EDBT 2026 Demo / reviewers in the wild / expert
Kefan Liu
dblp:258/4403
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0004-9549-6607ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author · 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 |
Memory systems · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems
remote memory |
1.0 | 1 | 2026 | RaidenSwap: A Multi-Swap Remote System for Multi-core Applications · EuroSys 2026 |
Operating systems › resource management › memory management
page swapping |
0.3 | 1 | 2026 | RaidenSwap: A Multi-Swap Remote System for Multi-core Applications · EuroSys 2026 |
Operating systems › resource management › memory management
virtual memory |
0.3 | 1 | 2026 | RaidenSwap: A Multi-Swap Remote System for Multi-core Applications · EuroSys 2026 |
Methods — techniques the papers use, named apart from their topics
swap task offloading · 2.0lock contention reduction · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | RaidenSwap: A Multi-Swap Remote System for Multi-core ApplicationsabstractKernel-based remote memory systems are gaining traction in datacenters due to their significant improvement in memory utilization and their ability to transparently provide applications with unlimited memory capacity. However, the high degree of parallelism in contemporary applications leads to a significant demand for remote access throughput, which mismatches with the state-of-the-art kernel swap path due to its inherently limited parallelism. As a result, it cannot scale up the multi-core applications. We dive into the implementation of the swap path and identify the root cause behind it - significant lock contentions and inefficient swap tasks offloading. Kefan Liu, Ke Liu 0004, Xu Zhang 0033, Ning Liu 0031, Sa Wang, Yungang Bao, Mingyu Chen 0001, Chenxi Wang 0005 |
EuroSys | 1 |