demonstration

Rhizome: utilizing the public cloud to provide 3D gaming infrastructure

Authors:

Ryan Shea,

Di Fu,

Jiangchuan LiuAuthors Info & Claims

MMSys '15: Proceedings of the 6th ACM Multimedia Systems Conference

Pages 97 - 100

https://doi.org/10.1145/2713168.2713190

Published: 18 March 2015 Publication History

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Abstract

Motivated by our systematic study on the diverse aspects of migrating gaming services to a virtualized cloud environment, we designed and implemented a fully virtualized cloud gaming platform, Rhizome, utilizing the latest hardware support for both remote servers and local clients. Our platform takes the first step towards bridging online gaming systems and public clouds. To accomplish ultra-low latency and a low power consumption gaming experience, we further optimized Rhizome's thin-client configuration and its interaction modules. In this proposed demo, we demonstrate that gaming over a virtualized cloud can be made possible with careful optimization and integration of different modules. It also helps us reveal the critical challenges towards full-fledged deployment of gaming services over public virtualized cloud.

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Jaya ILi YCai W(2024)Deep reinforcement learning based resource allocation in edge-cloud gamingMultimedia Tools and Applications10.1007/s11042-024-18337-283:26(67903-67926)Online publication date: 29-Jan-2024
https://doi.org/10.1007/s11042-024-18337-2
Cozzolino VTonetto LMohan NDing AOtt J(2023)Nimbus: Towards Latency-Energy Efficient Task Offloading for AR ServicesIEEE Transactions on Cloud Computing10.1109/TCC.2022.314661511:2(1530-1545)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TCC.2022.3146615
Jaya ILi YCai WMagalhães Jdel Bimbo ASatoh SSebe NAlameda-Pineda XJin QOria VToni L(2022)Improving Scalability, Sustainability and Availability via Workload Distribution in Edge-Cloud GamingProceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3548319(2987-2995)Online publication date: 10-Oct-2022
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Rhizome: utilizing the public cloud to provide 3D gaming infrastructure
1. Information systems
  1. Information systems applications
    1. Multimedia information systems

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Information

Published In

MMSys '15: Proceedings of the 6th ACM Multimedia Systems Conference

March 2015

277 pages

ISBN:9781450333511

DOI:10.1145/2713168

General Chair:
Wei Tsang Ooi
National University of Singapore, Singapore
,
Program Chairs:
Wu-chi Feng
Portland State University
,
Feng Liu
Portland State University

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 18 March 2015

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MMSys '15: Multimedia Systems Conference 2015

March 18 - 20, 2015

Oregon, Portland

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MMSys '15 Paper Acceptance Rate 12 of 41 submissions, 29%;

Overall Acceptance Rate 176 of 530 submissions, 33%

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Jaya ILi YCai W(2024)Deep reinforcement learning based resource allocation in edge-cloud gamingMultimedia Tools and Applications10.1007/s11042-024-18337-283:26(67903-67926)Online publication date: 29-Jan-2024
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Cozzolino VTonetto LMohan NDing AOtt J(2023)Nimbus: Towards Latency-Energy Efficient Task Offloading for AR ServicesIEEE Transactions on Cloud Computing10.1109/TCC.2022.314661511:2(1530-1545)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TCC.2022.3146615
Jaya ILi YCai WMagalhães Jdel Bimbo ASatoh SSebe NAlameda-Pineda XJin QOria VToni L(2022)Improving Scalability, Sustainability and Availability via Workload Distribution in Edge-Cloud GamingProceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3548319(2987-2995)Online publication date: 10-Oct-2022
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Li YWang XLiu HPu LTang SWang GLiu X(2022)Reinforcement Learning-Based Resource Partitioning for Improving Responsiveness in Cloud GamingIEEE Transactions on Computers10.1109/TC.2021.307087971:5(1049-1062)Online publication date: 1-May-2022
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Nyamtiga BHermawan ALuckyarno YKim TJung DKwak JYun J(2022)Edge-Computing-Assisted Virtual Reality Computation Offloading: An Empirical StudyIEEE Access10.1109/ACCESS.2022.320512010(95892-95907)Online publication date: 2022
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