학술논문
Genetic-Based solutions for independent batch scheduling in Data Grids
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Text
Source
ECMS 2013 : 27th European Conference on Modelling and Simulation, Aalesund, Norway, May 27th –30th , 2013 : proceedings / W. Rekdalsbakken, R. T. Bye, H. Zhang
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Abstract
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.