Cloud workflow scheduling optimization research based on ant colony algorithm

In view of the fact that enterprises can improve productivity through workflows, problem huge number multi-user workflows and unbalanced user load on cloud computing platforms is investigated, based an ant colony algorithm for decision task optimisation. With help a intelligence algorithm, automatic scheduling tasks optimisation resources are accomplished while satisfying enterprise's needs, meeting server time constraints balancing. The optimised workflow builds intelligent business system highly flexible scalable, three times faster in terms processing speed than before