Spatio-temporal Summarized Visualization of SmartX Multi-View Visibility in Cloud-native Edge Boxes
Computer Science and Information Systems, Tome 18 (2021) no. 1.

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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.
Keywords: spatio-temporal, edge, visualization, cloud-native
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     author = {Muhammad Ahmad Rathore and JongWon Kim},
     title = {Spatio-temporal {Summarized} {Visualization} of {SmartX} {Multi-View} {Visibility} in {Cloud-native} {Edge} {Boxes}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {18},
     number = {1},
     year = {2021},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2021_18_1_a9/}
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Muhammad Ahmad Rathore; JongWon Kim. Spatio-temporal Summarized Visualization of SmartX Multi-View Visibility in Cloud-native Edge Boxes. Computer Science and Information Systems, Tome 18 (2021) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2021_18_1_a9/