Demo Data from EDBT 2026 / reviewers in the wild / expert
Zheng-Wei Wu
dblp:256/5550
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none
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 · 50% Embedded and real-time systems · 25% Storage systems · 25% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems
memory management |
0.7 | 1 | 2023 | APP: Enabling Soft Real-Time Execution on Densely-Populated Hybrid Memory System · DAC 2023 |
Memory systems › virtual memory management
memory swapping |
0.7 | 1 | 2023 | APP: Enabling Soft Real-Time Execution on Densely-Populated Hybrid Memory System · DAC 2023 |
Embedded and real-time systems
real-time scheduling |
0.7 | 1 | 2023 | APP: Enabling Soft Real-Time Execution on Densely-Populated Hybrid Memory System · DAC 2023 |
Storage systems › storage performance
ultra-low-latency storage |
0.7 | 1 | 2023 | APP: Enabling Soft Real-Time Execution on Densely-Populated Hybrid Memory System · DAC 2023 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | APP: Enabling Soft Real-Time Execution on Densely-Populated Hybrid Memory SystemabstractMemory swapping was considered slow and evil, but swapping to Ultra Low-Latency storage like Optane has become a promising solution to save power and cost, helping densely-populated edge server to overcome its DRAM capacity bottleneck. However, the lack of integration between CPU scheduling and memory paging causes soft real-time tasks running on edge servers to miss deadlines under heavy memory multiplexing. We propose APP (Adaptive Page Pinning), lightweight protection of working set memory to ensure meeting soft real-time task deadlines without starving other non-real-time tasks. Experiments show that APP alleviates thrashing in memory-intensive tasks and upholds soft real-time task deadlines. Zheng-Wei Wu, Yun-Chih Chen, Yuan-Hao Chang 0001, Tei-Wei Kuo |
DAC | 1 |