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Activities and Results of Field Trials—Network Edge Computing Platform.

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Τίτλος: Activities and Results of Field Trials—Network Edge Computing Platform.
Συγγραφείς: Ryosuke Noji1, Takayuki Kamei2, Kaito Funabiki3, Daisuke Murata4,5, Yuken Kanemaru2
Πηγή: NTT Technical Review. Jul2022, Vol. 20 Issue 7, p48-53. 6p.
Θεματικοί όροι: *Computation laboratories, *Processing (Computer program language), *Information & communication technologies, *Big data
Εταιρία/Οντότητα: Toyota Motor Corp. TM
Περίληψη: Toyota Motor Corporation and the NTT Group conducted field trials to verify an information and communication technology platform for connected vehicles over a three-year period beginning in 2018 and shared their respective technologies and expertise regarding connected vehicles. Distributed processing using edge nodes increased the efficiency and processing speed of the platform. However, the distribution of processing sites created new challenges. To address these challenges, we developed an architecture in which multiple network functions are allocated to edge nodes and verified its effectiveness through these field trials. [ABSTRACT FROM AUTHOR]
Βάση Δεδομένων: Academic Search Index
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  – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:asx&genre=article&issn=13483447&ISBN=&volume=20&issue=7&date=20220701&spage=48&pages=48-53&title=NTT Technical Review&atitle=Activities%20and%20Results%20of%20Field%20Trials%E2%80%94Network%20Edge%20Computing%20Platform.&aulast=Ryosuke%20Noji&id=DOI:10.53829/ntr202207fa7
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  Data: Activities and Results of Field Trials—Network Edge Computing Platform.
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  Data: Toyota Motor Corporation and the NTT Group conducted field trials to verify an information and communication technology platform for connected vehicles over a three-year period beginning in 2018 and shared their respective technologies and expertise regarding connected vehicles. Distributed processing using edge nodes increased the efficiency and processing speed of the platform. However, the distribution of processing sites created new challenges. To address these challenges, we developed an architecture in which multiple network functions are allocated to edge nodes and verified its effectiveness through these field trials. [ABSTRACT FROM AUTHOR]
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              Text: Jul2022
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