---
type: Scholarly Article
title: "ATLAS: Aging-Aware Task Replication for Multicore Safety-Critical Systems"
description: Aging-aware task replication that keeps periodic hard real-time tasks at their reliability target over a multicore system’s lifetime while limiting the temperature that accelerates aging.
resource: https://doi.org/10.1109/RTAS58335.2023.00025
tags:
  - real-time systems
  - safety-critical systems
  - task replication
  - processor aging
  - thermal management
  - aging
  - reliability
  - multicore
generated:
  by: process:roozbeh.nl/astro-build
  at: 2026-09-06T00:00:00Z
status: stable
sources:
  - id: crossref
    resource: https://api.crossref.org/works/10.1109/RTAS58335.2023.00025
    title: Crossref metadata record
  - id: publisher
    resource: https://doi.org/10.1109/RTAS58335.2023.00025
    title: Publisher record (IEEE)
doi: 10.1109/RTAS58335.2023.00025
authors:
  - name: Mohsen Ansari
    orcid: 0000-0002-4670-8608
  - name: Sepideh Safari
  - name: Amir Yeganeh-Khaksar
  - name: Roozbeh Siyadatzadeh
    orcid: 0000-0002-2258-4110
  - name: Pourya Gohari-Nazari
  - name: Heba Khdr
  - name: Muhammad Shafique
    orcid: 0000-0002-2607-8135
  - name: Jörg Henkel
    orcid: 0000-0001-9602-2922
  - name: Alireza Ejlali
    orcid: 0000-0002-5661-3629
year: 2023
published: 2023-05-09
venue: 2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS)
venue_type: conference
publisher: IEEE
pages: 223-234
web_page: https://roozbeh.nl/publications/atlas-aging-aware-task-replication/
bibtex: https://roozbeh.nl/publications/atlas-aging-aware-task-replication.bib
citation_count: 7
citation_count_source: Semantic Scholar Graph API, 2026-09-02
---

# ATLAS: Aging-Aware Task Replication for Multicore Safety-Critical Systems

Mohsen Ansari, Sepideh Safari, Amir Yeganeh-Khaksar, Roozbeh Siyadatzadeh, Pourya Gohari-Nazari, Heba Khdr, Muhammad Shafique, Jörg Henkel, Alireza Ejlali. 2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS), 2023, pp. 223-234. DOI: [10.1109/RTAS58335.2023.00025](https://doi.org/10.1109/RTAS58335.2023.00025).

# Abstract

A major requirement of safety-critical systems is high reliability at low power consumption. Dynamic voltage and frequency (v/f) scaling (DVFS) techniques are widely exploited to reduce power consumption. However, DVFS through downscaling v/f levels has a negative impact on the reliability of the tasks running on the cores, and through upscaling v/f levels has circuit-level aging effects. To achieve high reliability in multicore safety-critical systems, task replication as a fault-tolerant technique is an established way to deal with the negative effect of downscaling v/f levels, but it may accelerate aging effects due to elevating the on-chip temperatures. In this paper, we propose an aging-aware task replication (called ATLAS) method that solves the problem of satisfying the desired reliability target for a set of periodic hard real-time tasks which are executed on a multicore system. The proposed method satisfies the reliability target of the tasks through updating the required number of replicas for each task at different years. We replicate the tasks through our proposed formulas such that the reliability target is satisfied. However, task replication increases the temperature of the system and accelerates aging. To decelerate aging, we attempt to reduce the temperature while mapping and scheduling the tasks. We have also developed a modified demand bound function (DBF) for our aging-aware task replication method to verify scheduling the real-time tasks. Compared to the existing state-of-the-art techniques, experimental results for safety-critical applications on different configurations of multicore systems demonstrate the efficiency and effectiveness of our proposed method. Experiments show that our proposed method improves schedulability on average by 16.1% and reduces the temperature on average by 7.4°C compared to state-of-the-art methods while meeting the system reliability target.

# Key result

Improved schedulability by 16.1% and reduced temperature by 7.4°C on average against state-of-the-art methods, while meeting the reliability target.

# Cite

M. Ansari et al., "ATLAS: Aging-Aware Task Replication for Multicore Safety-Critical Systems," in 2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS), San Antonio, TX, USA, 2023, pp. 223-234, doi: 10.1109/RTAS58335.2023.00025.

```bibtex
@inproceedings{ansari2023atlas,
  author    = {Ansari, Mohsen and Safari, Sepideh and Yeganeh-Khaksar, Amir and Siyadatzadeh, Roozbeh and Gohari-Nazari, Pourya and Khdr, Heba and Shafique, Muhammad and Henkel, Jörg and Ejlali, Alireza},
  title     = {{ATLAS}: Aging-Aware Task Replication for Multicore Safety-Critical Systems},
  booktitle = {2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS)},
  year      = {2023},
  pages     = {223--234},
  publisher = {IEEE},
  address   = {San Antonio, TX, USA},
  doi       = {10.1109/RTAS58335.2023.00025},
  url       = {https://doi.org/10.1109/RTAS58335.2023.00025},
}
```

# Files

* [Web page](https://roozbeh.nl/publications/atlas-aging-aware-task-replication/)
* [AI-generated audio overview (NotebookLM), 16 min](https://roozbeh.nl/audio/ATLAS.m4a)

Author record: [Roozbeh Siyadatzadeh](../person/roozbeh-siyadatzadeh.md).