Demo Data from SIGIR 2026 / reviewers in the wild / expert
Xuanran Zong
dblp:56/9976
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Computer networks · 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 |
Performance modeling and evaluation · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation › performance prediction
application performance prediction |
0.1 | 1 | 2011 | CloudProphet: towards application performance prediction in cloud · SIGCOMM 2011 |
Methods — techniques the papers use, named apart from their topics
trace-and-replay · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | An equation-based Heap Sizing Rule
Y. C. Tay, Xuanran Zong |
Perform. Evaluation | 2 |
| 2011 | CloudProphet: towards application performance prediction in cloudabstractChoosing the best-performing cloud for one's application is a critical problem for potential cloud customers. We propose CloudProphet, a trace-and-replay tool to predict a legacy application's performance if migrated to a cloud infrastructure. CloudProphet traces the workload of the application when running locally, and replays the same workload in the cloud for prediction. We discuss two key technical challenges in designing CloudProphet, and some preliminary results using a prototype implementation. Ang Li 0002, Xuanran Zong, Srikanth Kandula, Xiaowei Yang 0001, Ming Zhang 0005 |
SIGCOMM | 2 |