Abstract:For the problem of cloud computing resourcescheduling

based on the fuzzy programming theory

a fuzzy cloud resourcescheduling model under timecost constraint was set up

the uncertain executiontime of tasks is represented by the triangular fuzzy number

and the target isto minimize the average value and standard deviation of the evaluation functionAn improved chaotic ant colony algorithm was proposed to solve the model

theelitist strategy is introduced to optimize the pheromone updating

a chaoticmapping with infinite folding times is used for chaotic search

and theadaptive chaotic disturbance mechanism is designed to enhance the globalsearching ability The model and algorithm were tested on the Cloudsim platform

the reliability of the model was proved

and the experimental results showedthat the proposed algorithm had better performance in convergence speed

solution ability and load balance