Research on the Construction of Digital Education Cloud Resource Database Based on Ant Colony Algorithm

Cloud computing has become one of the hot research directions in academia. With the help of virtualization technology, cloud computing transforms the large-scale and complex physical resources in the cloud environment into different kinds of virtual resource pools for unified management, and automatically deploys the tasks submitted by the cloud, so that service buyers can use computing resources without increasing the cost of purchasing and maintaining resources. One of the key problems to be solved in the implementation of such a platform is how to schedule resources effectively. Ant colony algorithm is essentially a swarm intelligence search algorithm, which searches for the optimal path through positive feedback and distributed cooperation. Because each ant searches for food independently, and there is no internal information correlation and dependence, a large number of ants exchange information and communicate with each other through pheromones. This parallel and independent search capability not only increases the reliability of the algorithm and reduces the time for the whole system to complete the search, but also has a strong global search capability. Ant colony algorithm has good adaptability for solving combinatorial optimization problems. The mapping between resources and tasks in cloud environment is essentially a combinatorial optimization problem, so this paper uses ant colony algorithm to discuss the resource scheduling problem of cloud computing.