Josep Domenech

TL;DR: This paper analyzes the perceived latency versus the traffic increase (both in bytes and in objects) to evaluate the benefits from the user's perspective and shows that higher algorithm complexity does not improve performance, object-based algorithms outperform those based on pages, and performance among object- based algorithms present minor differences in the object traffic increase.

TL;DR: Experimental results show that the best element of the Web architecture to locate a single prediction engine is the proxy, whose implementation could reduce the perceived latency up to 67% and schemes for collaborative predictors located at diverse elements of theWeb architecture are analyzed.

TL;DR: Results evidence that i) web-based variables are good predictors for firm export orientation, and ii) the process of extracting and analyzing such variables can be entirely automated with no significant loss of performance.

TL;DR: The DDG algorithm that distinguishes between container objects (HTML) and embedded objects is presented to create a new prediction model according to the structure of the current Web to reduce the user's perceived latency.