A case for micro-cellstores: Energy-efficient data management on recycled smartphones

7th International Workshop on Data Management on New Hardware, DaMoN 2011 - In Conjunction with ACM SIGMOD/PODS Conference

Volumn , Issue , 2011, Pages 50-55

  Harizopoulos, Stavros ^a   Papadimitriou, Spiros ^b  

^a HEWLETT PACKARD LABORATORIES   (United States)

^b GOOGLE INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER OPERATING SYSTEMS; COMPUTING POWER; ENERGY EFFICIENCY; GREEN COMPUTING; INFORMATION MANAGEMENT; RECYCLING;

COMPOSABLE; COST-EFFICIENT; CURRENT GENERATION; DATACENTER; ENERGY COST; ENERGY EFFICIENT; PERFORMANCE MEASUREMENTS; POWER; SMART PHONES; STAND -ALONE;

SMARTPHONES;

EID: 79960155351     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1995441.1995448     Document Type: Conference Paper

References (21)

1. IBM Simon. http://en.wikipedia.org/wiki/IBM-Simon.
2. Report To Congress on Server and Data Center Energy Effciency. In U.S. EPA Tech. Report, 2007.
3. D. G. Andersen, J. Franklin, M. Kaminsky, A. Phanishayee, L. Tan, and V. Vasudevan. FAWN: a fast array of wimpy nodes. In SOSP'09, 2009.
4. L. A. Barroso and U. Hölzle. The Case for Energy-Proportional Computing. IEEE Computer, 40(12), 2007.
5. C. Belady. In the Data Center, Power and Cooling Costs More than the IT Equipment it Supports. Electronics Cooling, 23(1), 2007.
6. A. Dou, V. Kalogeraki, D. Gunopulos, T. Mielikainen, and V. H. Tuulos. Misco: A MapReduce framework for mobile systems. In PETRA, 2010.
7. G. Graefe. Database Servers Tailored to Improve Energy Effciency. In Software Engineering for Tailor-made Data Management, 2008.
8. S. Harizopoulos, V. Liang, D. J. Abadi, and S. Madden. Performance tradeoffs in read-optimized databases. In VLDB, 2006.
9. S. Harizopoulos, M. A. Shah, J. Meza, and P. Ranganathan. Energy Effciency: The New Holy Grail of Database Management Systems Research. In CIDR, 2009.
10. W. Lang, S. Harizopoulos, M. A. Shah, J. M. Patel, and D. Tsirogiannis. Improving the Energy Effciency of a DBMS Cluster. In Submitted for publication, 2011.
11. W. Lang and J. M. Patel. Towards Eco-friendly Database Management Systems. In CIDR, 2009.
12. W. Lang and J. M. Patel. Energy Management for MapReduce Clsuters. In VLDB, 2010.
13. W. Lang, J. M. Patel, and J. F. Naughton. On Energy Management, Load Balancing and Replication. In SIGMOD Record, 2009.
14. W. Lang, J. M. Patel, and S. Shankar. Wimpy Node Clusters: What About Non-Wimpy Workloads? In DaMoN, 2010.
15. J. Leverich and C. Kozyrakis. On the Energy (In)effciency of Hadoop Clusters. In HotPower, 2009.
16. R. Raghavendra, P. Ranganathan, V. Talwar, Z. Wang, and X. Zhu. No "power" struggles: coordinated multi-level power management for the data center. SIGOPS Oper. Syst. Rev., 2008.
17. A. S. Szalay, G. C. Bell, H. H. Huang, A. Terzis, and A. White. Low-power amdahl-balanced blades for data intensive computing. SIGOPS Oper. Syst. Rev., 2010.
18. D. Tsirogiannis, S. Harizopoulos, and M. A. Shah. Analyzing the energy effciency of a database server. In SIGMOD'10, 2010.
19. V. Vasudevan, D. Andersen, M. Kaminsky, L. Tan, J. Franklin, and I. Moraru. Energy-effcient cluster computing with FAWN: workloads and implications. In e-Energy'10, 2010.
20. Z. Xu, Y.-C. Tu, and X. Wang. Exploring Power-Performance Tradeoffs in Database Systems. In ICDE, 2010.
21. L. Zhang, B. Tiwana, Z. Qian, Z. Wang, R. P. Dick, Z. M. Mao, and L. Yang. Accurate online power estimation and automatic battery behavior based power model generation for smartphones. In CODES+ISS, 2010.