SEAMERS: A Semi-partitioned Energy-Aware scheduler for heterogeneous MulticorE Real-time Systems

Moulik, Sanjay; Das, Zinea; Devaraj, Rajesh; Chakraborty, Shounak

Abstract

Over the years, the nature of processing platforms is witnessing a significant shift in most of the battery supported real-time systems, which now support a combination of specialized multicores to meet the demands of modern applications. Devising energy-efficient schedulers has become a critical issue for such kinds of devices. Hence, this research presents a low-overhead heuristic strategy named SEAMERS, for DVFS based energy-aware scheduling for a set of real-time periodic tasks on a heterogeneous multicore platform. The presented strategy operates in four phases, namely Deadline Partitioning, Core Clustering, Task Allocation and Energy-Aware Scheduling. Our experimental analysis shows that the presented strategy improves upon the state-of-the-art in terms of energy savings (16% to 47% on average) and enables significant improvement in resource utilization.

Citation

Moulik, S., Das, Z., Devaraj, R., & Chakraborty, S. (2021). SEAMERS: A Semi-partitioned Energy-Aware scheduler for heterogeneous MulticorE Real-time Systems. The Journal of Systems Architecture: Embedded Software Design, 114, Article 101953. https://doi.org/10.1016/j.sysarc.2020.101953

• Journal Article Type: Article
• Acceptance Date: Nov 24, 2020
• Online Publication Date: Nov 28, 2020
• Publication Date: 2021-03
• Deposit Date: Jan 9, 2025
• Journal: Journal of Systems Architecture
• Print ISSN: 1383-7621
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 114
• Article Number: 101953
• DOI: https://doi.org/10.1016/j.sysarc.2020.101953
• Public URL: https://durham-repository.worktribe.com/output/3328950