Selection of resources for execution of scientific workflows in data grids becomes challenging with the exponential growth of files as a result of the distribution of scientific e...
Grid computing systems utilize distributive owned and geographically dispersed resources for providing a wide variety of services for various applications. It is possible that the...
Recently, grid computing has become a popular technology for large-scale scientific or business computing. Grid workflow system can enhance the flexibility and efficiency of the g...
Abstract. Grids are very complex and volatile infrastructures that exhibit parallel and distributed characteristics. To harness their complexity as well as the increasing intricacy...
Scientific workflows are frequently being used to model complex phenomena, to analyze instrumental data, to tie together information from distributed sources, and to pursue other ...