Please use this identifier to cite or link to this item: https://doi.org/10.1109/MSST.2011.5937217
Title: WAFTL: A workload adaptive flash translation layer with data partition
Authors: Qingsong, W.
Bozhao, G.
Pathak, S.
Veeravalli, B. 
Lingfang, Z. 
Okada, K.
Keywords: Data Partition
Flash Memory
Flash Translation Layer
Solid State Drive
Issue Date: 2011
Source: Qingsong, W.,Bozhao, G.,Pathak, S.,Veeravalli, B.,Lingfang, Z.,Okada, K. (2011). WAFTL: A workload adaptive flash translation layer with data partition. IEEE Symposium on Mass Storage Systems and Technologies : -. ScholarBank@NUS Repository. https://doi.org/10.1109/MSST.2011.5937217
Abstract: Current FTL schemes have inevitable limitations in terms of memory requirement, performance, garbage collection overhead, and scalability. To overcome these limitations, we propose a workload adaptive flash translation layer referred to as WAFTL. WAFTL explores either page-level or block-level address mapping for normal data block based on access patterns. Page Mapping Block (PMB) is used to store random data and handle large number of partial updates. Block Mapping Block (BMB) is utilized to store sequential data and lower overall mapping table. PMB or BMB is allocated on demand and the number of PMB or BMB eventually depends on workload. An efficient address mapping is designed to reduce overall mapping table and quickly conduct address translation. WAFTL explores a small part of flash space as Buffer Zone to log writes sequentially and migrate data into BMB or PMB based on threshold. Static and dynamic threshold setting are proposed to balance performance and mapping table size. WAFTL has been extensively evaluated under various enterprise workloads. Benchmark results conclusively demonstrate that proposed WAFTL is workload adaptive and achieves up to 80% performance improvement, 83% garbage collection overhead reduction and 50% mapping table reduction compared to existing FTL schemes. © 2011 IEEE.
Source Title: IEEE Symposium on Mass Storage Systems and Technologies
URI: http://scholarbank.nus.edu.sg/handle/10635/72178
ISBN: 9781457704284
ISSN: 21601968
DOI: 10.1109/MSST.2011.5937217
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