Smaller input data sets such as the test and the train input sets are commonly used in simulation to estimate the impact of architecture/micro-architecture features on the perform...
Wei-Chung Hsu, Howard Chen, Pen-Chung Yew, Dong-yu...
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
Minimizing power consumption is of paramount importance during the design of embedded (mobile computing) systems that come as systems-ona-chip, since interdependencies of design c...
Users of highly popular Web sites may experience long delays when accessing information. Upgrading content site infrastructure from a single node to a locally distributed Web clus...
Valeria Cardellini, Michele Colajanni, Philip S. Y...
Replicating content across a geographically distributed set of servers and redirecting clients to the closest server in terms of latency has emerged as a common paradigm for impro...
Rupa Krishnan, Harsha V. Madhyastha, Sridhar Srini...