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A Characterization of Google Stadia Traffic for Modeling Real-Time Streaming Service
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Youngboo | - |
| dc.contributor.author | Oh, Seungmin | - |
| dc.contributor.author | Jeong, Junho | - |
| dc.contributor.author | Kim, Gayoung | - |
| dc.date.accessioned | 2024-08-08T11:31:54Z | - |
| dc.date.available | 2024-08-08T11:31:54Z | - |
| dc.date.issued | 2022-11 | - |
| dc.identifier.issn | 2162-1233 | - |
| dc.identifier.issn | 2162-1241 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/21828 | - |
| dc.description.abstract | Google stadia is a cloud service that provides real-time gaming to remote users, and it pursues to deliver a high volume of multimedia data within low latency for a high level of user experience. It is known well that the google stadia service work without any considerable disturbances on the wired network. However, the wireless network has difficulty serving the high-volume and low-latency services such as the google stadia, and the various type of next-generation wireless communication systems also orients to solve this limitation. Meanwhile, in the wireless network, to design any proper scheme that could deal with the high-volume and low-latency traffic sophisticatedly, the elaborated traffic modeling method is also required. For this purpose, in this paper, we provide our findings for the implementing traffic generator based on the previous work which is related to the analysis of google stadia traffic. © 2022 IEEE. | - |
| dc.format.extent | 3 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | IEEE | - |
| dc.title | A Characterization of Google Stadia Traffic for Modeling Real-Time Streaming Service | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1109/ICTC55196.2022.9952558 | - |
| dc.identifier.scopusid | 2-s2.0-85143250911 | - |
| dc.identifier.bibliographicCitation | 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), v.2022-October, pp 214 - 216 | - |
| dc.citation.title | 2022 13th International Conference on Information and Communication Technology Convergence (ICTC) | - |
| dc.citation.volume | 2022-October | - |
| dc.citation.startPage | 214 | - |
| dc.citation.endPage | 216 | - |
| dc.type.docType | Conference paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.subject.keywordAuthor | google stadia | - |
| dc.subject.keywordAuthor | real-time streaming | - |
| dc.subject.keywordAuthor | traffic characterization | - |
| dc.subject.keywordAuthor | traffic modeling | - |
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