On Exploiting and Implementing Collaborative Virtual and Augmented Reality in a Cloud Continuum Scenario

Beniamino Di Martino, Gennaro Junior Pezzullo (), Vincenzo Bombace, Ling-Huey Li and Kuan-Ching Li ()
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Beniamino Di Martino: Department of Engineering, University of Campania "Luigi Vanvitelli", 81031 Aversa, Italy
Gennaro Junior Pezzullo: Department of Engineering, University of Campania "Luigi Vanvitelli", 81031 Aversa, Italy
Vincenzo Bombace: Department of Engineering, University of Campania "Luigi Vanvitelli", 81031 Aversa, Italy
Ling-Huey Li: Department of Computer Science and Information Engineering (CSIE), Providence University, Taichung 43301, Taiwan
Kuan-Ching Li: Department of Computer Science and Information Engineering (CSIE), Providence University, Taichung 43301, Taiwan

Future Internet, 2024, vol. 16, issue 11, 1-18

Abstract: This work explores the application of collaborative virtual and augmented reality in a cloud continuum context, focusing on designing, implementing, and verifying three reference architectures for five collaborative VR/AR software deployment. The architectures designed differ in their distribution of computational load: one handles everything in the cloud, one balances the load between the cloud and the edge, and the last concentrates the load entirely on the edge. The design of the architectures was initially outlined through sequence and component diagrams and then implemented using the most appropriate technologies and frameworks. For each architecture, a specific application was developed and deployed on the various components of that architecture to test its proper functioning. Finally, the scenarios were simulated to be stressed with a significant number of users, employing tools such as Cloud Analyst to analyze performance and present well-defined and implemented reference architectures.

Keywords: cloud continuum; cloud edge; virtual reality; augmented reality; simulation (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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