Wang Z, Bash C, Hoover C, Singhal S (2010) Integrated management of application performance, power and cooling in data centers. In: Network operations and management symposium (NOMS). IEEE, pp 615–622
Clark J (2013) It now 10 percent of world’s electricity consumption, report finds. [online]http://www.theregister.co.uk/2013/08/16/it_electricity_use_worse_than_you_thought/
Deng N et al (2011) Concentrating renewable energy in grid-tied datacenters. In: 2011 IEEE international symposium on sustainable systems and technology (ISSST). IEEE, pp 1–6
Farhangi H (2010) The path of the smart grid. Power Energy Mag IEEE 8(1):18–28
Ferdman M et al (2012) Clearing the clouds: a study of emerging scale-out workloads on modern hardware. ACM SIGARCH Comp Archit News 40(1):37–48
Goiri I, Katsak W, Le K, Nguyen TD, Bianchini R (2014) Designing and managing datacenters powered by renewable energy. IEEE Micro 34(3):8–16
Halder K et al (2012) Risk aware provisioning and resource aggregation based consolidation of virtual machines. In: 2012 IEEE 5th international conference on cloud computing (CLOUD), pp 598–605
Katz RH (2009) Tech titans building boom. IEEE Spectr 46:40–54
Kim J et al (2013) Correlation-aware virtual machine allocation for energy-efficient datacenters. In: Design, automation & test in Europe (DATE) conference, pp 1345–1350
Leverich J, Monchiero M, Talwar V, Ranganathan P, Kozyrakis C (2009) Power management of datacenter workloads using per-core power gating. Comput Archit Lett 8(2):48–51
Liu Z, Chen Y, Bash C, Wierman A, Gmach D, Wang Z, Marwah M, Hyser C (2012) Renewable and cooling aware workload management for sustainable data centers. In: Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on measurement and modeling of computer systems, SIGMETRICS ’12. ACM, pp 175–186
Meng X et al (2010) Efficient resource provisioning in compute clouds via VM multiplexing. In: Proceedings of the 7th international conference on autonomic computing. ACM, pp 11–20
Mukherjee N, Strickland D (2016) Control of cascaded DC-DC converter-based hybrid battery energy storage systems – Part I: stability issue. IEEE Trans Ind Electron 63(4):2340–2349
Pakbaznia E et al (2009) Minimizing data center cooling and server power costs. In: Proceedings of the 14th ACM/IEEE international symposium on low power electronics and design. ACM, pp 145–150
Parolini L, Sinopoli B, Krogh B, Wang Z (2012) A cyber-physical systems approach to data center modeling and control for energy efficiency. Proc IEEE 100(1):254–268
Pedram M et al (2010) Power and performance modeling in a virtualized server system. In: 2010 39th international conference on parallel processing workshops (ICPPW), pp 520–526
Riffonneau Y et al (2008) System modelling and energy management for grid connected PV systems with storage. In: 23rd European photovoltaic solar energy conference and exhibition, pp 3447–3451
Riffonneau Y, Bacha S, Barruel F, Ploix S (2011) Optimal power flow management for grid connected PV systems with batteries. IEEE Trans Sustain Energy 2(3):309–320
Rossi M, Brunelli D (2013) Electricity demand forecasting of single residential units. In: 2013 IEEE workshop on environmental energy and structural monitoring systems (EESMS). IEEE, pp 1–6
Rossi M et al (2014) Real-time optimization of the battery banks lifetime in hybrid residential electrical systems. In: Design, automation & test in Europe (DATE) conference, pp 139–145
Stewart C et al (2009) Some joules are more precious than others: managing renewable energy in the datacenter. In: Proceedings of the workshop on power aware computing and systems
Tang Q, Gupta S, Varsamopoulos G (2008) Energy-efficient thermal-aware task scheduling for homogeneous high-performance computing data centers: a cyber-physical approach. IEEE Trans Parallel Distrib Syst 19(11):1458–1472
Verma A et al (2008) pMapper: power and migration cost aware application placement in virtualized systems. In: Middleware 2008. Springer, Berlin, pp 243–264
Verma A et al (2009) Server workload analysis for power minimization using consolidation. In: Proceedings of the 2009 conference on USENIX annual technical conference. USENIX Association, pp 28–28
Wang Y et al (2011) Charge migration efficiency optimization in hybrid electrical energy storage (HEES) systems. In: 2011 international symposium on low power electronics and design (ISLPED), pp 103–108
Wang Y et al (2013) Optimal control of a grid-connected hybrid electrical energy storage system for homes. In: Design, automation & test in Europe conference & exhibition (DATE). IEEE, pp 881–886
Wang Y, Lin X, Kim Y, Xie Q, Pedram M, Chang N (2014) Single-source, single-destination charge migration in hybrid electrical energy storage systems. IEEE Trans Very Large Scale Integr VLSI Syst 22(12):2752–2765
Wang LY, Wang C, Yin G, Lin F, Polis MP, Zhang C, Jiang J (2016) Balanced control strategies for interconnected heterogeneous battery systems. IEEE Trans Sustain Energy 7(1):189–199
Zhang Y et al (2011) Greenware: greening cloud-scale data centers to maximize the use of renewable energy. In: Middleware 2011. Springer, pp 143–164
Acknowledgements
This work has been partially supported by the EC FP7 GreenDataNet STREP Project (Agreement No. 609000) and the YINS RTD Project (no. 20NA21_150939), funded by Nano-Tera.ch with Swiss Confederation Financing and scientifically evaluated by SNSF.
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Embedded Systems Laboratory (ESL), EPFL, Lausanne, Switzerland
Ali Pahlevan, Pablo G. Del Valle & David Atienza
Department of Industrial Engineering, University of Trento, Trento, Italy
Maurizio Rossi & Davide Brunelli
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Correspondence toAli Pahlevan.
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Department of Computer Science and Engineering, Seoul National University, Seoul, Korea (Republic of)
Soonhoi Ha
Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
Jürgen Teich
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Pahlevan, A., Rossi, M., Del Valle, P.G., Brunelli, D., Atienza, D. (2017). Joint Computing and Electric Systems Optimization for Green Datacenters. In: Ha, S., Teich, J. (eds) Handbook of Hardware/Software Codesign. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-7267-9_35
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