PreeMe: preemptive real-time task management for event-driven sensor operating systems

Authors:
Sangho Yi;Hong Min;Yookun Cho;Injoo Jeong;Yeongkwun Kim
Affiliations:
Seoul National University, Korea;Seoul National University, Korea;Seoul National University, Korea;East-West University;West Illinois University
Venue:
Proceedings of the 2008 ACM symposium on Applied computing
Year:
2008

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Abstract

This paper proposes PreeMe, which is a preemptive realtime task management scheme for event-driven sensor operating systems. By efficiently allocating independent stack space for each task, PreeMe enables the preemptive task management for the event-driven systems. The size of the minimal stack space for each task is determined at compiletime, and dynamic stack allocation is performed at run-time. Simulation results show that PreeMe significantly reduces scheduling latency with small execution overhead.