EDBT 2026 Demo / reviewers in the wild / expert
Zican Huang
dblp:214/5863
· DBLP profile ↗
3ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 1 since 2021Databases, data management, data science and information retrieval · 2 · 1 since 2021
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
3 papers |
Storage systems · 76% Parallel and multicore computing · 24% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › storage reliability
RAID |
0.9 | 3 | 2021 | Determining Data Distribution for Large Disk Enclosures with 3-D Data Templates · ACM Trans. Storage 2020 RAID+: Deterministic and Balanced Data Distribution for Large Disk Enclosures · FAST 2018 FusionRAID: Achieving Consistent Low Latency for Commodity SSD Arrays · FAST 2021 |
Parallel and multicore computing
data distribution |
0.8 | 2 | 2020 | Determining Data Distribution for Large Disk Enclosures with 3-D Data Templates · ACM Trans. Storage 2020 RAID+: Deterministic and Balanced Data Distribution for Large Disk Enclosures · FAST 2018 |
Storage systems › flash and SSD
SSD array |
0.5 | 1 | 2021 | FusionRAID: Achieving Consistent Low Latency for Commodity SSD Arrays · FAST 2021 |
Storage systems › repair
data reconstruction |
0.4 | 1 | 2020 | Determining Data Distribution for Large Disk Enclosures with 3-D Data Templates · ACM Trans. Storage 2020 |
Storage systems › magnetic storage
disk storage |
0.3 | 1 | 2018 | RAID+: Deterministic and Balanced Data Distribution for Large Disk Enclosures · FAST 2018 |
Methods — techniques the papers use, named apart from their topics
mutually orthogonal latin squares · 0.4deterministic addressing · 0.4data distribution · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | FusionRAID: Achieving Consistent Low Latency for Commodity SSD Arrays
Tianyang Jiang, Guangyan Zhang, Zican Huang, Xiaosong Ma, Junyu Wei, Zhiyue Li |
FAST | 3 |
| 2020 | Determining Data Distribution for Large Disk Enclosures with 3-D Data TemplatesabstractConventional RAID solutions with fixed layouts partition large disk enclosures so that each RAID group uses its own disks exclusively. This achieves good performance isolation across underlying disk groups, at the cost of disk under-utilization and slow RAID reconstruction from disk failures. We propose RAID+, a new RAID construction mechanism that spreads both normal I/O and reconstruction workloads to a larger disk pool in a balanced manner. Unlike systems conducting randomized placement, RAID+ employs deterministic addressing enabled by the mathematical properties of mutually orthogonal Latin squares, based on which it constructs 3-D data templates mapping a logical data volume to uniformly distributed disk blocks across all disks. While the total read/write volume remains unchanged, with or without disk failures, many more disk drives participate in data service and disk reconstruction. Our evaluation with a 60-drive disk enclosure using both synthetic and real-world workloads shows that RAID+ significantly speeds up data recovery while delivering better normal I/O performance and higher multi-tenant system throughput. Guangyan Zhang, Zhufan Wang, Xiaosong Ma, Zican Huang |
ACM Trans. Storage | 5 |
| 2018 | RAID+: Deterministic and Balanced Data Distribution for Large Disk Enclosures
Guangyan Zhang, Zican Huang, Xiaosong Ma, Zhufan Wang |
FAST | 2 |