Cache-Aware Partitioned EDF Scheduling for Multi-Core Real-Time Systems

Author

Zhishan Guo, Missouri University of Science and TechnologyFollow
Ying Zhang
Lingxiang Wang
Zhenkai Zhang

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 multicore 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.

Recommended Citation

Z. Guo et al., "Cache-Aware Partitioned EDF Scheduling for Multi-Core Real-Time Systems," Proceedings of the 38th IEEE Real-Time Systems Symposium (2017, Paris, France), Institute of Electrical and Electronics Engineers (IEEE), Dec 2017.

Meeting Name

38th IEEE Real-Time Systems Symposium, RTSS, BP Session (2017: Dec. 5-8, Paris, France)

Department(s)

Computer Science

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Dec 2017