While the literature contains several adaptive sampling techniques for statistical comparison of competing simulated system configurations and for embedded statistical computation...
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
Background: R is the preferred tool for statistical analysis of many bioinformaticians due in part to the increasing number of freely available analytical methods. Such methods ca...
Virtual execution environments have become increasingly useful in system implementation, with dynamic translation techniques being an important component for performance-critical ...
This paper presents three contributions to research on middleware load balancing. First, it describes the design of Cygnus, which is an extensible open-source middleware framework...
Jaiganesh Balasubramanian, Douglas C. Schmidt, Law...