A Scalable HW-Based Inline Deduplication for SSD Arrays
| Autor: | Joonsung Kim, Jangwoo Kim, Dongup Kwon, Mohammadamin Ajdari, Pyeongsu Park |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010302 applied physics
business.industry Computer science CPU time 02 engineering and technology 01 natural sciences 020202 computer hardware & architecture File server Hardware and Architecture Embedded system Server 0103 physical sciences Scalability Data_FILES 0202 electrical engineering electronic engineering information engineering Overhead (computing) Data deduplication Central processing unit business Throughput (business) |
| Zdroj: | IEEE Computer Architecture Letters. 17:47-50 |
| ISSN: | 1556-6056 |
| DOI: | 10.1109/lca.2017.2753258 |
| Popis: | SSD arrays are becoming popular in modern storage servers as a primary storage, and they aim to reduce the high cost of the devices by performing inline deduplications. Unfortunately, existing software-based inline deduplications cannot achieve the devices’ maximum throughput due to their high CPU utilization and power overhead. A recently proposed approach to perform device-wide deduplications inside each SSD can distribute the CPU overhead among multiple SSDs, but it also suffers from severely decreasing deduplication opportunities with the increasing number of SSDs deployed per node. Therefore, we propose a node-wide deduplication engine that relies on specialized hardware to perform two key steps of deduplication; data signature generation and table management. Our FPGA-based prototype detects all duplicates, and compared to software-based inline deduplication, it reduces the overall CPU utilization and power consumption by 93.6 and $\sim$ 20 percent respectively for a slow baseline and more for faster baselines. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|