Demo Data from EDBT 2026 / reviewers in the wild / expert
Hao-Tse Chu
dblp:326/3946
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 networks
1 paper |
Cellular and mobile networks · 50% Routing and switching · 38% Software-defined and programmable networks · 12% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cellular and mobile networks
5g core network |
0.6 | 1 | 2022 | L25GC: a low latency 5G core network based on high-performance NFV platforms · SIGCOMM 2022 |
Routing and switching › router architecture
data plane forwarding |
0.6 | 1 | 2022 | L25GC: a low latency 5G core network based on high-performance NFV platforms · SIGCOMM 2022 |
Cellular and mobile networks
mobility management |
0.2 | 1 | 2022 | L25GC: a low latency 5G core network based on high-performance NFV platforms · SIGCOMM 2022 |
Software-defined and programmable networks
network function virtualization |
0.2 | 1 | 2022 | L25GC: a low latency 5G core network based on high-performance NFV platforms · SIGCOMM 2022 |
Methods — techniques the papers use, named apart from their topics
shared-memory inter-process communication · 0.6flow-level packet classification · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | L25GC: a low latency 5G core network based on high-performance NFV platformsabstractCellular network control procedures (e.g., mobility, idle-active transition to conserve energy) directly influence data plane behavior, impacting user-experienced delay. Recognizing this control-data plane interdependence, L25GC re-architects the 5G Core (5GC) network, and its processing, to reduce latency of control plane operations and their impact on the data plane. Exploiting shared memory, L25GC eliminates message serialization and HTTP processing overheads, while being 3GPP-standards compliant. We improve data plane processing by factoring the functions to avoid control-data plane interference, and using scalable, flow-level packet classifiers for forwarding-rule lookups. Utilizing buffers at the 5GC, L25GC implements paging, and an intelligent handover scheme avoiding 3GPP's hairpin routing, and data loss caused by limited buffering at 5G base stations, reduces delay and unnecessary message processing. L25GC's integrated failure resiliency transparently recovers from failures of 5GC software network functions and hardware much faster than 3GPP's reattach recovery procedure. L25GC is built based on free5GC, an open-source kernel-based 5GC implementation. L25GC reduces event completion time by ~50% for several control plane events and improves data packet latency (due to improved control plane communication) by ~2×, during paging and handover events, compared to free5GC. L25GC's design is general, although current implementation supports a limited number of user sessions. Vivek A. Jain, Hao-Tse Chu, Shixiong Qi, Chia-An Lee, Hung-Cheng Chang, Cheng-Ying Hsieh, K. K. Ramakrishnan, Jyh-Cheng Chen |
SIGCOMM | 2 |