FastIoT: an efficient and very fast compression model for displaying a huge volume of IoT data in web environments. (24th December 2021)

• Record Type: Journal Article
• Authors: Melchiades, Mateus Begnini; Crovato, César David Paredes; Nedel, Everton; Schreiber, Lincoln Vinicius; Righi, Rodigo Da Rosa
• Is Part Of: International journal of grid and utility computing. Volume 12:Number 5/6(2021)
• Page Start: 605
• Page End: 617
• Publication Date: 2021-12-24
• Subjects: Industry 40 -- IoT -- Internet of Things -- compression -- data visualisation -- web environment; Electronic data processing -- Distributed processing -- Periodicals; Electronic commerce -- Management -- Computer programs -- Periodicals; 004.605
• Languages: English
• ISSNs: 1741-847X

Abstract

Industry 4.0 concept leads to a generation of massive data sets that supervisors must appropriately analyse for an effective decision-making process. A data set, however, can be excessively large, causing troubles when trying to visualise its content entirety. Thus, the present work introduces FastIoT as a novel compression model that focuses on the visual representation of Industry 4.0 data through web environments. As a client-server proposal, FastIoT brings the idea of: (i) speed in data preparation at the server-side, since the proposed method is very simple, and; (ii) efficiency, because we consider the target client plotting area so generating an optimised data set fitted especially for such visual region. Even adding a short time at the server-side for data preparation, with FastIoT we have data ready in the client's display up to 97% faster when compared to traditional plotting methods.