Demo Data from SIGIR 2026 / reviewers in the wild / expert
Haizhao Luo
dblp:213/8289
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1Applied, interdisciplinary, general and emerging computing · 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 |
Embedded and real-time systems · 70% Processor architecture and microarchitecture · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Processor architecture and microarchitecture
instruction set architecture |
0.3 | 1 | 2017 | Work-in-Progress: TTI: A Timing ISA for LET Model in Safety-Critical Systems · RTSS 2017 |
Embedded and real-time systems › real-time scheduling
logical execution time |
0.3 | 1 | 2017 | Work-in-Progress: TTI: A Timing ISA for LET Model in Safety-Critical Systems · RTSS 2017 |
Embedded and real-time systems
real-time scheduling |
0.3 | 1 | 2017 | Work-in-Progress: TTI: A Timing ISA for LET Model in Safety-Critical Systems · RTSS 2017 |
Embedded and real-time systems › critical systems
safety-critical systems |
0.1 | 1 | 2017 | Work-in-Progress: TTI: A Timing ISA for LET Model in Safety-Critical Systems · RTSS 2017 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Clockwerk: A Predictable and Efficient Extension of Logical Execution Time ModelabstractReal-time systems focus on achieving fast response time, which, however, is usually accompanied by sacrificing the predictability. The Logical Execution Time (LET) model achieves I/O-predictability by fixing the timing of reading inputs and writing outputs. However, LET lacks the mechanism to react to aperiodic requests which have frequently been used in soft real-time applications. To improve aperiodic responsiveness as well as obtain predictability, in this paper, we present a component-based LET extension-Clockwerk. Clockwerk introduces the concept of Servant as basic components to make both communication and computation parts of periodic tasks predictable. By combining the LET model with the aperiodic server, Clockwerk achieves the improvement of aperiodic responsiveness. Consequently, our proposal can reduce the complexity of schedulability analysis on periodic tasks to polynomial time, and preliminary simulation results show that it also achieves an aperiodic responsiveness speedup of 4.1X-6.5X compared with existing work. Xi Li 0003, Kaiqi Zhou, Haizhao Luo, Chao Wang 0003, Xianglan Chen, Xuehai Zhou |
APSEC | 4 |
| 2017 | Work-in-Progress: TTI: A Timing ISA for LET Model in Safety-Critical SystemsabstractSafety-critical systems have suffered a complexity growth as the number of services continuously increases in these systems. The Logical Execution Time (LET) model is applied to tackle this issue due to its simple strategies and deterministic timed behaviors. However, existing implementations of LET usually rely on periodic timer interrupts of operating systems, yielding limited time precision and enormous jitter in kernel's executions. In this paper, we propose a time-triggered instruction set - TTI to augment ISA with timing properties. TTI implements as a processor architecture extension using co-processor2 interfaces in standard MIPS32. The extension mainly comprises a task management module, and a timed I/O-behaviors management module. Preliminary results show that our approach can significantly reduce overheads of LET kernel and jitters of the LET-based tasks compared to traditional implementations, which can achieve cycle-level precise timed behaviors as a result. Xi Li 0003, Haizhao Luo, Chao Wang 0003, Xianglan Chen, Xuehai Zhou |
RTSS | 3 |