https://www.mdu.se/

mdu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Simulation and Analysis of In-Orbit Applications under Radiation Effects on COTS Platforms
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-8096-3891
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1687-930X
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-7586-0409
Show others and affiliations
2021 (English)In: 42nd IEEE Aerospace Conference 2021 IEEEAC2021, 2021Conference paper, Published paper (Refereed)
Abstract [en]

Radiation effects research is crucial as it defines risk to both human bodies and spacecraft. Employing radiation-hardened products is one way to mitigate radiation effects on in-orbit systems. However, radiation effects prohibit most of the state-of-the-art commercial off-the-shelf (COTS) technologies from use in space. Furthermore, radiation effects on software components are less studied compared to hardware components. In this work, we introduce a simulation tool that analyzes the impact of radiation effects on schedulability of task sets executing on COTS system-on-chip (SoC) platforms in the in-orbit systems. In order to provide a meaningful verification environment, single-event effects (SEEs) are introduced as aleatory disturbances characterized by probability distribution of occurrence using their predefined models. The tool supports interoperability with several other tools as it uses the extensible markup language (XML) model files for input and output, i.e., for importing input task sets and radiation effects and exporting the simulation results.

Place, publisher, year, edition, pages
2021.
Series
IEEE Aerospace Conference Proceedings, ISSN 1095-323X
Keywords [en]
Radiation toleranceCPU-GPUSimulation toolSchedulabilityCOTS components
National Category
Engineering and Technology Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-53949DOI: 10.1109/AERO50100.2021.9438255ISI: 000681710101024Scopus ID: 2-s2.0-85111365681OAI: oai:DiVA.org:mdh-53949DiVA, id: diva2:1556965
Conference
42nd IEEE Aerospace Conference 2021 IEEEAC2021, 06 Mar 2021, Big Sky, Montana, United States
Projects
DPAC - Dependable Platforms for Autonomous systems and ControlAvailable from: 2021-05-24 Created: 2021-05-24 Last updated: 2021-11-05Bibliographically approved
In thesis
1. Space Computing using COTS Heterogeneous Platforms: Intelligent On-Board Data Processing in Space Systems
Open this publication in new window or tab >>Space Computing using COTS Heterogeneous Platforms: Intelligent On-Board Data Processing in Space Systems
2021 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Space computing enriches space activities such as deep-space explorations and in-orbit intelligent decision making. The awareness of space computing is growing due to the technological advances of high-performance commercial off-the-shelf (COTS) computing platforms. Space offers a complex, constrained and challengeable environment to the developers, researchers, as well as human beings. The challenges are size, weight and power (SWaP) constraints, real-time requirements, communication limitations as well as radiation effects. The research conducted in this thesis aims at investigating and supporting intelligent on-board data processing using COTS heterogeneous computing platforms in space systems. These platforms embed at least one Central Processing Unit (CPU) and one Graphics Processing Unit (GPU) on the same chip. 

The main goal of the research presented in this thesis is twofold. First, to investigate the heterogeneous computing platforms for the purpose of proposing a solution to tackle the above-mentioned challenges in space systems. Second, to complement the proposed solution with novel scheduling techniques for real-time applications that run on COTS heterogeneous platforms under harsh environments like space.

The proposed techniques are based on the system model that considers the use of alternative executions of parallel segments of tasks. Although offloading a parallel segment to a parallel computation unit (such as GPU) improves the best-case execution times of most applications, it can increase the response times of tasks in some applications due to the overuse of GPU. Hence, the use of the proposed task model can be a key to decrease the response times of tasks and improve schedulability of the system. The server-based proposed scheduling techniques support the proposed task model by guaranteeing the execution slot for parallel segments on CPU(s). 

The experimental evaluation conducted in this thesis shows that the proposed task model can improve the schedulability of the real-time systems up to 90% with the static allocation of applications. Moreover, the dynamic allocation method using the server-based scheduling with the proposed task model can improve the schedulability up to 16%. Finally, the thesis presents a simulation tool that simulates real-time applications using the proposed task model while considering the different levels of radiation tolerance to different processing units.

Abstract [sv]

Rymddata berikar rymdaktiviteter som utforskningar i djupa rymden och intelligent beslutsfattande i omloppsbana. Medvetenheten om rymddatorn ökar på grund av de tekniska framstegen inom högpresterande commercial off-the-shelf (COTS). Utrymme erbjuder utvecklare, forskare och människor en komplex, begränsad och utmanande miljö. Utmaningarna är storlek, vikt och effekt (SWaP), realtidskrav, kommunikationsbegränsningar samt strålningseffekter. Forskningen som bedrivs i denna avhandling syftar till att undersöka och stödja intelligent omborddatabehandling med hjälp av COTS heterogena datorplattformar i rymdsystem. Dessa plattformar bäddar in minst en Central Processing Unit (CPU) och en Graphics Processing Unit (GPU) på samma chip.

Huvudmålet för den forskning som presenteras i denna avhandling är tvåfaldigt. För det första att undersöka de heterogena dataplattformarna i syfte att föreslå en lösning för att hantera ovan nämnda utmaningar i rymdsystem. För det andra, för att komplettera den föreslagna lösningen med nya schemaläggningstekniker för realtidsapplikationer som körs på COTS heterogena plattformar under tuffa miljöer som rymden.

De föreslagna teknikerna är baserade på systemmodellen som överväger användningen av alternativa utföranden av parallella segment av uppgifter. Även om avlastning av ett parallellt segment till en parallell beräkningsenhet (t.ex. GPU) förbättrar de bästa tillämpningstiderna för de flesta applikationer, kan det öka svarstiderna för uppgifter i vissa applikationer på grund av överanvändning av GPU. Därför kan användningen av den föreslagna uppgiftsmodellen vara en nyckel för att minska responstiderna för uppgifter och förbättra systemets schemaläggning. De serverbaserade föreslagna schemaläggningsteknikerna stöder den föreslagna uppgiftsmodellen genom att garantera exekveringsplatsen för parallella segment på CPU (er).

Den experimentella utvärderingen som utförs i denna avhandling visar att den föreslagna uppgiftsmodellen kan förbättra schemaläggningen för realtidssystem upp till 90% med statisk tilldelning av applikationer. Dessutom kan den dynamiska tilldelningsmetoden som använder den serverbaserade schemaläggningen med den föreslagna uppgiftsmodellen förbättra schemaläggningen med upp till 16%. Slutligen presenterar avhandlingen ett simuleringsverktyg som simulerar applikationer i realtid med hjälp av den föreslagna uppgiftsmodellen samtidigt som man beaktar de olika nivåerna av strålningstolerans för olika behandlingsenheter.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2021
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 347
Keywords
space computing, CPU-GPU heterogeneous computing, intelligent on-board data processing
National Category
Computer Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-56086 (URN)978-91-7485-528-9 (ISBN)
Public defence
2021-11-18, Alfa, Mälardalens högskola, Västerås, 13:15 (English)
Opponent
Supervisors
Available from: 2021-10-08 Created: 2021-10-01 Last updated: 2021-10-28Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Tsog, NandinbaatarMubeen, SaadBehnam, MorisSjödin, MikaelBruhn, Fredrik

Search in DiVA

By author/editor
Tsog, NandinbaatarMubeen, SaadBehnam, MorisSjödin, MikaelBruhn, Fredrik
By organisation
Embedded Systems
Engineering and TechnologyComputer Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 70 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf