: Several solutions have been developed to provide dataintensive applications with the highest possible data rates. Such solutions tried to utilize the available network resources ...
In recent work, we proposed D-Trigger, a framework for tracking a global condition over a large network that allows us to detect anomalies while only collecting a very limited amo...
Ling Huang, Minos N. Garofalakis, Anthony D. Josep...
Data intensive applications, e.g. in life sciences, pose new efficiency challenges to the service composition problem. Since today computing power is mainly increased by multiplica...
Abstract. Computational environments used by scientists should provide high-level support for scientific processes that involve the integrated ematic use of familiar abstractions f...
Allen D. Malony, Jenifer L. Skidmore, Matthew J. S...
Abstract. In this paper, we propose an approach to automatic compiler parallelization based on language extensions that is applicable to a broader range of program structures and a...