Demo Data from VLDB 2026 / reviewers in the wild / expert
Guanqun Dong
dblp:181/8591
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 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
1 paper |
Storage systems · 50% Cloud and datacenter computing · 50% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › storage architecture › block storage
cloud block storage |
0.9 | 1 | 2025 | Evolving the Cloud Block Store with Performance, Elasticity, Availability, and Hardware Offloading · ACM Trans. Storage 2025 |
Cloud and datacenter computing › cloud storage
elastic block storage |
0.9 | 1 | 2025 | Evolving the Cloud Block Store with Performance, Elasticity, Availability, and Hardware Offloading · ACM Trans. Storage 2025 |
Storage systems
storage reliability |
0.3 | 1 | 2025 | Evolving the Cloud Block Store with Performance, Elasticity, Availability, and Hardware Offloading · ACM Trans. Storage 2025 |
Methods — techniques the papers use, named apart from their topics
qualitative and quantitative analysis · 0.9production experience · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Evolving the Cloud Block Store with Performance, Elasticity, Availability, and Hardware OffloadingabstractIn this paper, we qualitatively and quantitatively discuss the design choices, production experience, and lessons in building the Elastic Block Storage ( EBS ) at Alibaba Cloud over the past decade. To cope with hardware advancement and users’ demands, we shift our focus from design simplicity in EBS1 to high performance and space efficiency in EBS2 , and finally reducing network traffic amplification in EBS3 . In addition to the architectural evolutions, we also summarize development lessons and experiences as four topics, including: (i) achieving high elasticity in latency, throughput, IOPS, and capacity; (ii) improving availability by minimizing the blast radius of individual, regional, and global failure events; (iii) identifying the motivations and key tradeoffs in various hardware offloading solutions; and (iv) identifying the pros/cons of alternative solutions and explaining why seemingly promising ideas would not work in practice. Erci Xu, Weidong Zhang 0011, Qiuping Wang, Yuesheng Gu, Zhenwei Lu, Tao Ouyang, Guanqun Dong, Wenwen Peng, Yilei Peng, Tianyun Wang, Wenyuan Yan, Wenhui Yao, Zhongjie Wu, Lingjun Zhu, Yinhu Wang, Junping Wu, Jiaji Zhu, Jiesheng Wu |
ACM Trans. Storage | 8 |