EDBT 2026 Demo / reviewers in the wild / expert
Ching-Yu Kuo
dblp:332/4856
· 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
Systems, architecture and hardware · 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 architecture, parallel and distributed computing, and storage systems
1 paper |
Memory systems · 40% Embedded and real-time systems · 40% Storage systems · 20% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems
energy harvesting devices |
0.6 | 1 | 2022 | iNVMFS: An Efficient File System for NVRAM-Based Intermittent Computing Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022 |
Storage systems
file systems |
0.6 | 1 | 2022 | iNVMFS: An Efficient File System for NVRAM-Based Intermittent Computing Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022 |
Embedded and real-time systems
intermittent computing |
0.6 | 1 | 2022 | iNVMFS: An Efficient File System for NVRAM-Based Intermittent Computing Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022 |
Memory systems
non-volatile memory |
0.6 | 1 | 2022 | iNVMFS: An Efficient File System for NVRAM-Based Intermittent Computing Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022 |
Memory systems › non-volatile memory
NVRAM |
0.6 | 1 | 2022 | iNVMFS: An Efficient File System for NVRAM-Based Intermittent Computing Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022 |
Methods — techniques the papers use, named apart from their topics
fine-grained checkpointing · 0.6byte-addressable in-place writing · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | iNVMFS: An Efficient File System for NVRAM-Based Intermittent Computing DevicesabstractDeveloping toward battery-less, energy-harvesting designs is a promising direction for sensor-scale devices. The recent introduction of byte-addressable, nonvolatile memory (NVRAM) enables intermittent computing, which preserves as much program progress across power interruptions as possible using fine-grained checkpoints. Sensing applications strongly demand local storage for near-data processing, and there is no exception for intermittent computing devices. While checkpointing on program progress is being studied recently, there is little work regarding how sensor file systems support intermittent computing. On power recovery, although the program progress is reverted to the latest checkpoint, the storage state stays at the instant of power loss. To remedy this problem, we present a lightweight file system for efficient operations on files and checkpoints. Our design exploits the byte addressability of NVRAM and uses as much in-place byte writing as possible while guaranteeing the safety of checkpoint operations. We evaluated our design against two prior checkpoint-enabled file systems, and results show that on average, our design reduced the total time overhead and energy consumption by 77% and 78%, respectively. Ying-Jan Wu, Ching-Yu Kuo, Li-Pin Chang |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2 |