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Open Access

Edge-Enabled Metaverse: The Convergence of Metaverseand Mobile Edge Computing

Nyothiri Aung1,NSahraoui Dhelim1,Liming Chen2Huansheng Ning3( )Luigi Atzori4Tahar Kechadi5
Information Engineering College, Xinjiang Institute of Engineering, Urumqi 830023, China, and also with School of Computer Science, University College Dublin, Dublin, D04 V1W8, Ireland
School of Computing, Ulster University, Belfast, BT15 1ED, UK
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
Department of Electrical and Electronic Engineering, University of Cagliari, Sardinia 09124, Italy
School of Computer Science, University College Dublin, Dublin, D04 V1W8, Ireland

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Metaverse is a virtual environment where users are represented by their avatars to navigate a virtual world having strong links with its physical counterpart. The state-of-the-art Metaverse architectures rely on a cloud-based approach for avatar physics emulation and graphics rendering computation. The current centralized architecture of such systems is unfavorable as it suffers from several drawbacks caused by the long latency of cloud access, such as low-quality visualization. To this end, we propose a Fog-Edge hybrid computing architecture for Metaverse applications that leverage an edge-enabled distributed computing paradigm. Metaverse applications leverage edge devices’ computing power to perform the required computations for heavy tasks, such as collision detection in the virtual universe and high-computational 3D physics in virtual simulations. The computational costs of a Metaverse entity, such as collision detection or physics emulation, are performed at the device of the associated physical entity. To validate the effectiveness of the proposed architecture, we simulate a distributed social Metaverse application. The simulation results show that the proposed architecture can reduce the latency by 50% when compared with cloud-based Metaverse applications.


J. Kastrenakes and A. Heath, Facebook is spending at least $10 billion this year on its metaverse division,, 2021.
D. Kalogeropoulos and A. Sharma, What Microsoft’s big deal means for metaverse investors,, 2022.
J. D. N. Dionisio, W. G. Burns, and R. Gilbert, 3D virtual worlds and the metaverse, ACM Comput. Surv., vol. 45, no. 3, pp. 1–38, 2013.

C. W. Thompson, Next-generation virtual worlds: Architecture, status, and directions, IEEE Internet Comput., vol. 15, no. 1, pp. 60–65, 2011.


P. Hu, S. Dhelim, H. Ning, and T. Qiu, Survey on fog computing: Architecture, key technologies, applications and open issues, J. Netw. Comput. Appl., vol. 98, pp. 27–42, 2017.


A. Naouri, H. Wu, N. A. Nouri, S. Dhelim, and H. Ning, A novel framework for mobile-edge computing by optimizing task offloading, IEEE Internet of Things J., vol. 8, no. 16, pp. 13065–13076, 2021.

H. Ning, H. Wang, Y. Lin, W. Wang, S. Dhelim, F. Farha, J. Ding, and M. Daneshmand, A survey on metaverse: The state-of-the-art, technologies, applications, and challenges, arXiv preprint arXiv: 2111.09673, 2021.
Y. Wang, Z. Su, N. Zhang, R. Xing, D. Liu, T. H. Luan, and X. Shen, A survey on metaverse: Fundamentals, security, and privacy, arXiv preprint arXiv: 2203.02662, 2022.
T. Huynh-The, Q. V. Pham, X. Q. Pham, T. T. Nguyen, Z. Han, and D. S. Kim, Artificial intelligence for the metaverse: A survey, arXiv preprint arXiv: 2202.10336, 2022.
R. Cheng, N. Wu, S. Chen, and B. Han, Will metaverse be NextG Internet? Vision, hype, and reality, arXiv preprint arXiv: 2201.12894, 2022.
Q. Yang, Y. Zhao, H. Huang, Z. Xiong, J. Kang, and Z. Zheng, Fusing blockchain and AI with metaverse: A survey, arXiv preprint arXiv: 2201.03201, 2022.
H. J. Jeon, H. C. Youn, S. M. Ko, and T. H. Kim, Blockchain and AI meet in the metaverse, in Advances in the Convergence of Blockchain and Artificial Intelligence, T. M. Fernández-Caramés and P. Fraga-Lamas, eds. London, UK: IntechOpen, 2022, pp. 73−80.
T. R. Gadekallu, T. Huynh-The, W. Wang, G. Yenduri, P. Ranaweera, Q. V. Pham, D. B. D. Costa, and M. Liyanage, Blockchain for the metaverse: A review, arXiv preprint arXiv: 2203.09738, 2022.
C. T. Nguyen, D. T. Hoang, D. N. Nguyen, and E. Dutkiewicz, MetaChain: A novel blockchain-based framework for metaverse applications, arXiv preprint arXiv: 2201.00759, 2021.
M. Xu, W. C. Ng, W. Y. B. Lim, J. Kang, Z. Xiong, D. Niyato, Q. Yang, X. S. Shen, and C. Miao, A full dive into realizing the edge-enabled metaverse: Visions, enabling technologies, and challenges, arXiv preprint arXiv: 2203.05471, 2022.
W. Y. B. Lim, Z. Xiong, D. Niyato, X. Cao, C. Miao, S. Sun, and Q. Yang, Realizing the metaverse with edge intelligence: A match made in heaven, arXiv preprint arXiv: 2201.01634, 2022.
H. Duan, J. Li, S. Fan, Z. Lin, X. Wu, and W. Cai, Metaverse for social good: A university campus prototype, in Proc. 29th ACM Int. Conf. Multimedia, Virtual Event, China, 2021, pp. 153–161.

