The Metaverse Data Deluge: What Can We Do About It?

Beng Chin Ooi*, Gang Chen, Mike Zheng Shou, Kian Lee Tan, Anthony Tung, Xiaokui Xiao, James Wei Luen Yip, Bingxue Zhang, Meihui Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Abstract

In the metaverse the physical space and the virtual space co-exist, and interact simultaneously. While the physical space is virtually enhanced with information, the virtual space is continuously refreshed with real-time, real-world information. To allow users to process and manipulate information seamlessly between the real and digital spaces, novel technologies must be developed. These include smart interfaces, new augmented realities, and efficient data storage, management, and dissemination techniques. In this paper, we first discuss some promising co-space applications. These applications offer opportunities that neither of the spaces can realize on its own. We then discuss challenges. Finally, we discuss and envision what are likely to be required from the database and system perspectives.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023
PublisherIEEE Computer Society
Pages3675-3687
Number of pages13
ISBN (Electronic)9798350322279
DOIs
Publication statusPublished - 2023
Event39th IEEE International Conference on Data Engineering, ICDE 2023 - Anaheim, United States
Duration: 3 Apr 20237 Apr 2023

Publication series

NameProceedings - International Conference on Data Engineering
Volume2023-April
ISSN (Print)1084-4627

Conference

Conference39th IEEE International Conference on Data Engineering, ICDE 2023
Country/TerritoryUnited States
CityAnaheim
Period3/04/237/04/23

Keywords

  • data centricity
  • databases
  • metaverse

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Cite this

Ooi, B. C., Chen, G., Shou, M. Z., Tan, K. L., Tung, A., Xiao, X., Luen Yip, J. W., Zhang, B., & Zhang, M. (2023). The Metaverse Data Deluge: What Can We Do About It? In Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023 (pp. 3675-3687). (Proceedings - International Conference on Data Engineering; Vol. 2023-April). IEEE Computer Society. https://doi.org/10.1109/ICDE55515.2023.00296