Demo Data from EDBT 2026 / reviewers in the wild / expert
Jerry Qu
dblp:201/3685
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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 architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › data compression
transparent compression |
0.3 | 1 | 2017 | Realizing Transparent OS/Apps Compression in Mobile Devices at Zero Latency Overhead · IEEE Trans. Computers 2017 |
Storage systems › storage devices › storage media
mobile storage |
0.1 | 1 | 2017 | Realizing Transparent OS/Apps Compression in Mobile Devices at Zero Latency Overhead · IEEE Trans. Computers 2017 |
Methods — techniques the papers use, named apart from their topics
file system design · 0.3decompression offload · 0.3ASIC synthesis · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Realizing Transparent OS/Apps Compression in Mobile Devices at Zero Latency OverheadabstractMotivated by the significant storage footprint of OS/Apps in mobile devices, this paper studies the realization of OS/Apps transparent compression. In spite of its obvious advantage, this feature however is not widely available in commercial mobile devices, which is due to the justifiable concern on the read latency penalty. In conventional practice on implementing transparent compression, read latency overhead comes from two aspects, including read amplification and decompression computational latency. This paper presents simple yet effective design solutions to eliminate the read amplification at the filesystem level and eliminate the computational latency overhead at the computer architecture level. To demonstrate its practical feasibility, we first implemented a prototyping filesystem to empirically verify the realization of transparent compression with zero read amplification. We further demonstrated that the OS/Apps footprint can be reduced by up to 39 percent on a Nexus 7 tablet installed with Android 5.0. Through application-specific integrated circuit (ASIC) synthesis, we show that the proposed computer architecture level design solution can eliminate the decompression latency overhead with very small silicon cost. Jiangpeng Li, Hao Wang 0042, Danni Xiong, Jerry Qu, Hyunsuk Shin, Jung Pill Kim, Tong Zhang 0002 |
IEEE Trans. Computers | 5 |