2002Unpublished venueRequires access

A scheduling technique for real-time systems with end-to-end timing constraints

Namyun Kim

Open publisher page 2 citations

Abstract

This paper presents a scheduling technique for guaranteeing end-to-end timing constraints. Applications are structured as a set of tasks which are the sequence of actions to produce an output. Task is decomposed into subtasks and shares subtasks with other tasks. According to the proposed scheduling technique, for each instance of a task, the sequence of subtasks is determined off-line and then called by the task sequentially at runtime. This technique avoids unnecessary execution of shared tasks and satisfies precedence constraints between subtasks even in overload situations.

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What this paper is about

This paper presents a scheduling technique for guaranteeing end-to-end timing constraints. Applications are structured as a set of tasks which are the sequence of actions to produce an output. Task is decomposed into subtasks and shares subtasks with other tasks. According to the proposed scheduling technique, for each instance of a task, the sequence of subtasks is determined off-line and then called by the task sequentially at runtime. This technique avoids unnecessary execution of shared tasks and satisfies precedence constraints between subtasks even in overload situations.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper presents a scheduling technique for guaranteeing end-to-end timing constraints. Applications are structured as a set of tasks which are the sequence of actions to produce an output. Task is decomposed into subtasks and shares subtasks with other tasks. According to the proposed scheduling technique, for each instance of a task, the sequence of subtasks is determined off-line and then called by the task sequentially at runtime. This technique avoids unnecessary execution of shared tasks and satisfies precedence constraints between subtasks even in overload situations.

Key concepts: Computer science, End-to-end principle, Scheduling (production processes), Processor scheduling, Distributed computing, Task (project management), Sequence (biology), Real-time computing

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