With the wide spread growth of mobile computing devices and local area wireless networks, wireless network providers have started to target the users with value-added services bas...
This paper endeavors to present a scheme to detect and estimate bottleneck bandwidth along the path in the Internet. We have participated in the RIPE NCC’s TTM project to perfor...
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
: Data filtering is an important approach to reduce energy consumption. Following this idea, Interest is used as a constraint to filter uninterested data in sensor networks. Within...
Besides traditional domains (e.g., resource allocation, data mining applications), algorithms for medoid computation and related problems will play an important role in numerous e...