Smart web caching with structured neural network

Due to the increasing processing capabilities of the single machines connected to the internet, new and more demanding services have been developed. Multimedia, electronic mail, computer/ video conferencing, and, last but not least, very easy to use graphical front ends to the wealth of information accessible via the World Wide Web (WWW) stressed the internet to its limits. However, the recent increase in popularity of the WWW has led to a considerable increase in the amount of traffic over the internet. As a result, the Web has now become one of the primary bottlenecks to network performance. When objects are requested by a user who is connected to a server on a slow network link, there is generally considerable latency noticeable at the client end. In order to reduce access latencies, it is desirable to store copies of popular objects closer to the user. Thus in our study, we proposed a concept of Smart Script Retrieval (SSR) as a smart script selector when the application is fetching scripts from the Script Storage. SSR caches selected scripts on the local Script Storage (cache storage). If there is another call to the script, SSR takes the script from the local script storage rather than fetching it from the original Script Storage that maybe remote. The results are convincing in reducing the traffic flow while enhancing the performance.