A Cloud-Based Framework to Enhance Augmented Reality
Chung-Ting Kao, Kai-Yuan Jan, Rick C.S. Chen · 2013
We propose a cloud-based framework for AR applications. The framework is combined of state-of-the-art Virtualization Desktop Infrastructure (VDI) of Personal Cloud Computer (PC2) and parallel computing technique of MapReduce. We design a sophisticated client-server architecture to enhance performance of multi-user Augmented Reality (AR) application. Computing load balance is the design concern between client devices and application servers. A multi-user AR game is used as case study running on parallel Virtual Machines (Vs.). We also explore the concurrent AR mechanism on cooperation VMs. Finally, we conclude our proposed work and point future work.