Green databases through integration of renewable energy

CIDR 2013 - 6th Biennial Conference on Innovative Data Systems Research

Volumn , Issue , 2013, Pages

  Chen, Cheng ^a   He, Bingsheng ^a   Tang, Xueyan ^a   Chen, Changbing ^a   Liu, Yubao ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b SUN YAT SEN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; ENERGY EFFICIENCY; ENERGY POLICY; ENERGY UTILIZATION; POWER MANAGEMENT; RENEWABLE ENERGY RESOURCES;

ADAPTIVE POWER MANAGEMENT; DATA-BASE SERVERS; ENERGY-EFFICIENT TECHNIQUES; EXECUTION PARADIGM; GREEN ENERGY SOURCES; INTEGRATED DATABASE; INTEGRATION OF RENEWABLE ENERGIES; RENEWABLE ENERGIES;

GREEN COMPUTING;

EID: 85084015462     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (36)

1. B. Aksanli, J. Venkatesh, L. Zhang, and T. Rosing. Utilizing green energy prediction to schedule mixed batch and service jobs in data centers. In Proceedings of the 4th Workshop on Power-Aware Computing and Systems, HotPower’11, pages 5:1–5:5, New York, NY, USA, 2011. ACM.
2. A. Bar-Noy, M. P. Johnson, and O. Liu. Approximation and online algorithms. chapter Peak Shaving through Resource Buffering. 2009.
3. L. A. Barroso and U. Hölzle. The case for energy-proportional computing. Computer, 40(12):33–37, Dec. 2007.
4. C. Chen, B. He, and X. Tang. Green-aware workload scheduling in geographically distributed data centers. In Proceedings of the 2012 IEEE 4th International Conference on Cloud Computing Technology and Science, CloudCom ’12, pages 1–8, Taipei, Taiwan, 2012. IEEE Computer Society.
5. Database Test Suite. http://osdldbt.sourceforge.net/, 2012.
6. A. Deshpande, Z. Ives, and V. Raman. Adaptive query processing. Found. Trends databases, 1(1):1–140, 2007.
7. S. S. Elnaffar. Towards workload-aware dbmss: identifying workload type and predicting its change. PhD thesis, Kingston, Ont., Canada, Canada, 2004.
8. K. Gao. U.S.A. and China solar pv market and ppa solar project development. In Proc. of ISETC’11, 2011.
9. I. n. Goiri, R. Beauchea, K. Le, T. D. Nguyen, M. E. Haque, J. Guitart, J. Torres, and R. Bianchini. Greenslot: scheduling energy consumption in green datacenters. In Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis, SC’11, pages 20:1–20:11, New York, NY, USA, 2011. ACM.
10. I. n. Goiri, K. Le, T. D. Nguyen, J. Guitart, J. Torres, and R. Bianchini. Greenhadoop: leveraging green energy in data-processing frameworks. In Proceedings of the 7th ACM european conference on Computer Systems, EuroSys’12, pages 57–70, New York, NY, USA, 2012. ACM.
11. S. Govindan, A. Sivasubramaniam, and B. Urgaonkar. Benefits and limitations of tapping into stored energy for datacenters. In Computer Architecture (ISCA), 2011 38th Annual International Symposium on Computer Architecture, pages 341 –351, june 2011.
12. S. Harizopoulos, M. A. Shah, J. Meza, and P. Ranganathan. Energy efficiency: The new holy grail of data management systems research. In Proc. of CIDR’09, pages 1–8, 2009.
13. B. He, M. Yang, Z. Guo, R. Chen, B. Su, W. Lin, and L. Zhou. Comet: batched stream processing for data intensive distributed computing. In Proceedings of the 1st ACM symposium on Cloud computing, SoCC’10, pages 63–74, New York, NY, USA, 2010. ACM.
14. S. Jebaraj and S. Iniyan. A review of energy models. Renewable and Sustainable Energy Reviews, 10(4):281 – 311, 2006.
15. A. Kansal and F. Zhao. Fine-grained energy profiling for power-aware application design. SIGMETRICS Perform. Eval. Rev., 36(2):26–31, Aug. 2008.
16. R. H. Katz, D. E. Culler, S. Sanders, S. Alspaugh, Y. Chen, S. Dawson-Haggerty, P. Dutta, M. He, X. Jiang, L. Keys, A. Krioukov, K. Lutz, J. Ortiz, P. Mohan, E. Reutzel, J. Taneja, J. Hsu, and S. Shankar. An information-centric energy infrastructure: The berkeley view. Sustainable Computing: Informatics and Systems, 1(1):7–22, 2011.
