@inproceedings{2938b4f49b8041d3ac78f976db59adec,
title = "Work-in-Progress: Cache-Aware Partitioned EDF Scheduling for Multi-core Real-Time Systems",
abstract = "As the number of cores and utilization of the system are increasing quickly, shared resources like caches are interfering tasks' execution behaviors more heavily. In order to achieve resource efficiency in both temporal and spatial domains for multi-core real-time systems, caches should be taken into consideration when performing partitions. In this paper, partitioned Earliest Deadline First (EDF) scheduling on a preemptive multi-core platform is considered. We propose a new system model that covers inter-task cache interference and describe some ongoing work in identifying proper partition schemes under such settings.",
keywords = "Cache-Aware-Partitioned, Multi-Core, Real-time-System",
author = "Zhishan Guo and Ying Zhang and Lingxiang Wang and Zhenkai Zhang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 38th IEEE Real-Time Systems Symposium, RTSS 2017 ; Conference date: 05-10-2017 Through 08-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/RTSS.2017.00054",
language = "English",
series = "Proceedings - Real-Time Systems Symposium",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "384--386",
booktitle = "Proceedings - 2017 IEEE Real-Time Systems Symposium, RTSS 2017",
}