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PAStime: Progress-Aware Scheduling for Time-Critical Computing

Authors Soham Sinha , Richard West , Ahmad Golchin

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Author Details

Soham Sinha
  • Department of Computer Science, Boston University, MA, USA
Richard West
  • Department of Computer Science, Boston University, MA, USA
Ahmad Golchin
  • Department of Computer Science, Boston University, MA, USA

Funding

This work is supported in part by the National Science Foundation (NSF) under Grant #1527050.

Acknowledgements

Special thanks to Dr. Ramesh Peri and Intel for generous support and feedback. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF.

Cite AsGet BibTex

Soham Sinha, Richard West, and Ahmad Golchin. PAStime: Progress-Aware Scheduling for Time-Critical Computing. In 32nd Euromicro Conference on Real-Time Systems (ECRTS 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 165, pp. 3:1-3:24, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/LIPIcs.ECRTS.2020.3

Abstract

Over-estimation of worst-case execution times (WCETs) of real-time tasks leads to poor resource utilization. In a mixed-criticality system (MCS), the over-provisioning of CPU time to accommodate the WCETs of highly critical tasks may lead to degraded service for less critical tasks. In this paper we present PAStime, a novel approach to monitor and adapt the runtime progress of highly time-critical applications, to allow for improved service to lower criticality tasks. In PAStime, CPU time is allocated to time-critical tasks according to the delays they experience as they progress through their control flow graphs. This ensures that as much time as possible is made available to improve the Quality-of-Service of less critical tasks, while high-criticality tasks are compensated after their delays. This paper describes the integration of PAStime with Adaptive Mixed-criticality (AMC) scheduling. The LO-mode budget of a high-criticality task is adjusted according to the delay observed at execution checkpoints. This is the first implementation of AMC in the scheduling framework of LITMUS^RT, which is extended with our PAStime runtime policy and tested with real-time Linux applications such as object classification and detection. We observe in our experimental evaluation that AMC-PAStime significantly improves the utilization of the low-criticality tasks while guaranteeing service to high-criticality tasks.

Subject Classification

ACM Subject Classification
  • Computer systems organization → Real-time systems
  • Software and its engineering → Real-time systems software
Keywords
  • progress-aware scheduling
  • code instrumentation
  • timing annotation

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