Demo Data from EDBT 2026 / reviewers in the wild / expert
Zhizhou Yang
dblp:149/7862
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—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 |
Cloud and datacenter computing · 54% GPUs and heterogeneous computing · 46% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing › cloud applications
cloud gaming |
0.2 | 1 | 2014 | VGRIS: Virtualized GPU Resource Isolation and Scheduling in Cloud Gaming · ACM Trans. Archit. Code Optim. 2014 |
GPUs and heterogeneous computing
GPU resource management |
0.2 | 1 | 2014 | VGRIS: Virtualized GPU Resource Isolation and Scheduling in Cloud Gaming · ACM Trans. Archit. Code Optim. 2014 |
GPUs and heterogeneous computing › GPU resource management
GPU virtualization |
0.2 | 1 | 2014 | VGRIS: Virtualized GPU Resource Isolation and Scheduling in Cloud Gaming · ACM Trans. Archit. Code Optim. 2014 |
Cloud and datacenter computing › resource management
resource isolation |
0.2 | 1 | 2014 | VGRIS: Virtualized GPU Resource Isolation and Scheduling in Cloud Gaming · ACM Trans. Archit. Code Optim. 2014 |
Cloud and datacenter computing
virtualization |
0.1 | 1 | 2014 | VGRIS: Virtualized GPU Resource Isolation and Scheduling in Cloud Gaming · ACM Trans. Archit. Code Optim. 2014 |
Methods — techniques the papers use, named apart from their topics
scheduling API framework · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | VGRIS: Virtualized GPU Resource Isolation and Scheduling in Cloud GamingabstractTo achieve efficient resource management on a graphics processing unit (GPU), there is a demand to develop a framework for scheduling virtualized resources in cloud gaming. In this article, we propose VGRIS, a resource management framework for virtualized GPU resource isolation and scheduling in cloud gaming. A set of application programming interfaces (APIs) is provided so that a variety of scheduling algorithms can be implemented within the framework without modifying the framework itself. Three scheduling algorithms are implemented by the APIs within VGRIS. Experimental results show that VGRIS can effectively schedule GPU resources among various workloads. Zhengwei Qi, Jianguo Yao 0002, Chao Zhang 0115, Zhizhou Yang, Haibing Guan |
ACM Trans. Archit. Code Optim. | 5 |