Abstract
The toxic chemical gas leakage is a common safety accident in petrochemical enterprises. Once the leakage occurs in the process of storage and transportation, it will cause heavy losses and serious consequences. Therefore, it is of great significance to study the chemical gas leakage and diffusion in the plant. With the rapid development of internet technology, cloud computing is being more and more widely concerned and applied. Due to the dynamic and heterogeneous nature of service resources, developing appropriate resource allocation strategy according to the actual characteristics of cloud computing is the urgent problem to solve. In this paper, we propose a hybrid resource allocation algorithm based on ant colony algorithm and QoS algorithm. Firstly, we introduce the principle of ant colony algorithm and QoS algorithm. Secondly, an improved hybrid algorithm based on ant colony algorithm and QoS algorithm is proposed. Through the similarity analysis of the ant colony algorithm and the QoS algorithm, we can extract the service resources with high similarity. In the end, we make the simulation experiments on the three algorithms under the same conditions. The simulation results show that the proposed algorithm is superior to the traditional ant colony algorithm and the QoS algorithm in terms of performance and quality of service. We believe that it can be better applied to cloud computing environment resource scheduling under large scale tasks.
