THE processing and storage capabilities of mobile consumer devices are becoming increasingly powerful. A gamut of new mobile applications has thus emerged for providing a better quality of experience for the end users. A class of such applications commonly referred to as mobile augmented reality includes ones that enable delivery of content in response to the user-generated queries for enhancing user’s experience of the environment. Text to speech conversion and optical character recognition (OCR)-based applications for mobile devices follow a similar paradigm. Several interesting usage scenarios thus arise. A user clicks a picture or shoots a video of a desired object-a building, painting in a museum, a CD cover, or a movie poster through a camera phone. The video or image is then processed and sent over the network to an application server (AS) hosting a database of images. The extracted query image is then matched with a suitable entry and the resulting content-object information, location, title song from a CD, or movie trailer-is then streamed back to the user The popularity of mobile applications is steadily increasing. Many of these applications require significant computation power, especially in the case of multimedia applications. Network-Assisted Mobile Computing can help alleviate the processing burden off the Mobile Station without increasing the service latency. Using Dynamic Programming, we identified the optimal processing policy. We identified some important properties of the optimal policy which can be used to guide future system design. A number of factors must be considered for deployment of such a network-assisted mobile computing system. While there exist technology for collaborative networks, one must consider the amount of processing and data that will be permitted to be shared at mid-network nodes. If high security is required, there may be additional costs required to handle mid-network processing. The design challenges will be application and system dependent.
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