UFLIP: Understanding flash IO patterns

CIDR 2009 - 4th Biennal Conference on Innovative Data Systems Research

Volumn , Issue , 2009, Pages

  Bouganim, Luc ^a   Jónsson, Björnór ^b   Bonnet, Philippe ^c  

^a LABORATOIRE DES SCIENCES DU CLIMAT ET DE L ENVIRONNEMENT   (France)

^b REYKJAVIK UNIVERSITY   (Iceland)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Benchmarking; Flash devices; Methodology; UFLIP

Indexed keywords

BENCHMARKING METHODOLOGY; FLASH DEVICES; METHODOLOGY; NEW FORMS; ON CURRENTS; PERFORMANCE CHARACTERISTICS; SECONDARY STORAGE; UFLIP;

BENCHMARKING; DATABASE SYSTEMS;

EQUIPMENT;

EID: 84858651045     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Ajwani, D., Malinger, I., Meyer, U., Toledo, S. Characterizing the performance of flash memory storage devices and its impact on algorithm design. Proc. Workshop on Experimental Algorithms (WEA), Provincetown, MA, USA, 2008.
2. Blackburn, S. M., McKinley, K. S., Garner, R., Hoffmann, C., Khan, A. M., Bentzur, R., Diwan, A., Feinberg, D., Frampton, D., Guyer, S. Z., Hirzel, M., Hosking, A., Jump, M., Lee, H., Moss, J. B., Phansalkar, A., Stefanovik, D., VanDrunen, T., von Dincklage, D., and Wiedermann, B. Wake up and smell the coffee: Evaluation methodology for the 21st century. Communications of the ACM, 51(8), 2008.
3. Gal, E., Toledo, S. Algorithms and data structures for flash memories. ACM Computing Surveys, 37(2), 2005.
4. Graefe, G. The five-minute rules twenty years later, and how flash memory changes the rules. Proc. Data Management on New Hardware (DaMoN), Beijing, China, 2007.
5. Gray, J. Tape is dead, disk is tape, flash is disk, RAM locality is king. Pres. at the CIDR Gong Show, Asilomar, CA, USA, 2007.
6. Gray, J. The Benchmark Handbook for Database and Transaction Systems (2nd Edition). Morgan Kaufmann, 1993.
7. Huang, P.-C., Chang, Y.-H., Kuo, T.-W., Hsieh, J.-W., Lin, M. The behavior analysis of flash-memory storage systems. Proc. IEEE Symposium on Object-Oriented Real-Time Distributed Computing (ISORC), Orlando, FL, USA, 2008.
8. Lee, S.-W., Moon, B. Design of flash-based DBMS: An inpage logging approach. Proc. ACM SIGMOD, Beijing, China, 2007.
9. Lee, S.-W., Moon, B., Park, C., Kim, J.-M., Kim, S.-W. A case for flash memory SSD in enterprise database applications. Proc. ACM SIGMOD, Vancouver, BC, Canada, 2008.
10. Myers, D. On the use of NAND flash memory in highperformance relational databases. Master's thesis, MIT, 2008.
11. Nath, S., Kansal, A. Flash DB: Dynamic self-tuning database for NAND flash. Proc. Information Processing in Sensor Networks, Cambridge, MA, USA, 2007.
12. Shah, A. Samsung, Microsoft in talks to speed up SSDs on Vista. ComputerWorld (computerworld.com), August 18, 2008.
13. Trayger, A., Zadok, E., Joukov, N., Wright, C. P. A nine year study of file system and storage benchmarking. ACM Transactions on Storage, 4(2), 2008.
14. Wu, C.-H., Kuo, T.-W. An efficient B-tree layer implementation for flash-memory storage systems. ACM Transactions on Embedded Computing Systems, 6(3), 2007.