Asymptotically Optimal Multiprocessor Real-Time Locking for non-JLFP Scheduling

In prior work, a number of asymptotically optimal suspension-based real-time locking protocols have been presented for job-level fixed priority (JLFP) schedulers, where job priorities do not change. However, the optimality proofs for these locking protocols break down under non-JLFP scheduling, where job priorities can vary. In fact, the problem of designing an asymptotically optimal real-time locking protocol for general non-JLFP scheduling has remained open. This paper closes this problem by presenting the non-JLFP locking protocol (NJLP), the first asymptotically optimal suspension-based real-time locking protocol for non-JLFP schedulers.

Authors

Institutions

Publication Details

Published
2025-05-06
DOI
https://doi.org/10.1109/rtas65571.2025.00007
Citations
1
Primary Topic
Real-Time Systems Scheduling
Type
article
Field-Weighted Citation Impact
2.27

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Asymptotically Optimal Multiprocessor Real-Time Locking for non-JLFP Scheduling

Zelin Tong, Syed Qaseem Ali, James H. Anderson
1 citations
Real-Time Systems Scheduling
2.27
article

Asymptotically Optimal Multiprocessor Real-Time Locking for non-JLFP Scheduling

Zelin Tong, Syed Qaseem Ali, James H. Anderson
article en
1 citations

Abstract

In prior work, a number of asymptotically optimal suspension-based real-time locking protocols have been presented for job-level fixed priority (JLFP) schedulers, where job priorities do not change. However, the optimality proofs for these locking protocols break down under non-JLFP scheduling, where job priorities can vary. In fact, the problem of designing an asymptotically optimal real-time locking protocol for general non-JLFP scheduling has remained open. This paper closes this problem by presenting the non-JLFP locking protocol (NJLP), the first asymptotically optimal suspension-based real-time locking protocol for non-JLFP schedulers.

University of North Carolina at Chapel Hill (US)
National Science Foundation
Affordable and clean energy
Openalex Percentile: Top 15%
Real-Time Systems Scheduling
2.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Asymptotically Optimal Multiprocessor Real-Time Locking for non-JLFP Scheduling — Zelin Tong, Syed Qaseem Ali, et al. · (2025) | TGRS Research Map | TGRS