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Conference Paper A Data-centric Network Architecture for Service Optimization and Data Sharing
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Authors
Sunme Kim, Sangki Kim, Sae Hyong Park, Sang-Ha Kim
Issue Date
2018-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.505-508
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2018.8539470
Abstract
In a hyper-connected intelligent society, data is at the core of businesses. However, currently there is no platform that optimizes the data lifecycle which involves collection, processing, and utilization of data. The existing practice is application specific and based on individual software. By having monolithic characteristics for processing and sharing data, we encounter a limit in the development of applications and observe network bandwidth inefficiency. On the other hand, in current data sharing and utilization procedures, data is being collected vertically, as in an application-domain silo; it drastically increases the overhead in processing data in terms of utilization and sharing. In this paper, we propose Data-centric Network Architecture, a new network design for the future applications that require optimized executions and active data-sharing amongst application domains. We believe Data-centric Network Architecture will serve as a useful common platform for creating new businesses and values in a hyper-connected society.
KSP Keywords
Active data, Connected society, Data Lifecycle, Data sharing, Data-centric, Future applications, Hyper-connected, Network Architecture, Network bandwidth, Service Optimization, Sharing data