Demo Data from EDBT 2026 / reviewers in the wild / expert
Shuzhan Wei
dblp:206/9315
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author
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 · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › file systems
cluster file systems |
0.3 | 1 | 2017 | DSC: Dynamic stripe construction for asynchronous encoding in clustered file system · INFOCOM 2017 |
Storage systems › file systems
distributed file system |
0.3 | 1 | 2017 | DSC: Dynamic stripe construction for asynchronous encoding in clustered file system · INFOCOM 2017 |
Storage systems › storage reliability
erasure coding |
0.3 | 1 | 2017 | DSC: Dynamic stripe construction for asynchronous encoding in clustered file system · INFOCOM 2017 |
Methods — techniques the papers use, named apart from their topics
dynamic stripe construction · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | DSC: Dynamic stripe construction for asynchronous encoding in clustered file systemabstractNowadays many clustered file systems adopt asynchronous encoding which transforms replicated data into erasure coding to maintain data availability with bounded storage overhead. Existing implementations of asynchronous encoding construct coding stripes with logically sequential data blocks, which suffers from heavy cross-rack traffic and necessitates data block redistribution. Recent work [12] solves this problem by carefully distributing replicated data blocks among racks at the time when they are being written, but it is not applicable to the cases when existing systems have different data layouts or the data layout changes. In this paper, we propose Dynamic Stripe Construction (DSC) to transform N-way replication to erasure coding. DSC does not induce to any cross-rack traffic for encoding, and it does not require data block redistribution after encoding. Besides, DSC is general enough to be applied to any existing CFSes with various erasure codes, and it can also be deployed on a distributed file system in a hot-plugging-in manner. To validate the effectiveness of DSC, we implement it on HDFS. Through extensive testbed experiments in a real storage cluster, we show that DSC can significantly increase the encoding throughput and reduce the foreground user response time over the traditional approach. Shuzhan Wei, Yongkun Li 0001, Yinlong Xu 0001, Si Wu 0003 |
INFOCOM | 1 |