Demo Data from EDBT 2026 / reviewers in the wild / expert
Yingxin Han
dblp:279/3074
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 61% Distributed systems · 30% High-performance computing · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems › fault tolerance
failure recovery |
0.4 | 1 | 2020 | GC-Steering: GC-Aware Request Steering and Parallel Reconstruction Optimizations for SSD-Based RAIDs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2020 |
Storage systems › flash and SSD › flash memory management
garbage collection |
0.4 | 1 | 2020 | GC-Steering: GC-Aware Request Steering and Parallel Reconstruction Optimizations for SSD-Based RAIDs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2020 |
Storage systems › flash and SSD
SSD RAID |
0.4 | 1 | 2020 | GC-Steering: GC-Aware Request Steering and Parallel Reconstruction Optimizations for SSD-Based RAIDs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2020 |
High-performance computing
data-intensive computing |
0.1 | 1 | 2020 | GC-Steering: GC-Aware Request Steering and Parallel Reconstruction Optimizations for SSD-Based RAIDs · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2020 |
Methods — techniques the papers use, named apart from their topics
parallel recovery · 0.4GC-aware request steering · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | GC-Steering: GC-Aware Request Steering and Parallel Reconstruction Optimizations for SSD-Based RAIDsabstractSolid-state disk (SSD)-based redundant array of independent disks (RAIDs) have been widely deployed in high-end enterprize systems to provide high-performance and highly reliable storage for data-intensive computing. However, SSD-based RAIDs suffer from significant performance degradation whenever user I/O requests conflict with the ongoing garbage collection (GC) operations which introduce tail latency. Moreover, the performance characteristics of SSDs make the traditional HDD-based RAID reconstruction algorithms are not compatible with or suitable for SSD-based RAIDs. In this article, we proposed GC-aware request steering (GC-Steering), a scheme aware of the GC process within an SSD-based RAID, to significantly boost the performance and reliability of SSD-based RAIDs. GC-Steering effectively outsources the popular read requests and all write requests addressed to the SSD currently in the GC state to a staging space, such as a dedicated spare SSD or the reserved space of each SSD within the RAID. GC-Steering also accelerates the performance of the failure-recovery process by both request steering and parallel recovery. Our extensive evaluations on a lightweight GC-Steering prototype driven by HPC-like and real-world enterprize workloads show that the GC-Steering scheme significantly reduces the average response time by an average of 63.3% and 65.8%, compared with the state-of-the-art local GC and global GC schemes. Moreover, the GC-Steering scheme also significantly reduces the average response times by an average of 62.3% during RAID reconstruction than the normal state. Suzhen Wu, Weidong Zhu 0002, Yingxin Han, Hong Jiang 0001, Bo Mao 0003 |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 3 |