Junkang Fu

dblp:238/5403 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Distributed systems › fault tolerance
high availability
0.412019
Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure · ASPLOS 2019
Cloud and datacenter computing › datacenter operations
online upgrade
0.412019
Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure · ASPLOS 2019
Cloud and datacenter computing
virtualization
0.412019
Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure · ASPLOS 2019
Cloud and datacenter computing › virtualization
virtual machine monitor
0.412019
Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure · ASPLOS 2019
Distributed systems
fault tolerance
0.112019
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
YearPublicationVenuePosition
2019 Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure
abstract
High 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
ASPLOS5