Towards flash disk use in databases - Keeping performance while saving energy?

Datenbanksysteme in Business, Technologie und Web, BTW 2009 - 13th Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), Proceedings

Volumn , Issue , 2009, Pages 167-186

  Harder, Theo ^a   Schmidt, Karsten ^a   Ou, Yi ^a   Bachle, Sebastian ^a  

^a Rheinland Pfälzische Technische Universität Kaiserslautern Landau   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DISK-BASED; FILE SYSTEMS; FLASH DISKS; FLASH TECHNOLOGY; GREEN COMPUTING; HOLISTIC APPROACH; MAGNETIC DISK; NAND FLASH MEMORY; PERFORMANCE CHARACTERISTICS; SAVING ENERGY; STORAGE STRUCTURES;

DATABASE SYSTEMS; ENERGY EFFICIENCY;

FLASH MEMORY;

EID: 84873916638     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Ban, A.: Wear leveling of static areas in flash memory. US patent, (6732221); Assigned to M-Systems (2004).
2. Bouganim, L., Jonsson, B., and Bonnet, P.: uFLIP: Understanding Flash IO Patterns. Proc. Int. Conf. on Innovative Data Systems Research (CIDR), Asilomar 2009.
3. Butt, A. R., Gniady, C., and Hu, Y.C.: The Performance Impact of Kernel Prefetching on Buffer Cache Replacement Algorithms. Proc. SIGMETRICS Conf., 157-168 (2005).
4. Graefe, G.: Database Servers Tailored to Improve Energy Efficiency. Proc. Int. Workshop on Software Engineering for Tailor-made Data Management, 24-28, Nantes, France (2008).
5. Graefe, G.: The Five-minute Rule: 20 Years Later and HowFlash Memory Changes the Rules. Proc. Third Int. Workshop on Data Management on New Hardware (DaMoN), Beijing, China (2007).
6. Gray, J., and Fitzgerald, B.: FLASH Disk Opportunity for Server-Applications. http://research.microsoft.com/~Gray/papers/FlashDiskPublic. doc (Jan. 2007).
7. Gray, J.: Tape is Dead, Disk is Tape, Flash is Disk, RAM Locality is King, powerpoint talk, Microsoft, Dec. 2006.
8. Gray, J. and Reuter, A.: Transaction Processing: Concepts and Techniques. M. Kaufmann Publisher (1993).
9. Harder, T. and Rahm, E.: Database Systems - Concepts and Implementation Techniques (in German). 2nd edition, Springer (2001).
10. Harder, T., Mathis, C., and Schmidt, K. Comparison of Complete and Elementless Native Storage of XML Documents. Proc. 11th Int. Database Engineering & Applications Symposium (IDEAS), 102-113, Banff, Canada, (2007).
11. Harder, T., Haustein, M. P., Mathis, C., and Wagner, M.: Node Labeling Schemes for Dynamic XML Documents Reconsidered. Data&Knowledge Engineering 60:1, 126-149, Elsevier (2007).
12. Haustein, M. P., and Harder, T. An Efficient Infrastructure for Native Transactional XML Processing. Data&Knowledge Engineering 61:3, 500-523, Elsevier (2007).
13. Hwang, C.: Chip memory to keep doubling annually for 10 year. http://www.korea.net/News/news/LangView.asp?serial-no=20060526020&lang-no= 5&part=106 (2006).
14. Kerekes, Z. (editor of STORAGEsearch.com): SSD Myths and Legends - write endurance. http://www.storagesearch.com/ssdmyths-endurance.html (2007).
15. Leventhal, A: Flash Storage Today. ACM Queue 6:4, 24-30 (2008).
16. MFT: Managed Flash Technology. http://www.easyco.com/mft/index.htm (2008).
17. Miklau, G.: XML Data Repository. http://www.cs.washington.edu/research/ xmldatasets.
18. Nath, S. and Kansal, A.: FlashDB: Dynamic Self-tuning Database for NAND Flash. ftp://ftp.research.microsoft.com/pub/tr/TR-2006-168.pdf (2007).
19. Nicola, M., Kogan, I., and Schiefer, B.: An XML transaction processing benchmark. Proc. ACM SIGMOD Conf., 937-948, Beijing, China (2007).
20. Shah, M. A., Harizopoulos, S., Wiener, J. L., and Graefe, G.: Fast Scans and Joins using Flash Drives. Proc. 4th Int. Workshop on Data Management on New Hardware(DaMoN), 17-24, Vancouver, Canada (2008).
21. SSD White Paper. http://www.supertalent.com/datasheets/SSD-WHITEPAPER.pdf
22. XML Database Benchmark: Transaction Processing over XML (TPoX). http://tpox.sourceforge.net/ (January 2007).