MODELING RESOURCE ALLOCATION FOR ENERGY EFFICIENCY IN DATA CENTERS ON THE SMART GRID

Authors

  • Sergio Mora Martinez Vicerrectoría de Investigación, Universidad ECCI, Cl. 51 # 19-12, Bogotá, Colombia http://orcid.org/0000-0001-6339-9627
  • Jhon Edwin Vera Vicerrectoría de Investigación, Universidad ECCI, Cl. 51 # 19-12, Bogotá, Colombia
  • Jonathan Avendano Perez Vicerrectoría de Investigación, Universidad ECCI, Cl. 51 # 19-12, Bogotá, Colombia
  • Lizet Camila Salgado Vicerrectoría de Investigación, Universidad ECCI, Cl. 51 # 19-12, Bogotá, Colombia

DOI:

https://doi.org/10.11113/jt.v82.13979

Keywords:

Energy efficiency, resource management, data center, smart grid, renewable energy

Abstract

Data centers are constantly growing and evolving in number and complexity due to increasing demand for Internet-based services. As a result, energy consumption in data centers has increased significantly in recent years, which has become a critical concern for IT enterprises and governments because of high operational costs and negative environmental impact. Therefore, green solutions are needed to integrate the use of renewable energy with the development of reduction strategies in energy consumption. In this study, we investigated the performance of a system that can simulate a data center constrained by service-level agreements, energy consumption, power generation, and non-exponentially distributed service times. A discrete event simulation, an optimization model, and a forecasting method were integrated into the system's architecture to analyze performance when facing different scenarios with several changes in the system's characteristics. We conducted a survey on energy trading, considering that renewable energy generators were incorporated into the algorithm to determine the interaction between data centers and smart grids. The experimental results demonstrate that the proposed system has great potential in improving energy efficiency under different operating conditions in the data centers.

References

X. Wang, Z. Du, Y. Chen, M. Yang. 2015. A Green-aware Virtual Machine Migration Strategy for Sustainable Datacenter Powered by Renewable Energy. Simulation Modelling Practice and Theory. 58(Part 1): 3-14. Doi:10.1016/j.simpat.2015.01.005.

M. Pedram. 2012. Energy-efficient Datacenters. IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems. 31(10): 1465-1484. Doi:10.1109/TCAD.2012.2212898.

Ã. Goiri, M. E. Haque, K. Le, R. Beauchea, T. D. Nguyen, J. Guitart, J. Torres, R. Bianchini. 2015. Matching Renewable Energy Supply and Demand in Green Datacenters. Ad Hoc Networks. 25: 520-534. Doi:http://dx.doi.org/10.1016/j.adhoc.2014.11.012.

A. Wierman, Z. Liu, I. Liu, H. Mohsenian-Rad. 2014. Opportunities and Challenges for Data Center Demand Response. Green Computing Conference (IGCC), 2014 International. 1-10. Doi:10.1109/IGCC.2014.7039172.

E. Oró, V. Depoorter, A. Garcia, J. Salom. 2015. Energy Efficiency and Renewable Energy Integration in Datacentres. Strategies and Modelling Review. Renewable and Sustainable Energy Reviews. 42: 429-445. Doi: 10.1016/j.rser.2014.10.035.

T. Mastelic, I. Brandic. 2015. Recent Trends in Energy-efficient Cloud Computing. IEEE Cloud Computing. 2(1): 40-7. Doi:10.1109/MCC.2015.15.

D. Sitaram, H. L. Phalachandra, G. S, S. H. V, S. TP. 2015. Energy Efficient Data Center Management Under Availability Constraints. Systems Conference (SysCon), 9th Annual IEEE International, 2015. 377-38. Doi:10.1109/SYSCON.2015.7116780.

D. Ardagna, M. Trubian, L. Zhang. 2017. SLA based Resource Allocation Policies in Autonomic Environments, Journal of Parallel and Distributed Computing. 67(3): 259-270. Doi:http://dx.doi.org/10.1016/j.jpdc.2006.10.006.

Q. Zhang, M. F. Zhani, S. Zhang, Q. Zhu, R. Boutaba, J. L. Hellerstein. 2012. Dynamic Energy-aware Capacity Provisioning for Cloud Computing Environments. Proceedings of the 9th International Conference on Autonomic Computing, ICAC ’12. 145-154. Doi:10.1145/2371536.2371562.

