Simulation on the optimized scheduling of multi-tenant software under cloud computing environment

Multi-tenant software scheduling strategy based on hybrid genetic algorithm and ant colony algorithm was proposed, scheduling resource and scheduling tasks were dispersed into multiple resource nodes and task nodes, encoded on the chromosome through natural number, the fitness function was utilized to assess the quality of chromosomes, according to fitness value to the individual offspring obtained by genetic algorithms, in order to get the best individual as initial value. Experimental results show that the proposed method using multi-tenant software scheduling are better than traditional methods on run-time, the performance of resource utilization, with a stronger multi-tenant software scheduling capability.