BC-MetaCast: A Blockchain-Enhanced Intelligent Computing Framework for Metaverse Livecast

被引:0
|
作者
Wu, Zhonghui [1 ]
Xu, Changqiao [2 ,3 ]
Chen, Xingyan [4 ]
Ma, Yunxiao
Zhong, Lujie [5 ]
Zhang, Hongke [6 ]
Grieco, Luigi Alfredo [7 ]
机构
[1] Beijing Univ Posts & Telecommun, Beijing, Peoples R China
[2] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China
[3] Beijing Univ Posts & Telecommun, Network Architecture Res Ctr, Beijing, Peoples R China
[4] Southwestern Univ Finance & Econ, Sch Econ Informat Engn, Chengdu, Peoples R China
[5] Capital Normal Univ, Informat Engn Coll, Beijing, Peoples R China
[6] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
[7] Politecn Bari, Telecommun DEI, Bari, Italy
来源
IEEE NETWORK | 2023年 / 37卷 / 04期
基金
中国国家自然科学基金;
关键词
Deep learning; Couplings; Metaverse; Scalability; Smart contracts; Reinforcement learning; Blockchains; Machine learning; CLOUD; OPTIMIZATION;
D O I
10.1109/MNET.001.2200563
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Livecast in metaverse, such as Metaverse Concert, is gaining momentum, however, its extremely compute-intensive and delay-sensitive features challenge the ability of current computing paradigm. Besides, decentralization, which is one of the core ideas of the metaverse, drives the move away from cloud computing and edge computing. Hence, it urges a trustworthy, robust, and efficient intelligent computing paradigm to meet these requirements. In this article, we discuss the problems related to livecast in metaverse, and propose a blockchain-enhanced intelligent computing framework for metaverse livecast (BC-MetaCast). With smart contracts built upon a hybrid blockchain with multiple regions, BC-MetaCast offers a decentralized and truthful framework. Besides, we design On&Off-Chain Superimposed DRL (Sup-DRL) algorithm based on deep reinforcement learning in BC-MetaCast to achieve efficient computational task. Finally, experimental results are provided to illustrate that BC-MetaCast is reliable, scalable, and can provide superior service quality compared to state-of-art schemes.
引用
收藏
页码:161 / 168
页数:8
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