EFFICIENT DYNAMIC VAGUE RESOURCES LEVEL PLANNING ALGORITHM TECHNIQUES FOR CLOUD COMPUTING

System virtualization provides low-cost, adjustable and powerful creating environment for virtualized data centers, which plays an important role in the support of Cloud computing. However, the virtualization also carry some phalanges, particularly to the resource management and task scheduling. This paper nominate an adequate dynamic task scheduling game plan for virtualized data centers. Considering the availability and responsiveness performance, the general model of the task scheduling for virtual data centers is built and formulated as a two-objective escalation. A balletic fuzzy prediction method is given to model the insecure workload and the vague availability of idealized server nodes, by using the type-I and type-II fuzzy logic systems. An on-line forceful task scheduling innovation named SALAF is proposed and evaluated. empirical results show that our algorithm can improve the total occasion of the utilized data center while subject to good responsiveness achievement.