Understanding intrinsic characteristics and system implications of flash memory based solid state drives

By Feng Chen, David A. Koufaty, Xiaodong Zhang. Measurement and Modeling of Computer Systems, 2009

569 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/2cd59d501e38cd2719de329e5a42a3b2a87b1b96

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Steven Swanson
2. Jian Xu
3. Rubao Lee
4. Xiaodong Zhang
5. Feng Chen
6. Tian Luo

In Hardware and Architecture

1. Steven Swanson
2. Jian Xu
3. Rubao Lee
4. Xiaodong Zhang
5. Feng Chen
6. Tian Luo

Citations in the corpus

• CAFTL: A Content-Aware Flash Translation Layer Enhancing the Lifespan of Flash Memory based Solid State Drives (2011, background): “[6,9,13,15–18,20,23,26–29,31,34,37,38,42,44] ).”
• Performance impact and interplay of SSD parallelism through advanced commands, allocation strategy and data granularity (2011, background): “…management and Flash Translation Layer (FTL), from perfor­mance to endurance and energy efficiency, have been extensively studied in the literature, the SSD being studied was by and large treated as a grey or black box in that many of the internal features such as advanced commands,…”
• NOVA: A Log-structured File System for Hybrid Volatile/Non-volatile Main Memories (2016, methodology): “SSDs also perform best under sequential workloads [9] [14], so LFS techniques have been applied to SSD file systems as well.”
• Essential roles of exploiting internal parallelism of flash memory based solid state drives in high-speed data processing (2011, methodology): “• Readahead improves read performance on SSDs but it is sensitive to read patterns [6].”