Cloud-Based Dynamic Streaming and Loading of 3D Scene

Tandianus, Budianto; Seah, Hock Soon; Vu, Tuan Dat; Phan, Anh T.

doi:10.1109/cw.2018.00079

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…An example of research in the virtual campus context is mapping of physical to virtual walking in virtual campus walkthrough application due to space constraint in physical space [4]. Tandianus et al proposed an on-demand dynamic 3D asset streaming of Nanyang Technological University for devices with limited resources such as mobile devices [8], [9]. In terms of service, Sharma et al presented a potential for evacuation drill in the virtual campus [3].…”

Section: Related Workmentioning

confidence: 99%

UniverseSITy: applied learning in a university metaverse

Tandianus,

Wong

2024

International Workshop on Advanced Imaging Technology (IWAIT) 2024

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Section: Related Workmentioning

confidence: 99%

UniverseSITy: applied learning in a university metaverse

Tandianus,

Wong

2024

International Workshop on Advanced Imaging Technology (IWAIT) 2024

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“…Extensively studies have been conducted to optimize cloud gaming services, including graphical rendering [9], edge allocation [8], bandwidth allocation [21], server resource management [11], and dynamic streaming [22]. In contrast, few researchers investigated novel cloud gaming pricing strategies, which adopt playing time as their pricing criteria.…”

Section: Introductionmentioning

confidence: 99%

CloudArcade: A Blockchain Empowered Cloud Gaming System

Zhao

Chi

Wang

et al. 2020

Proceedings of the 2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure

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By rendering game scenes on the remote cloud and delivering real-time video to end devices via the Internet, cloud gaming enables players to access game services anytime anywhere despite the hardware capacity of their terminals. However, as a commercial service, the state-of-the-art payment models for cloud gaming are still in their preliminary stages. In this paper, we reveal the shortages of existing cloud gaming pricing models and propose CloudArcade, a token-based cloud gaming system that employs blockchain-empowered cryptocurrency as a payment method for the players using the cloud gaming services. By using cryptocurrency, CloudArcade provides a transparent and resource-aware pricing method, it also enables a time irrelevant silent payment on the floating price to protects users' payment. These features eliminate the quality of experience degradation caused by the spot price in the traditional dynamic pricing model on the QoE-aware service pricing. We also employ the payment channel in CloudArcade to improve the system performance. Discussions on service pricing criteria are put forward, open issues about token issuing and malicious resource speculation are also reviewed. We believe the design of CloudArcade can show a good generality on other QoE-aware and human-centered applications.

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CryptoArcade: A Cloud Gaming System With Blockchain-Based Token Economy

Fan

Zhao

et al. 2023

IEEE Trans. Cloud Comput.

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Cloud-Based Dynamic Streaming and Loading of 3D Scene

Cited by 3 publications

References 13 publications

UniverseSITy: applied learning in a university metaverse

UniverseSITy: applied learning in a university metaverse

CloudArcade: A Blockchain Empowered Cloud Gaming System

CryptoArcade: A Cloud Gaming System With Blockchain-Based Token Economy

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