NDLI: A Study of Utilization Bound and Run-Time Overhead for Cluster Scheduling in Multiprocessor Real-Time Systems

Content Provider	IEEE Xplore Digital Library
Author	Xuan Qi Dakai Zhu Aydin, H.
Copyright Year	2010
Abstract	Cluster scheduling, where processors are grouped into clusters and the tasks that are allocated to one cluster are scheduled by a global scheduler, has attracted attention in multiprocessor real-time systems research recently. In this paper, by adopting optimal global schedulers within each cluster, first we investigate the worst-case utilization bound for cluster scheduling. Specifically, for a system with $m$ homogeneous clusters where each cluster has $k$ processors, we show that the worst-case achievable system utilization is$\frac{\lfloor k/\alpha \rfloor \cdot m + 1}{\lfloor k/\alpha \rfloor + 1} \cdot k$, where $\alpha$ is the maximum utilization for the periodic tasks considered. By focusing on an efficient optimal global scheduler, namely the boundary-fair (Bfair) algorithm, we propose a period-aware partitioning heuristic aiming at reducing the scheduling overhead. Simulation results show that the percentage of task sets that can be scheduled is significantly improved under cluster scheduling even for small-size clusters (e.g., k=2). Moreover, the proposed period-aware partitioning heuristic markedly reduces the scheduling overhead of cluster scheduling with Bfair.
Starting Page	3
Ending Page	12
File Size	313851
Page Count	10
File Format	PDF
ISBN	9781424484805
ISSN	15332306
DOI	10.1109/RTCSA.2010.15
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Program processors Scheduling Schedules Scheduling algorithm Real time systems Context
Content Type	Text
Resource Type	Article

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