Testing and Evaluating of Predictive Data Push Technology Framework for Mobile Devices

Current mobile devices with a wireless connectivity are used increasingly as clients of online application servers. Users can use also a increasingly portfolio of hardware and software capabilities to support such connectivity. One problem however still exists in a slow wireless connection in such defined type of using. To allow a work with same comfort as on desktop devices, the prebuffering techniques can be used to reduce a problem of slow downlink. Managing of prebuffering of large data artifacts is made on intelligent decision core based on a current user position computation and future predicted movement computation. All large data artifacts are stored in database along with its position information. The accessing of prebuffered data artifacts on mobile device improve the download speed and reduce a response time needed to view large multimedia data. Testing and evaluating of developed PDPT Framework solution is also presented and discussed along with major tests results.

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