Reliable distributed computing for metaverse: a hierarchical game-theoretic approach
The metaverse is regarded as a new wave of technological transformation that provides a virtual space for people to interact through digital avatars. To achieve immersive user experiences in the metaverse, real-time rendering is the key technology. However, computing intensive tasks of real-time ren...
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sg-ntu-dr.10356-1638362022-12-19T07:17:13Z Reliable distributed computing for metaverse: a hierarchical game-theoretic approach Jiang, Yuna Kang, Jiawen Niyato, Dusit Ge, Xiaohu Xiong, Zehui Miao, Chunyan Shen, Sherman Xuemin School of Computer Science and Engineering Engineering::Computer science and engineering Metaverse Blockchain The metaverse is regarded as a new wave of technological transformation that provides a virtual space for people to interact through digital avatars. To achieve immersive user experiences in the metaverse, real-time rendering is the key technology. However, computing intensive tasks of real-time rendering from metaverse service providers cannot be processed efficiently on a single resource-limited mobile device. Alternatively, such mobile devices can offload the metaverse rendering tasks to other mobile devices by adopting the collaborative computing paradigm based on Coded Distributed Computing (CDC). Therefore, this paper introduces a hierarchical game-theoretic CDC framework for the metaverse services, especially for vehicular metaverse. In the framework, idle resources from vehicles, acting as CDC workers, are aggregated to handle intensive computation tasks in the vehicular metaverse. Specifically, in the upper layer, a miner coalition formation game is formulated based on a reputation metric to select reliable workers. To guarantee the reliable management of reputation values, the reputation values calculated based on the subjective logical model are maintained in a blockchain database. In the lower layer, a Stackelberg game based incentive mechanism is considered to attract reliable workers selected in the upper layer to participate in rendering tasks. The simulation results illustrate that the proposed framework is resistant to malicious workers. Compared with the baseline schemes, the proposed scheme can improve the utility of metaverse service provider and average profit of CDC workers. Ministry of Education (MOE) National Research Foundation (NRF) Published version This work was supported in part by the fund from Science, Technology and Innovation Commission of Shenzhen Municipality 2021Szvup092, in part by the National Natural Science Foundation of China under Grant U2001210 and 62102099, in part by China Scholarship Council (CSC), in part by the National Research Foundation (NRF) and Infocomm Media Development Authority under the Future Communications Research & Development Programme (FCP), under the AI Singapore Programme (AISG) (AISG2-RP-2020-019), under Energy Research Test-Bed and Industry Partnership Funding Initiative, part of the Energy Grid (EG) 2.0 programme, under DesCartes and the Campus for Research Excellence and Technological Enterprise (CREATE) programme, Alibaba Group through Alibaba Innovative Research (AIR) Program and Alibaba-NTU Singapore Joint Research Institute (JRI), and Singapore Ministry of Education (MOE) Tier 1 (RG16/20), in part by National Research Foundation, Singapore and Infocomm Media Development Authority under its Future Communications Research & Development Programme, in part by the SUTD SRG-ISTD-2021-165, the SUTD-ZJU IDEA Grant (SUTD-ZJU (VP) 202102), and the SUTD-ZJU IDEA Seed Grant (SUTD-ZJU (SD) 202101). 2022-12-19T07:17:13Z 2022-12-19T07:17:13Z 2022 Journal Article Jiang, Y., Kang, J., Niyato, D., Ge, X., Xiong, Z., Miao, C. & Shen, S. X. (2022). Reliable distributed computing for metaverse: a hierarchical game-theoretic approach. IEEE Transactions On Vehicular Technology, 1-16. https://dx.doi.org/10.1109/TVT.2022.3204839 0018-9545 https://hdl.handle.net/10356/163836 10.1109/TVT.2022.3204839 2-s2.0-85137865498 1 16 en AISG2-RP-2020-019 RG16/20 SRG-ISTD-2021-165 SUTD-ZJU (VP) 202102 SUTD-ZJU (SD) 202101 IEEE Transactions on Vehicular Technology © 2022 IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. application/pdf |
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Engineering::Computer science and engineering Metaverse Blockchain Jiang, Yuna Kang, Jiawen Niyato, Dusit Ge, Xiaohu Xiong, Zehui Miao, Chunyan Shen, Sherman Xuemin Reliable distributed computing for metaverse: a hierarchical game-theoretic approach |
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The metaverse is regarded as a new wave of technological transformation that provides a virtual space for people to interact through digital avatars. To achieve immersive user experiences in the metaverse, real-time rendering is the key technology. However, computing intensive tasks of real-time rendering from metaverse service providers cannot be processed efficiently on a single resource-limited mobile device. Alternatively, such mobile devices can offload the metaverse rendering tasks to other mobile devices by adopting the collaborative computing paradigm based on Coded Distributed Computing (CDC). Therefore, this paper introduces a hierarchical game-theoretic CDC framework for the metaverse services, especially for vehicular metaverse. In the framework, idle resources from vehicles, acting as CDC workers, are aggregated to handle intensive computation tasks in the vehicular metaverse. Specifically, in the upper layer, a miner coalition formation game is formulated based on a reputation metric to select reliable workers. To guarantee the reliable management of reputation values, the reputation values calculated based on the subjective logical model are maintained in a blockchain database. In the lower layer, a Stackelberg game based incentive mechanism is considered to attract reliable workers selected in the upper layer to participate in rendering tasks. The simulation results illustrate that the proposed framework is resistant to malicious workers. Compared with the baseline schemes, the proposed scheme can improve the utility of metaverse service provider and average profit of CDC workers. |
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School of Computer Science and Engineering |
author_facet |
School of Computer Science and Engineering Jiang, Yuna Kang, Jiawen Niyato, Dusit Ge, Xiaohu Xiong, Zehui Miao, Chunyan Shen, Sherman Xuemin |
format |
Article |
author |
Jiang, Yuna Kang, Jiawen Niyato, Dusit Ge, Xiaohu Xiong, Zehui Miao, Chunyan Shen, Sherman Xuemin |
author_sort |
Jiang, Yuna |
title |
Reliable distributed computing for metaverse: a hierarchical game-theoretic approach |
title_short |
Reliable distributed computing for metaverse: a hierarchical game-theoretic approach |
title_full |
Reliable distributed computing for metaverse: a hierarchical game-theoretic approach |
title_fullStr |
Reliable distributed computing for metaverse: a hierarchical game-theoretic approach |
title_full_unstemmed |
Reliable distributed computing for metaverse: a hierarchical game-theoretic approach |
title_sort |
reliable distributed computing for metaverse: a hierarchical game-theoretic approach |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/163836 |
_version_ |
1753801090111897600 |