TY - GEN
T1 - Reducing computation overhead of flash translation layer with hash
AU - Shin, Ilhoon
PY - 2010
Y1 - 2010
N2 - NAND flash memory does not support the overwrite operation and thus it deploys the flash translation layer which performs the out-place update. When designing a flash translation layer, memory consumption, computation complexity, and garbage collection overhead should be low. However, the representative sector mapping scheme of flash translation layer, FAST causes a huge computation complexity even though it minimizes the memory consumption and the garbage collection overhead. This paper presents a hashed page table for the FAST scheme to reduce the computation overhead. The simulation result shows that the presented method contributes to reduce the computation overhead considerably.
AB - NAND flash memory does not support the overwrite operation and thus it deploys the flash translation layer which performs the out-place update. When designing a flash translation layer, memory consumption, computation complexity, and garbage collection overhead should be low. However, the representative sector mapping scheme of flash translation layer, FAST causes a huge computation complexity even though it minimizes the memory consumption and the garbage collection overhead. This paper presents a hashed page table for the FAST scheme to reduce the computation overhead. The simulation result shows that the presented method contributes to reduce the computation overhead considerably.
KW - Flash translation layer
KW - Hash
KW - Log block
KW - NAND flash memory
KW - Sector mapping
UR - https://www.scopus.com/pages/publications/79952541620
M3 - Conference contribution
AN - SCOPUS:79952541620
SN - 9789604741731
T3 - Proceedings of the 9th WSEAS International Conference on Applied Computer and Applied Computational Science, ACACOS '10
SP - 126
EP - 129
BT - Proceedings of the 9th WSEAS International Conference on Applied Computer and Applied Computational Science, ACACOS '10
T2 - 9th WSEAS International Conference on Applied Computer and Applied Computational Science, ACACOS '10
Y2 - 11 April 2010 through 13 April 2010
ER -