Q. Tang, S. K. S. Gupta, G. Varsamopoulos. 2008. Energy-efficient Thermal-aware Task Scheduling for Homogeneous High Performance Computing Data Centers: A Cyber-physical Approach. IEEE Transactions on Parallel and Distributed Systems. 19(11): 1458-1472. Doi:10.1109/TPDS.2008.111.

R. Das, J. O. Kephart, J. Lenchner, H. Hamann. 2010. Utility-function-driven Energy-efficient Cooling in Data Centers. Proceedings of the 7th International Conference on Autonomic Computing, ICAC ’10, ACM, New York, NY, USA. Doi:10.1145/1809049.1809058.

D. Gmach, J. Rolia, C. Bash, Y. Chen, T. Christian, A. Shah, R. Sharma, Z. Wang. 2010. Capacity Planning and Power Management to Exploit Sustainable Energy. 2010 International Conference on Network and Service Management. 96-103. Doi:10.1109/CNSM.2010.5691329.

A. H. Mohsenian-Rad, A. Leon-Garcia. 2010. Coordination of Cloud Computing and Smart Power Grids. Smart Grid Communications (SmartGridComm). 2010 First IEEE International Conference on. 368-372. Doi:10.1109/SMARTGRID.2010.5622069.

M. Arregoces, M. Portolani. 2003. Data Center Fundamentals. Cisco Press.

H. Zhang, S. Shao, H. Xu, H. Zou, C. Tian. 2014. Free Cooling of Data Centers: A Review. Renewable and Sustainable Energy Reviews. 35(0): 171-182. Doi:10.1016/j.rser.2014.04.017.

M. Islam, S. Ren, N. Pissinou, A. Mahmud, A. Vasilakos. 2015. Distributed Temperature-aware Resource Management in Virtualized Data Center. Sustainable Computing: Informatics and Systems. Doi.org/10.1016/j.suscom.2014.03.002.

M. Dayarathna, Y. Wen, R. Fan. 2016. Data Center Energy Consumption Modeling: A Survey. IEEE Communications Surveys Tutorials. 18: 732-794. Doi:10.1109/COMST.2015.2481183

P. L’Ecuyer, L. Meliani, J. Vaucher. 2002. SSJ: A Framework for Stochastic Simulation in Java. E. Yücesan, C.-H. Chen, J. L. Snowdon, J. M. Charnes (Eds.). Proceedings of the 2002 Winter Simulation Conference. IEEE Press. 234-242.

C. Reiss, J. Wilkes, J. L. Hellerstein. Nov 2011. Google Cluster-usage Traces: Format + Schema. Technical report, Google Inc., Mountain View, CA, USA.

Nist/sematech e-handbook of statistical methods (April 2012). URL http://www.itl.nist.gov/div898/.

S. Makridakis, S. C. Wheelwright, R. J. Hyndman. 1998. Forecasting: Methods and Applications. 3rd Edition. John Wiley & Sons, Inc.

J. E. Vera, S. F. Mora and R. A. Cervantes. 2016. Design and Testing of a Network of Sensors on Land Surfaces to Prevent Landslides. 2016 IEEE Biennial Congress of Argentina (ARGENCON), Buenos Aires, Argentina. 1-4. Doi: 10.1109/ARGENCON.2016.7585271.

Portal información-transacciones. 2017. URL http://www.xm.com.co/Pages.

Demanda y eficiencia energética. URL http://www1.upme.gov.co.

Power and performance data sheet-dell poweredge r510 featuring the dell energy smart 750w psu and intel xeon x5670 (2009). URL www.dell.com.

C. Mendoza, A. Quintero, F. Santamaria, J. Alarcon. 2016. Estimation of Electric Energy Required by Electric Vehicles based on Travelled Distances in a Residential Zone. Tecciencia. 11(21). Doi: http://dx.doi.org/10.18180/tecciencia.2016.21.4.

Downloads

Published

2020-04-06

Issue

Section

Science and Engineering

How to Cite

MODELING RESOURCE ALLOCATION FOR ENERGY EFFICIENCY IN DATA CENTERS ON THE SMART GRID. (2020). Jurnal Teknologi, 82(3). https://doi.org/10.11113/jt.v82.13979