The Review of Laser Engineering
Online ISSN : 1349-6603
Print ISSN : 0387-0200
ISSN-L : 0387-0200
Laser Review
Data Centric Networking to Accelerate Digital Transformation
Motoyoshi SEKIYAToru KATAGIRISatoshi IMAIQiong ZHANGAkira ITOJunichi SUGAPaparao PALACHARLA
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2021 Volume 49 Issue 12 Pages 666-

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Abstract
Data and analytics to gain insights are key to successful digital transformation (DX). There are large amounts of data generated by individuals, IoT (Internet of Things), and organizations. Due to security and privacy concerns, currently these data are siloed or inaccessible, even though there is a strong motivation to utilize data across organizations to obtain valuable data analytics driven insights. To overcome this situation, the network is expected to not only securely transfer data end-to-end, but also to transfer the appropriate original and/or analyzed data required to fit its purpose in a decentralized way. We call this data centric networking. In this review, we describe a holistic view of the network’s role in DX on cyber physical systems and also introduce our recent activities on blockchain-based data exchange systems, a key building block of data centric networking to accelerate DX.
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© 2021 by The Laser Society of Japan
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