Multi-objective optimization model of virtual resources scheduling under cloud computing and it´s solution

It´s an basic requirement in cloud computing that scheduling virtual resources to physical resources with balance load, however, the simple scheduling methods can not meet this requirement. This paper proposed a virtual resources scheduling model and solved it by advanced Non-dominated Sorting Genetic Algorithm II (NSGA II). This model was evaluated by balance load, virtual resources and physical resources were abstracted a lot of nodes with attributes based on analyzing the flow of virtual resources scheduling. NSGA II was employed to address this model and a new tree sorting algorithms was adopted to improve the efficiency of NSGA II. In experiment, verified the correctness of this model. Comparing with Random algorithm, Static algorithm and Rank algorithm by a lot of experiments, at least 1.06 and at most 40.25 speed-up of balance degree can be obtained by NSGA II.