Pattern Reduction for Low-Traffic Speculative Video Transmission in Cloud Gaming System

Ishioka, Takumasa; Fukui, Tatsuya; Fujiwara, Toshihito; Narikawa, Satoshi; Fujihashi, Takuya; Saruwatari, Shunsuke; Watanabe, Takashi

doi:https://doi.org/10.1109/ACCESS.2024.3352435

Pattern Reduction for Low-Traffic Speculative Video Transmission in Cloud Gaming System

Ishioka, Takumasa; Fukui, Tatsuya; Fujiwara, Toshihito et al.

IEEE Access, 2024, 12, 8902-8911

Number of Access:46（2025-04-27 17:11 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/94589

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Title	Pattern Reduction for Low-Traffic Speculative Video Transmission in Cloud Gaming System
Creator	CreatorName Ishioka, Takumasa
	CreatorName Fukui, Tatsuya
	CreatorName Fujiwara, Toshihito
	CreatorName Narikawa, Satoshi
	NRID 1000010785520 1000010785520 ORCID 0000-0002-6960-0122 0000-0002-6960-0122 researchmap permalink T-Fujihashi T-Fujihashi Scopus Author ID 55440476600 55440476600 CreatorName Fujihashi, Takuya
	NRID 1000050507811 1000050507811 ORCID 0000-0002-1625-5521 0000-0002-1625-5521 researchmap permalink 7000000880 7000000880 Scopus Author ID 8355704500 8355704500 CreatorName Saruwatari, Shunsuke
	NRID 1000090201201 1000090201201 ORCID 0000-0002-3227-9048 0000-0002-3227-9048 researchmap permalink wtrm200902 wtrm200902 Scopus Author ID 55640512600 55640512600 CreatorName Watanabe, Takashi
Subject	Cloud-gaming
	low-latency
	speculative execution
Description	Ishioka T., Fukui T., Fujiwara T., et al. Pattern Reduction for Low-Traffic Speculative Video Transmission in Cloud Gaming System. IEEE Access 12, 8902 (2024); https://doi.org/10.1109/ACCESS.2024.3352435.
Abstract	Cloud gaming allows users to play high-quality games on low-end devices by offloading game processing to the cloud. However, network latency remains a significant issue affecting the gaming experience. Speculative execution is a promising approach to hide network latency by predicting and transmitting future frames early. However, existing methods generate excessive compute load and network traffic due to many potential input patterns. This paper introduces a pattern reduction method that uses a bit field representation of the input and facilitates efficient speculative execution in cloud games. There are two pattern reduction techniques: analyzing temporal patterns to detect frequent transitions and using LSTM-based predictions to estimate input probabilities. Experiments using actual gaming data show that the proposed methods significantly reduce rendered frames and network traffic versus prior speculative execution methods. The results demonstrate the method's effectiveness and scalability across diverse game genres.
Publisher	Institute of Electrical and Electronics Engineers Inc.
Source Title	IEEE Access
Volume (Issue)	12
Page	8902-8911
Date of Issued	2024-01-19
Language	English
Handle URL	https://hdl.handle.net/11094/94589
eISSN	21693536
Relation.isIdenticalTo	DOI (Publisher Version) https://doi.org/10.1109/ACCESS.2024.3352435
Access Rights	open access
CopyRight	This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
oaire:version	Version of Record
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
DCMI Type	Text
DCTERMS.bibliographicCitation	IEEE Access. 2024, 12, p. 8902-8911
DC.title	Pattern Reduction for Low-Traffic Speculative Video Transmission in Cloud Gaming System
DC.creator	Ishioka, Takumasa
	Fukui, Tatsuya
	Fujiwara, Toshihito
	Narikawa, Satoshi
	Fujihashi, Takuya
	Saruwatari, Shunsuke
	Watanabe, Takashi
DC.publisher	Institute of Electrical and Electronics Engineers Inc.
DC.language' scheme='DCTERMS.RFC1766	English
DC.type' scheme='DCTERMS.DCMIType	Text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2024-01-19
DC.identifier	https://doi.org/10.1109/ACCESS.2024.3352435
DC.subject	Cloud-gaming
	low-latency
	speculative execution
DC.description	Ishioka T., Fukui T., Fujiwara T., et al. Pattern Reduction for Low-Traffic Speculative Video Transmission in Cloud Gaming System. IEEE Access 12, 8902 (2024); https://doi.org/10.1109/ACCESS.2024.3352435.
DCTERMS.abstract	Cloud gaming allows users to play high-quality games on low-end devices by offloading game processing to the cloud. However, network latency remains a significant issue affecting the gaming experience. Speculative execution is a promising approach to hide network latency by predicting and transmitting future frames early. However, existing methods generate excessive compute load and network traffic due to many potential input patterns. This paper introduces a pattern reduction method that uses a bit field representation of the input and facilitates efficient speculative execution in cloud games. There are two pattern reduction techniques: analyzing temporal patterns to detect frequent transitions and using LSTM-based predictions to estimate input probabilities. Experiments using actual gaming data show that the proposed methods significantly reduce rendered frames and network traffic versus prior speculative execution methods. The results demonstrate the method's effectiveness and scalability across diverse game genres.
DC.rights	This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
DC.format	94589
citation_title	Pattern Reduction for Low-Traffic Speculative Video Transmission in Cloud Gaming System
citation_author	Ishioka, Takumasa
	Fukui, Tatsuya
	Fujiwara, Toshihito
	Narikawa, Satoshi
	Fujihashi, Takuya
	Saruwatari, Shunsuke
	Watanabe, Takashi
citation_publisher	Institute of Electrical and Electronics Engineers Inc.
citation_language	English
citation_date	2024-01-19
citation_journal_title	IEEE Access
citation_volume	12
citation_firstpage	8902
citation_lastpage	8911
citation_doi	https://doi.org/10.1109/ACCESS.2024.3352435
citation_public_url	https://hdl.handle.net/11094/94589

Pattern Reduction for Low-Traffic Speculative Video Transmission in Cloud Gaming System

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