Genetic-Based Solutions For Independent Batch Scheduling In Data Grids
Joanna Kołodziej, Magdalena Szmajduch, Lizhe Wang, Dan Chen, Samee U. Khan · 2013
Scheduling in traditional distributed systems has been mainly studied for system performance parameters without data transmission requirements. With the emergence of Data Grids (DGs) and Data Centers, data-aware scheduling has become a major research issue. In this work we present two implementations of classical genetic-based data-aware schedulers of independent tasks submitted to the grid environment. The results of a simple. empirical analysis confirm the high effectiveness of the genetic algorithms in solving very complex data intensive combinatorial optimization problems.