Effective and efficient mapping algorithms for multisite parallel applications are fundamental to exploit the potentials of grid computing. Since the problem of optimally mapping i...
Ivanoe De Falco, Antonio Della Cioppa, Umberto Sca...
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Spatial Information Grid (SIG) is a project of applying grid technology to share and integrate spatial data resources, information processing resources, equipment resources, and kn...
Chunhui Yang, Deke Guo, Yan Ren, Xueshan Luo, Jinf...
We describe a software architecture for storage services in computational grid environments. Based upon a lightweight message-passing paradigm, the architecture enables the provis...
— We present the ASKALON environment whose goal is to simplify the development and execution of workflow applications on the Grid. ASKALON is centered around a set of high-level...
Thomas Fahringer, Radu Prodan, Rubing Duan, France...