What is it about?

The inherent dynamicity in grid computing has made it extremely difficult to come up with near-optimal solutions to efficiently schedule tasks in grids. Task Scheduling plays crucial role in Grid computing. It is a challengeable issue among scientists to achieve better results especially in makespan based on various AI methods. Nowadays, non deterministic algorithms provide better results for these tasks. In this study the task scheduling problem in Grid computing environments has been addressed

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Why is it important?

The main objective of this work is that, we tried to apply Queen Bee Algorithm in Grid technology and analyse the makespan, completion time and some related grid parameters based on real and stimulative parameter in real/simulated test-beds in various cases

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This page is a summary of: Independent Task Scheduling in Grid Computing Based on Queen Bee Algorithm, IAES International Journal of Artificial Intelligence (IJ-AI), October 2012, Institute of Advanced Engineering and Science,
DOI: 10.11591/ij-ai.v1i4.1229.
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