17. A. Krioukov, C. Goebel, S. Alspaugh, Y. Chen, D. Culler, and Y. Katz. Integrating renewable energy using data analytics systems: Challenges and opportunities. In Bulletin of the IEEE Computer Society Technical Committee, pages 1–9, 2011.
18. W. Lang, S. Harizopoulos, J. M. Patel, M. A. Shah, and D. Tsirogiannis. Towards energy-efficient database cluster design. PVLDB, 5(11):1684–1695, 2012.
19. W. Lang, R. Kandhan, and J. M. Patel. Rethinking query processing for energy efficiency: Slowing down towin the race. In Bulletin of the IEEE Computer Society Technical Committee, pages 1–12, 2011.
20. W. Lang and J. M. Patel. Towards ecofriendly database management systems. In Proc. of CIDR’09, pages 1–8, 2009.
21. W. Lang and J. M. Patel. Energy management for mapreduce clusters. Proc. VLDB Endow., 3(1-2):129–139, Sept. 2010.
22. W. Lang, J. M. Patel, and S. Shankar. Wimpy node clusters: what about non-wimpy workloads? In Proceedings of the Sixth International Workshop on Data Management on New Hardware, DaMoN’10, pages 47–55, New York, NY, USA, 2010. ACM.
23. C. Li, W. Zhang, C.-B. Cho, and T. Li. Solarcore: Solar energy driven multi-core architecture power management. In Proceedings of the 2011 IEEE 17th International Symposium on High Performance Computer Architecture, HPCA’11, pages 205–216, Washington, DC, USA, 2011. IEEE Computer Society.
24. D. Linden and T. B. Reddy. Handbook of Batteries. McGraw-Hill, 2001.
25. Z. Liu, M. Lin, A. Wierman, S. H. Low, and L. L. Andrew. Greening geographical load balancing. In Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems, SIGMETRICS’11, pages 233–244, New York, NY, USA, 2011. ACM.
26. D. Meisner, C. Sadler, L. Barroso, W. Weber, and T. Wenisch. Power management of online data-intensive services. In Computer Architecture (ISCA), 2011 38th Annual International Symposium on Computer Architecture, pages 319 –330, june 2011.
27. D. S. Palasamudram, R. K. Sitaraman, B. Urgaonkar, and R. Urgaonkar. Using batteries to reduce the power costs of internet-scale distributed networks. In Proceedings of the Third ACM Symposium on Cloud Computing, SoCC’12, pages 11:1–11:14, New York, NY, USA, 2012. ACM.
28. P. Rong and M. Pedram. An analytical model for predicting the remaining battery capacity of lithium-ion batteries. Very Large Scale Integration (VLSI) Systems, IEEE Transactions on, 14(5):441 –451, may 2006.
29. D. Schall and V. Hudlet. Wattdb: an energy-proportional cluster of wimpy nodes. In Proceedings of the 2011 ACM SIGMOD International Conference on Management of data, SIGMOD’11, pages 1229–1232, New York, NY, USA, 2011. ACM.
30. Data Center Knowledge. How google’s data centers use renewable energy., 2012.
31. Measurement and Instrumentation Data Center. http://www.nrel.gov/midc/.
32. R. S. Treptow. The lead-acid battery: Its voltage in theory and in practice. Journal of Chemical Education, 79(3):334, 2002.
33. D. Tsirogiannis, S. Harizopoulos, and M. A. Shah. Analyzing the energy efficiency of a database server. In Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, SIGMOD’10, pages 231–242, New York, NY, USA, 2010. ACM.
34. J. Wang, L. Feng, W. Xue, and Z. Song. A survey on energy-efficient data management. SIGMOD Rec., 40(2):17–23, Sept. 2011.
35. D. Wu, B. He, X. Tang, J. Xu, and M. Guo. Ramzzz: rank-aware dram power management with dynamic migrations and demotions. In Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, SC’12, pages 32:1–32:11, Los Alamitos, CA, USA, 2012. IEEE Computer Society Press.
36. Y. Zhang, Y. Wang, and X. Wang. Greenware: Greening cloud-scale data centers to maximize the use of renewable energy. In F. Kon and A.-M. Kermarrec, editors, Middleware 2011, volume 7049 of Lecture Notes in Computer Science, pages 143–164. Springer Berlin Heidelberg, 2011.