Modelling Speculative Prefetching for Hybrid Storage Systems

2010 ◽  
Author(s):  
Mais Nijim
Keyword(s):  
Storage Systems ◽  
Hybrid Storage

A machine learning assisted data placement mechanism for hybrid storage systems

2021 ◽  
pp. 102295
Author(s):  
Jinting Ren ◽  
Xianzhang Chen ◽  
Duo Liu ◽  
Yujuan Tan ◽  
Moming Duan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Storage Systems ◽  
Data Placement ◽  
Hybrid Storage

Optimizing the cost of DBaaS object placement in hybrid storage systems

2019 ◽  
Vol 93 ◽  
pp. 176-187 ◽  
Author(s):  
Djillali Boukhelef ◽  
Jalil Boukhobza ◽  
Kamel Boukhalfa ◽  
Hamza Ouarnoughi ◽  
Laurent Lemarchand
Keyword(s):  
Storage Systems ◽  
Hybrid Storage ◽  
The Cost

Cache-Enabled Metadata-Aware Storage in Linux Systems

2013 ◽  
Vol 717 ◽  
pp. 749-753
Author(s):  
Kyung Koo Jun ◽  
Se Jong Myung
Keyword(s):  
Storage Systems ◽  
Hybrid Storage ◽  
Original Scheme ◽  
Overall Performance

Hybrid storage systems integrate slower HDDs with faster SSDs to improve overall performance. To this end, various research efforts have investigated how to use SSDs as cache for HDDs. One of them proposes to cache only metadata blocks because all IO requests are accompanied with the requests to the metadata blocks before issuing the requests for the data blocks. However, our evaluation of the method could not confirm the claimed improvement. It motivated us to modify the method to integrate the caching functionality. The implementation of the proposed method in the Linux systems required to address several challenging issues. The evaluation results showed that the proposed method improved the performance by at least 90% over the original scheme. It implicitly means that caching the data blocks has more significant impact on performance than the metadata caching.

Sign in / Sign up

Export Citation Format

Share Document