Demo Data from VLDB 2026 / reviewers in the wild / expert
Xiao Wang 0084
dblp:49/67-84
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0003-3293-6436ORCID · verified
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% |
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 › virtualization
device pass-through |
0.8 | 1 | 2024 | Un-IOV: Achieving Bare-Metal Level I/O Virtualization Performance for Cloud Usage With Migratability, Scalability and Transparency · IEEE Trans. Computers 2024 |
Cloud and datacenter computing › virtualization
i/o virtualization |
0.8 | 1 | 2024 | Un-IOV: Achieving Bare-Metal Level I/O Virtualization Performance for Cloud Usage With Migratability, Scalability and Transparency · IEEE Trans. Computers 2024 |
Cloud and datacenter computing › virtualization › virtual machine migration
live migration |
0.8 | 1 | 2024 | Un-IOV: Achieving Bare-Metal Level I/O Virtualization Performance for Cloud Usage With Migratability, Scalability and Transparency · IEEE Trans. Computers 2024 |
Cloud and datacenter computing › virtualization
paravirtualization |
0.8 | 1 | 2024 | Un-IOV: Achieving Bare-Metal Level I/O Virtualization Performance for Cloud Usage With Migratability, Scalability and Transparency · IEEE Trans. Computers 2024 |
Cloud and datacenter computing › virtualization
virtual machine migration |
0.8 | 1 | 2024 | Un-IOV: Achieving Bare-Metal Level I/O Virtualization Performance for Cloud Usage With Migratability, Scalability and Transparency · IEEE Trans. Computers 2024 |
Methods — techniques the papers use, named apart from their topics
virtio accelerator · 0.8SR-IOV · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Un-IOV: Achieving Bare-Metal Level I/O Virtualization Performance for Cloud Usage With Migratability, Scalability and TransparencyabstractI/O virtualization is utilized by cloud platforms to provide tenants with efficient, scalable, and manageable network and storage services. The de-facto industrial standard, paravirtualization, offers rich cloud functionality by introducing split front-end and back-end drivers in the guest and host operating systems, respectively. Given this fact, paravirtualization incurs host inefficiency and performance overhead. Thus, emerging hardware virtio accelerators (i.e., SRIOV-capable devices that conform to virtio specification) with device passthrough technologies mitigate the performance issue. However, adopting these devices presents the challenge of insufficient support for live migration.This paper proposes Un-IOV, a novel I/O virtualization system that simultaneously achieves bare-metal level I/O performance and migratability. The key idea is to develop a new hybrid virtualization stack with: (1) a host-bypassed direct data path for virtio accelerators, and (2) a relayed control path guaranteeing seamless live migration support. Un-IOV achieves high scalability by consuming minimum host resources. Extensive experiment results demonstrate that Un-IOV achieves superior network and storage virtualization performance than software implementations with comparable performance of direct passthrough I/O virtualization, while imposing zero guest modification (i.e., guest transparency). Zongpu Zhang, Chenbo Xia, Cunming Liang, Jian Li 0021, Chen Yu 0003, Tiwei Bie, Roberts Martin, Dan Daly, Xiao Wang 0084, Haibing Guan |
IEEE Trans. Computers | 9 |