Grid computing has been widely adopted for intensive high performance computing. Since grid resources are distributed over complex large-scale infrastructures, understanding grid ...
Tiejun Ma, Yehia El-khatib, Michael Mackay, Christ...
This paper describes the result of performance evaluation of two kinds of MapReduce applications running in the FutureGrid: a data intensive application and a computation intensive...
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...
One of the guiding principles of the Grid is local (site) autonomy. Resource owners maintain control over their resources even when those resources are part of a larger Grid. In o...
Jun Feng, Lingling Cui, Glenn S. Wasson, Marty Hum...
Abstract. Grid computing has great potential for supporting the integration of complex, fast changing biological data repositories to enable distributed data analysis. One scenario...
Lucas Zamboulis, Hao Fan, Khalid Belhajjame, Jenni...