Mobile web browsing based on content preserving with reduced cost

Internet has played a drastic change in today´s life. Especially, web browsing has become more exclusive in compact devices. This tempts the people to migrate their innovations & skills into an unimaginable world. With these things in mind, it is necessary for us to concentrate more on the techniques that how the web data´s are accessed and accounted. Developed countries use a widely popular technique called Flat-rate pricing, which is solely independent on data usage. But whereas, developing countries are still behind the concept of “pay as you use”, which leads to high usage bills. With an effort to resolve the problem of high usage bills, we propose a cost effective technique, which reduces the data consumption in web mobile browsing. It reduces the usage bills in the mechanism of usage-based pricing. The key idea of our approach is to leverage the data plan of the user to compute a cost quota for each web request and a network middle-box to automatically adapt any web page to the cost quota. Here we use a simple but effective content adaption technique that highly decides which image or data best fits the mobile display with low cost and high quality resolution. It also emphasis on the trendy technique,” The Data Mining “which mines the requested & required data. The mined data´s are filtered based on the content adaption technique and fit into the display effectively. Interesting and noticeable feature in this concept is that only important web contents requested by the user are exhibited. A feedback process involves in this concept to retrieve the required data alone and also to improve the best fit resolution. With this proposed system web mobile browsing becomes cheaper & contributes an enormous logic for the future project in the field of Mobile browsing.