Multi-dimensional Constrained Cloud Computing Task Scheduling Mechanism Based on Genetic Algorithm

Peng Liu, Youchan Zhu


A new Cloud Computing task scheduling mechanism with multi-dimensional constrained based on Genetic Algorithm (GA) was proposed to reduce time to complete tasks and to improve usersâ?? satisfaction by reducing expenses. The algorithm improves fitness function with comprehensive efficiency constituted of shortest completion time and minimum cost. Finally, simulation results showed that this algorithm is highly efficient and meet not only performance needs but also economic needs of users.

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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