scholarly journals High-Performance Multi-Stream Management for SSDs

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 486
Author(s):  
Yongjae Chun ◽  
Kyeore Han ◽  
Youpyo Hong
Keyword(s):  
Solid State ◽  
High Performance ◽  
Data Centers ◽  
Consumer Electronics ◽  
Input Output ◽  
Solid State Drives ◽  
Stream Management ◽  
Group Data ◽  
Separate Area

Owing to their advantages over hard disc drives (HDDs), solid-state drives (SSDs) are widely used in many applications, including consumer electronics and data centers. As erase operations are feasible only in block units, modification or deletion of pages cause invalidation of the pages in their corresponding blocks. To reclaim these invalid pages, the valid pages in the block are copied to other blocks, and the block with the invalid pages is initialized, which adversely affects the performance and durability of the SSD. The objective of a multi-stream SSD is to group data by their expected lifetimes and store each group of data in a separate area called a stream to minimize the frequency of wasteful copy-back and initialization operations. In this paper, we propose an algorithm that groups the data based on input/output (I/O) types and rewrite frequency, which show significant improvements over existing multi-stream algorithms not only for performance but also for effectiveness in covering most applications.

scholarly journals iLife: Safely Extending Lifetime for Memory-Oriented SSD

Electronics ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 610
Author(s):  
Erci Xu ◽  
Shanshan Li
Keyword(s):  
Solid State ◽  
Early Retirement ◽  
Data Centers ◽  
Solid State Drives ◽  
Data Retention ◽  
Lifetime Estimation ◽  
Different Types ◽  
Device Lifetime ◽  
The Relationship ◽  
Lifetime Extension

Currently, the roles of SSDs have been diversified significantly. Apart for storage purposes, users can also utilize flash drives to cache hot data or buffering incoming writes to achieve high throughput. In this case, the endurance study of Solid State Drives (SSDs) has become an increasingly important topic as users rely on such research to reliably avoid early retirement of their old drives in laptops or machines in data centers. However, current manufacturers adopt Program/Erase (P/E) cycle-based life indicators to estimate the remaining lifetime of an SSD, which is often too conservative due to longtime data retention concerns. In this paper, we begin by analyzing the inaccuracy and other potential issues of existing P/E cycle-based life indicators for SSDs under memory-oriented workloads. To construct an accurate life indicator, we conduct a more extensive and sophisticated experiment to wear out eight SSDs from four different vendors. By monitoring the device status extracted from the standard S.M.A.R.T.attributes in the experiment, we make eleven interesting findings on the relationship between the device lifetime and different types of errors observed. Based on our unique findings, we propose iLife, a pattern-based life indicator for SSDs under memory-oriented workloads. Our evaluation of iLife on a different set of six SSDs shows that iLife is a more accurate life indicator, with an average of 14.2% higher accuracy on lifetime estimation and up to 21.2% safe lifetime extension compared to existing P/E cycle-based indicators.

Sign in / Sign up

Export Citation Format

Share Document