A key goal of grid computing is to provide seamless access to shared computational and data resources across organizational boundaries, in distributed virtual organizations. Grid ...
Onur Demir, Michael R. Head, Kanad Ghose, Madhusud...
-- Measurements from sensors as they are used for robotic grid map applications typically show behavior like degradation or discalibration over time, which affects the quality of t...
GridFTP, designed by using the Globus XIO framework, is one of the most popular methods for performing data transfers in the Grid environment. But the performance of GridFTP in WA...
Hari Subramoni, Ping Lai, Rajkumar Kettimuthu, Dha...
Grid computing provides a robust paradigm to aggregate disparate resources in a secure and controlled environment. Grid architectures require an underpinning Quality of Service (Qo...
Rashid J. Al-Ali, Kaizar Amin, Gregor von Laszewsk...
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...