Recommender systems are used to suggest customized products to users. Most recommender algorithms create collaborative models by taking advantage of web user profiles. In the las...
Elica Campochiaro, Riccardo Casatta, Paolo Cremone...
The main problem we address in this paper is how to map the requirements of a known media service workload into the corresponding system resource requirements and to accurately siz...
The threat of commoditization poses a real challenge for service providers. While the end-to-end principle is often paraphrased as “dumb network, smart end-systems”, the origi...
Abstract--After the seminal work by Taqqu et al. relating selfsimilarity to heavy-tailed distributions, a number of research articles verified that aggregated Internet traffic time...
Channel-aware scheduling and link adaptation (LA) methods are widely considered to be crucial for realizing high data rates in wireless networks. Multi-carrier systems that spread...