Schedulability Analysis of Tasks with Corunner-Dependent Execution Times

Author:

Andersson BJörn1,Kim Hyoseung2ORCID,Niz Dionisio De1,Klein Mark1,Rajkumar Ragunathan (Raj)1,Lehoczky John1

Affiliation:

1. Carnegie Mellon University and UC Riverside, Pittsburgh, PA, USA

2. Carnegie Mellon University and UC Riverside, Riverside, CA, USA

Abstract

Consider fixed-priority preemptive partitioned scheduling of constrained-deadline sporadic tasks on a multiprocessor. A task generates a sequence of jobs and each job has a deadline that must be met. Assume tasks have Corunner-dependent execution times; i.e., the execution time of a job J depends on the set of jobs that happen to execute (on other processors) at instants when J executes. We present a model that describes Corunner-dependent execution times. For this model, we show that exact schedulability testing is co-NP-hard in the strong sense. Facing this complexity, we present a sufficient schedulability test, which has pseudo-polynomial-time complexity if the number of processors is fixed. We ran experiments with synthetic software benchmarks on a quad-core Intel multicore processor with the Linux/RK operating system and found that for each task, its maximum measured response time was bounded by the upper bound computed by our theory.

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Software

Reference32 articles.

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3. Sustainable Scheduling Analysis

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