Spatio-temporal Summarized Visualization of SmartX Multi-View Visibility in Cloud-native Edge Boxes

Muhammad Ahmad Rathore1 and JongWon Kim1

  1. School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju 61005, South Korea
    Room No. 207, EECS Building C, Gwangju Institute of Science and Technology, 123, Cheomdangwagi-ro, Buk-gu, Gwangju 61005, South Korea
    ahmadrathore@gist.ac.kr, jongwon@gist.ac.kr

Abstract

The existing data summarization (and archival) techniques are generic and are not designed to leverage the unique characteristics of the spatio-temporal visualization at multi-resource level. In this paper, we propose and explore a family of data summaries that take advantage of the multiple layers i.e. physical/virtual resources with temporal and spatial correlation among distributed edge boxes. Significant challenges in measuring spatio-temporal data, however, contribute to both a tendency towards identifying efficient metrics with summarizing functionalities and effective verification methods. In this paper, we present our idea of maintaining summarized spatio-temporal data and verify through visualization of gathered operational data.

Key words

spatio-temporal, edge, visualization, cloud-native

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS200317034R

Publication information

Volume 18, Issue 1 (January 2021)
Year of Publication: 2021
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Rathore, M. A., Kim, J.: Spatio-temporal Summarized Visualization of SmartX Multi-View Visibility in Cloud-native Edge Boxes. Computer Science and Information Systems, Vol. 18, No. 1, 169–188. (2021), https://doi.org/10.2298/CSIS200317034R