In this paper we examine the feasibility of running message passing applications across clouds. Our on-going Unibus project aims to provide a flexible approach to provisioning and ...
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Abstract. In this talk, I will review some of the work performed by the research community in cryptology and security since the invention of public key cryptography by Diffie and H...
Sensor networks promise viable solutions to many monitoring problems. However, the practical deployment of sensor networks faces many challenges imposed by real-world demands. Sen...
Bartosz Przydatek, Dawn Xiaodong Song, Adrian Perr...
Background: Molecular biologists need sophisticated analytical tools which often demand extensive computational resources. While finding, installing, and using these tools can be ...