Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches <s> Scheduling for Data Routing <s> Cloud Computing is developing as a key computing platform for sharing resources. How to effectively route storage resource in cloud is so difficulty. This paper presents Cloud Computing Dynamic Route Scheduling for Optimization of Cloud Database for enhancing the efficiency searching database of cloud computing. <s> BIB001 </s> Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches <s> Scheduling for Data Routing <s> Abstract For the cloud database route scheduling problem, this paper designed a cloud database route scheduling algorithm according to the dynamic combination of the genetic algorithm and ant colony algorithm. The initial solution got by the Genetic Algorithm was transformed into the pheromone initial value, which was needed by ant colony algorithm, then the optimal solution by the ant colony algorithm was obtained .Genetic control function was set up to control the opportunity of two algorithm's fusion .This paper proposed a reasonable algorithm,which could find the required database rapidly and effectively, reduce the dynamical load of cloud database routing, and improve the efficiency of cloud computing. <s> BIB002 </s> Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches <s> Scheduling for Data Routing <s> Resources from the Internet, How to faster find the resources from cloud database, it is the database resource allocation algorithm cloud combinatorial optimization problem. Try buzzers and genetic algorithm fusion and normal cloud model algorithm, fast convergence to optimal solutions, and it improved phased efficiency of genetic algorithm from a optimal solution to an optimal solution. <s> BIB003
Data routing scheduling can be regarded as cloud resource scheduling to access the cloud data and services efficiently after the cloud resources have been deployed. For this, BIB001 argued that the database in cloud computing was required rapidly and effectively. Therefore, how the clouds quickly find the most suitable reasonable database is significant, but this is a difficult task. As ACO is an efficient approach to find the shortest path (routing), the authors proposed an ACO-based data routing approach to rapidly and effectively find the database in the cloud computing environment. BIB002 combined the GA and ACO to design a cloud database route scheduling algorithm. Their experiments showed that the approach was reasonable because it could find the required database rapidly and effectively, reducing the dynamical load of cloud database routing and improving the efficiency of cloud computing. BIB003 also proposed finding resources quickly from cloud databases via a GA and ABC fusion approach. 