Demo Data from EDBT 2026 / reviewers in the wild / expert
Chun-Hao Kao
dblp:180/3774
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author
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 |
Embedded and real-time systems · 50% Energy-efficient computing · 50% | |
| 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 |
|---|---|---|---|---|
Embedded and real-time systems
mobile computing |
0.2 | 1 | 2016 | Similarity-based wakeup management for mobile systems in connected standby · DAC 2016 |
Energy-efficient computing
power management |
0.2 | 1 | 2016 | Similarity-based wakeup management for mobile systems in connected standby · DAC 2016 |
Operating systems › mobile systems › mobile operating systems
mobile OS power management |
0.1 | 1 | 2016 | Similarity-based wakeup management for mobile systems in connected standby · DAC 2016 |
Methods — techniques the papers use, named apart from their topics
time similarity · 0.5hardware similarity · 0.5alarm similarity · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Similarity-based wakeup management for mobile systems in connected standbyabstractResident applications, which autonomously awaken mobile devices, can gradually and imperceptibly drain device batteries. This paper introduces the concept of alarm similarity into wakeup management for mobile systems in connected standby. First, we define hardware similarity to reflect the degree of energy savings and time similarity to reflect the impact on user experience. We then propose a policy that aligns alarms based on their similarity to save standby energy while maintaining the quality of the user experience. Finally, we integrate our design into Android and conduct extensive experiments on a commercial smartphone running popular mobile apps. The results demonstrate that our design can further extend the standby time achieved with Android's native policy by up to one-third. Chun-Hao Kao, Sheng-Wei Cheng, Pi-Cheng Hsiu |
DAC | 1 |