標題: On Local Cache Management Strategies for Mobile Augmented Reality
作者: Wu, Chien-Cheng
Tung, Li-Ping
Lin, Chih-Yu
Lin, Bao-Shuh P.
Tseng, Yu-Chee
資訊工程學系
Department of Computer Science
公開日期: 1-Jan-2014
摘要: Mobile Augmented Reality (MAR) is generally defined as the service that is capable of enhancing the real-world camera views of a smartphone with extra information on top of the screen. Thus, MAR has triggered strong interests in mobile e-commerce, location-based service, etc. However, MAR is usually constrained by the local storage and computing power of the device as well as the latency and bandwidth of the underlying wireless channel. The computation demand is high because a targeted object needs to be compared to lots of images in the database. The communication demand is high because potential objects need to be continuously transmitted to the server and the augmented information needs to be downloaded from the server. This paper investigates the Local Cache Management (LCM) problem to manage the computation and communication work of a mobile device and harmonize the local and remote workloads. We present strategies to pre-fetch higher-priority objects from the server and replace lower-priority objects in the local cache based on temporal and spatial access locality. We verify the effectiveness of our strategies in term of cache hit ratio, response latency, and remote requests via simulations.
URI: http://hdl.handle.net/11536/128656
ISSN: 
期刊: 2014 IEEE 15TH INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS (WOWMOM)
Appears in Collections:Conferences Paper