Demo Data from VLDB 2026 / reviewers in the wild / expert
Guotao Tan
dblp:434/0803
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0000-3575-0168ORCID · reported
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 |
Cloud and datacenter computing · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Operating systems › system security › operating system security › protection mechanism › isolation
kernel isolation |
1.0 | 1 | 2026 | SKernel: An Elastic and Efficient Secure Container System at Scale with a Split-Kernel Architecture · EuroSys 2026 |
Cloud and datacenter computing › cloud security
secure container runtime |
1.0 | 1 | 2026 | SKernel: An Elastic and Efficient Secure Container System at Scale with a Split-Kernel Architecture · EuroSys 2026 |
Cloud and datacenter computing
virtualization |
1.0 | 1 | 2026 | SKernel: An Elastic and Efficient Secure Container System at Scale with a Split-Kernel Architecture · EuroSys 2026 |
Cloud and datacenter computing › autoscaling
container autoscaling |
0.3 | 1 | 2026 | SKernel: An Elastic and Efficient Secure Container System at Scale with a Split-Kernel Architecture · EuroSys 2026 |
Methods — techniques the papers use, named apart from their topics
split-kernel architecture · 2.0hardware virtualization · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | SKernel: An Elastic and Efficient Secure Container System at Scale with a Split-Kernel ArchitectureabstractSecure containers leverage hardware virtualization to isolate container sandboxes, enabling dedicated guest kernels to mitigate shared kernel attacks prevalent in traditional systems. However, existing approaches struggle with a fundamental trade-off: VM-based solutions (e.g., Kata) prioritize performance but lack elasticity and on-demand usage for volatile and bursty workloads, while lightweight methods (e.g., gVisor) rely on the host kernel for dynamic resource management at the cost of significant performance degradation due to guest-host dependencies. Xiaohu Chai, Keyang Hu, Jianfeng Tan, Tiwei Bie, Guotao Tan, Anqi Shen, Dawei Shen, Xinyao Yang, Zhengyu He, Dong Du 0003, Yubin Xia, Kang Chen 0001, Yu Chen 0004 |
EuroSys | 5 |