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Investigation and RL-based Optimization of Offloading Decision Making in Industrial Edge Computing Scenarios.

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Title: Investigation and RL-based Optimization of Offloading Decision Making in Industrial Edge Computing Scenarios.
Authors: Volk, Eugen1, eugen.volk@de.bosch.com, Artemenko, Alexander2, alexander.artemenko@de.bosch.com, Fejza, Indrit3, fejza.indrit@gmail.com, Aiello, Marco4, marco.aiello@iaas.uni-stuttgart.de
Source: Foundations of Computing & Decision Sciences; Jun2026, Vol. 51 Issue 2, p311-333, 23p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194896992
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Investigation and RL-based Optimization of Offloading Decision Making in Industrial Edge Computing Scenarios.
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  Data: <searchLink fieldCode="JN" term="%22Foundations+of+Computing+%26+Decision+Sciences%22">Foundations of Computing & Decision Sciences</searchLink>; Jun2026, Vol. 51 Issue 2, p311-333, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194896992
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.2478/fcds-2026-0010
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 311
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      – TitleFull: Investigation and RL-based Optimization of Offloading Decision Making in Industrial Edge Computing Scenarios.
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            NameFull: Volk, Eugen
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            NameFull: Artemenko, Alexander
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            NameFull: Fejza, Indrit
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              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 51
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