EDBT 2026 Demo / reviewers in the wild / expert
Junkang Fu
dblp:238/5403
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 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 · 70% Distributed systems · 30% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems › fault tolerance
high availability |
0.4 | 1 | 2019 | Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure · ASPLOS 2019 |
Cloud and datacenter computing › datacenter operations
online upgrade |
0.4 | 1 | 2019 | Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure · ASPLOS 2019 |
Cloud and datacenter computing
virtualization |
0.4 | 1 | 2019 | Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure · ASPLOS 2019 |
Cloud and datacenter computing › virtualization
virtual machine monitor |
0.4 | 1 | 2019 | Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure · ASPLOS 2019 |
Distributed systems
fault tolerance |
0.1 | 1 | 2019 | Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure · ASPLOS 2019 |
Methods — techniques the papers use, named apart from their topics
kernel live patching · 0.4VM live migration · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Fast and Scalable VMM Live Upgrade in Large Cloud InfrastructureabstractHigh availability is the most important and challenging problem for cloud providers. However, virtual machine monitor (VMM), a crucial component of the cloud infrastructure, has to be frequently updated and restarted to add security patches and new features, undermining high availability. There are two existing live update methods to improve the cloud availability: kernel live patching and Virtual Machine (VM) live migration. However, they both have serious drawbacks that impair their usefulness in the large cloud infrastructure: kernel live patching cannot handle complex changes (e.g., changes to persistent data structures); and VM live migration may incur unacceptably long delays when migrating millions of VMs in the whole cloud, for example, to deploy urgent security patches. Zhi Wang 0004, Qi Li 0002, Junkang Fu, Yang Zhang 0016, Yibin Shen |
ASPLOS | 5 |