透過您的圖書館登入
IP:3.144.39.97
  • 學位論文

伺服器中對於行動裝置社交型虛擬實境應用的動態頻寬分配

Local and Dynamic Bandwidth Allocation for Mobile Social VR Applications on a Server

指導教授 : 劉邦鋒
若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

並列摘要


In this paper we present a bandwidth management framework that determines a proper bandwidth for each instance in order to get higher user experience, then dynamically allocate bandwidth based on network requirement of each instance. We propose a way to quantify user experience, and propose a dynamic programming method to find optimal allocation so as to maximize the total quantified users experience. We also propose a greedy method that can determine proper bandwidth for each instance according to near future demand prediction. Our experiment confirms that the greedy method is both effective and efficient. We also confirm that our bandwidth requirement prediction method is effective.

參考文獻


[1] Aws auto scaling. https://aws.amazon.com/autoscaling/. Accessed: 2018-05-02.
[2] List of the most popular social vr platforms. https://www.vrandfun.com/popular-social-vr-platform-list/. Accessed: 2018-04-22.
[3] Microsoft azure. https://azure.microsoft.com/en-us/features/autoscale/. Accessed: 2018-05-02.
[4] Vrchat. https://www.vrchat.net/. Accessed: 2018-04-22.
[5] M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia. A view of cloud computing. Commun. ACM, 53(4):50–58, Apr. 2010.

延伸閱讀