Demo Data from EDBT 2026 / reviewers in the wild / expert
Yujie Liu 0010
dblp:60/7006-10
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0002-2372-8737ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-authorSoftware 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 networks
1 paper |
Software-defined and programmable networks · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software-defined and programmable networks
network function virtualization |
0.4 | 1 | 2020 | Consistent State Updates for Virtualized Network Function Migration · IEEE Trans. Serv. Comput. 2020 |
Software-defined and programmable networks › network function virtualization
virtual network function migration |
0.4 | 1 | 2020 | Consistent State Updates for Virtualized Network Function Migration · IEEE Trans. Serv. Comput. 2020 |
Methods — techniques the papers use, named apart from their topics
tagging-based scheme · 0.4controller-forwarding scheme · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Consistent State Updates for Virtualized Network Function MigrationabstractCombining Network Functions Virtualization (NFV) with Software-Defined Networking (SDN) is an emerging and promising solution to provide scalable and elastic network control and service. In such a system, virtualized Network Functions (NFs) need to be consistently migrated from one instance to another for various purposes, such as resource optimization, fault tolerance, load balancing, etc. These migrations involve simultaneously coordinating updates to the NF state and SDN forwarding state. To solve this problem, we design two consistent NF state update schemes: a controller-forwarding based scheme and a tagging-based scheme. Through analysis of the update process, we demonstrate that they both guarantee loss-free and order-preserving migrations. We further implement a prototype and carry out experiments with diverse traffic settings. Results demonstrate that the controller-forwarding based solution achieves 77 percent migration time compared with the state-of-the-art solution OpenNF, while correcting an error of it. Moreover, the tagging-based solution not only achieves 4.4 percent migration time, but also reduces up to 75 percent controller overhead compared with OpenNF at the cost of adding a tag in the unused fields of packet header. Yujie Liu 0010, Jiaqiang Liu, Yong Li 0008, Haoyu Song 0001, Yue Wang 0007 |
IEEE Trans. Serv. Comput. | 2 |
| 2015 | Optimal scheduling for multi-flow update in Software-Defined Networks
Yujie Liu 0010, Yong Li 0008, Yue Wang 0007 |
J. Netw. Comput. Appl. | 1 |