C. Walsh, Human-in-the-loop development of soft wearable robots, Nat. Rev. Mater., vol. 3, no. 6, pp. 78–80, 2018.


W. Wang, H. Ning, F. Shi, S. Dhelim, W. Zhang, and L. Chen, A survey of hybrid human-artificial intelligence for social computing, IEEE Trans. Hum. Mach. Syst., vol. 52, no. 3, pp. 468–480, 2022.


X. Cai, H. Ning, S. Dhelim, R. Zhou, T. Zhang, Y. Xu, and Y. Wan, Robot and its living space: A roadmap for robot development based on the view of living space, Digit. Commun. Netw., vol. 7, no. 4, pp. 505–517, 2021.


S. Dhelim, L. Chen, S. K. Das, H. Ning, C. Nugent, G. Leavey, D. Pesch, E. Bantry-White, and D. Burns, Detecting mental distresses using social behavior analysis in the context of COVID-19: A survey, ACM Comput. Surv., vol. 55, no. 14s, pp. 1–30, 2023.


S. Dhelim, L. Chen, H. Ning, and C. Nugent, Artificial intelligence for suicide assessment using audiovisual cues: A review, Artif. Intell. Rev., vol. 56, pp. 5591–5618, 2023.


A. B. Sada, A. Naouri, A. Khelloufi, S. Dhelim, and H. Ning, A context-aware edge computing framework for smart internet of things, Future Internet, vol. 15, no. 5, p. 154, 2023.


S. Dhelim, N. Aung, M. T. Kechadi, H. Ning, L. Chen, and A. Lakas, Trust2Vec: Large-scale IoT trust management system based on signed network embeddings, IEEE Internet Things J., vol. 10, no. 1, pp. 553–562, 2023.


N. Aung, S. Dhelim, L. Chen, A. Lakas, W. Zhang, H. Ning, S. Chaib, and M. T. Kechadi, VeSoNet: Traffic-aware content caching for vehicular social networks using deep reinforcement learning, IEEE Trans. Intell. Transp. Syst., vol. 24, no. 8, pp. 8638–8649, 2023.

Facebook, Introducing the AI Research SuperCluster—Meta’s cutting-edge AI supercomputer for AI research,, 2022.

A. Bujari, O. Gaggi, M. Luglio, C. E. Palazzi, G. Quadrio, C. Roseti, and F. Zampognaro, Addressing the bandwidth demand of immersive applications through NFV in a 5G network, Mob. Netw. Appl., vol. 25, no. 3, pp. 1114–1121, 2020.


N. Xi, J. Chen, F. Gama, M. Riar, and J. Hamari, The challenges of entering the metaverse: An experiment on the effect of extended reality on workload, Inf. Syst. Front., vol. 25, no. 2, pp. 659–680, 2023.

V. Buterin, A next generation smart contract and decentralized application platform, White Paper, vol. 3, no. 37, 2015.

N. Weerasinghe, T. Hewa, M. Liyanage, S. S. Kanhere, and M. Ylianttila, A novel blockchain-as-a-service (BaaS) platform for local 5G operators, IEEE Open J. Commun. Soc., vol. 2, pp. 575–601, 2021.


H. Gupta, A. V. Dastjerdi, S. K. Ghosh, and R. Buyya, iFogSim: A toolkit for modeling and simulation of resource management techniques in the internet of things, edge and fog computing environments, Softw. Pract. Exper., vol. 47, no. 9, pp. 1275–1296, 2017.

B. Duranske, Reader roundtable: “Virtual rape” claim brings belgian police to second life,, 2007.
L. Lanier, Video game “Roblox” showed a 7-year-old girl’s avatar being raped, gaming/news/roblox-little-girl-avatar-raped-1202865698/, 2018.

J. Cripps and L. Stermac, Cyber-sexual violence and negative emotional states among women in a Canadian university, Int. J. Cyber Criminology, vol. 12, no. 1, pp. 171–186, 2018.

A. Robertson, Meta is adding a ‘personal boundary’ to VR avatars to stop harassment,, 2022.

S. Dhelim, H. Ning, F. Farha, L. Chen, L. Atzori, and M. Daneshmand, IoT-enabled social relationships meet artificial social intelligence, IEEE Internet Things J., vol. 8, no. 24, pp. 17817–17828, 2021.


B. Falchuk, S. Loeb, and R. Neff, The social metaverse: Battle for privacy, IEEE Technol. Soc. Mag., vol. 37, no. 2, pp. 52–61, 2018.

A. V. Rajan, N. Nassiri, V. Akre, R. Ravikumar, A. Nabeel, M. Buti, and F. Salah, Virtual reality gaming addiction, in Proc. 2018 Fifth HCT Information Technology Trends (ITT), Dubai, United Arab Emirates, 2018, pp. 358–363.
D. Yamada-Rice, F. Mushtaq, A. Woodgate, D. Bosmans, A. Douthwaite, I. Douthwaite, W. Harris, R. Holt, D. Kleeman, J. Marsh, et al., Children and virtual reality: Emerging possibilities and challenges,, 2017.
T. Tsang and A. Morris, A hybrid quality-of-experience taxonomy for mixed reality IoT (XRI) systems, in Proc. 2021 IEEE Int. Conf. Systems, Man, and Cybernetics (SMC), Melbourne, Australia, 2021, pp. 1809–1816.
Tsinghua Science and Technology
Pages 795-805
Cite this article:
Aung N, Dhelim S, Chen L, et al. Edge-Enabled Metaverse: The Convergence of Metaverseand Mobile Edge Computing. Tsinghua Science and Technology, 2024, 29(3): 795-805.








Web of Science






Received: 05 February 2023
Revised: 23 May 2023
Accepted: 26 May 2023
Published: 04 December 2023
© The Author(s) 2024.

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