Conventional autotuning configuration of parameters in distributed computing systems using evolutionary strategies increases integrated performance notably, though at the expense ...
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
ZebraNet is a mobile, wireless sensor network in which nodes move throughout an environment working to gather and process information about their surroundings [10]. As in many sen...
Ting Liu, Christopher M. Sadler, Pei Zhang, Margar...
Active probe-based measurements are the foundation for understanding important network path properties such as SLA compliance and available bandwidth. Well-known challenges in act...
How fast is the network? The speed at which real users can download content at different locations and at different times is an important metric for service providers. Knowledge o...
Alexandre Gerber, Jeffrey Pang, Oliver Spatscheck,...