Temperature Sensor Assisted Lifetime Enhancement of Satellite Embedded Systems via Multi-Core Task Mapping and DVFS

Recently, thanks to the miniaturization and high performance of commercial-off-the-shelf<br />(COTS) computer systems, small satellites get popular. However, due to the very expensive launching<br />cost, it is critical to reduce the physical size and weight of the satellite systems such...

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Main Authors: Beomsik Kim, Hoeseok Yang
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/22/4902
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author Beomsik Kim
Hoeseok Yang
author_facet Beomsik Kim
Hoeseok Yang
author_sort Beomsik Kim
collection DOAJ
description Recently, thanks to the miniaturization and high performance of commercial-off-the-shelf<br />(COTS) computer systems, small satellites get popular. However, due to the very expensive launching<br />cost, it is critical to reduce the physical size and weight of the satellite systems such as cube satellites<br />(CubeSats), making it infeasible to install high capacity batteries or solar panels. Thus, the low-power<br />design is one of the most critical issues in the design of such systems. In addition, as satellites<br />make a periodic revolution around the Earth in a vacuum, their operating temperature varies greatly.<br />For instance, in a low earth orbit (LEO) CubeSats, the temperatures vary from 30 to -30 degrees<br />Celsius, resulting in a big thermal cycle (TC) in the electronic parts that is known to be one of the<br />most critical reliability threats. Moreover, such LEO CubeSats are not fully protected by active<br />thermal control and thermal insulation due to the cost, volume, and weight problems. In this<br />paper, we propose to utilize temperature sensors to maximize the lifetime reliability of the LEO<br />satellite systems via multi-core mapping and dynamic voltage and frequency scaling (DVFS) under<br />power constraint. As conventional reliability enhancement techniques primarily focus on reducing<br />the temperature, it may cause enlarged TCs, making them even less reliable. On the contrary,<br />we try to maintain the TC optimal in terms of reliability with respect to the given power constraint.<br />Experimental evaluation shows that the proposed technique improves the expected lifetime of the<br />satellite embedded systems by up to 8.03 times in the simulation of Nvidia&#8217;s Jetson TK1.
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spelling doaj.art-9f293bba7878467a8f9f0fcd52a5983d2022-12-22T04:09:32ZengMDPI AGSensors1424-82202019-11-011922490210.3390/s19224902s19224902Temperature Sensor Assisted Lifetime Enhancement of Satellite Embedded Systems via Multi-Core Task Mapping and DVFSBeomsik Kim0Hoeseok Yang1Department of Electrical and Computer Engineering, Ajou University, 206 Worldcup-ro, Yeongtong-gu, Suwon-si 16499, KoreaDepartment of Electrical and Computer Engineering, Ajou University, 206 Worldcup-ro, Yeongtong-gu, Suwon-si 16499, KoreaRecently, thanks to the miniaturization and high performance of commercial-off-the-shelf<br />(COTS) computer systems, small satellites get popular. However, due to the very expensive launching<br />cost, it is critical to reduce the physical size and weight of the satellite systems such as cube satellites<br />(CubeSats), making it infeasible to install high capacity batteries or solar panels. Thus, the low-power<br />design is one of the most critical issues in the design of such systems. In addition, as satellites<br />make a periodic revolution around the Earth in a vacuum, their operating temperature varies greatly.<br />For instance, in a low earth orbit (LEO) CubeSats, the temperatures vary from 30 to -30 degrees<br />Celsius, resulting in a big thermal cycle (TC) in the electronic parts that is known to be one of the<br />most critical reliability threats. Moreover, such LEO CubeSats are not fully protected by active<br />thermal control and thermal insulation due to the cost, volume, and weight problems. In this<br />paper, we propose to utilize temperature sensors to maximize the lifetime reliability of the LEO<br />satellite systems via multi-core mapping and dynamic voltage and frequency scaling (DVFS) under<br />power constraint. As conventional reliability enhancement techniques primarily focus on reducing<br />the temperature, it may cause enlarged TCs, making them even less reliable. On the contrary,<br />we try to maintain the TC optimal in terms of reliability with respect to the given power constraint.<br />Experimental evaluation shows that the proposed technique improves the expected lifetime of the<br />satellite embedded systems by up to 8.03 times in the simulation of Nvidia&#8217;s Jetson TK1.https://www.mdpi.com/1424-8220/19/22/4902low earth orbit satellitesreliabilitytemperature sensors, real-time embedded systemsmulti-core processordynamic voltage and frequency scaling (dvfs)
spellingShingle Beomsik Kim
Hoeseok Yang
Temperature Sensor Assisted Lifetime Enhancement of Satellite Embedded Systems via Multi-Core Task Mapping and DVFS
Sensors
low earth orbit satellites
reliability
temperature sensors, real-time embedded systems
multi-core processor
dynamic voltage and frequency scaling (dvfs)
title Temperature Sensor Assisted Lifetime Enhancement of Satellite Embedded Systems via Multi-Core Task Mapping and DVFS
title_full Temperature Sensor Assisted Lifetime Enhancement of Satellite Embedded Systems via Multi-Core Task Mapping and DVFS
title_fullStr Temperature Sensor Assisted Lifetime Enhancement of Satellite Embedded Systems via Multi-Core Task Mapping and DVFS
title_full_unstemmed Temperature Sensor Assisted Lifetime Enhancement of Satellite Embedded Systems via Multi-Core Task Mapping and DVFS
title_short Temperature Sensor Assisted Lifetime Enhancement of Satellite Embedded Systems via Multi-Core Task Mapping and DVFS
title_sort temperature sensor assisted lifetime enhancement of satellite embedded systems via multi core task mapping and dvfs
topic low earth orbit satellites
reliability
temperature sensors, real-time embedded systems
multi-core processor
dynamic voltage and frequency scaling (dvfs)
url https://www.mdpi.com/1424-8220/19/22/4902
work_keys_str_mv AT beomsikkim temperaturesensorassistedlifetimeenhancementofsatelliteembeddedsystemsviamulticoretaskmappinganddvfs
AT hoeseokyang temperaturesensorassistedlifetimeenhancementofsatelliteembeddedsystemsviamulticoretaskmappinganddvfs