Resource Scheduling in Web Servers in Cloud Computing Using Multiple Artificial Neural Networks

This work presents a solution based on Multiple Artificial Neural Networks for resource scheduling problem in cloud computing. In these computer systems there are still major challenges to achieve a high level of efficiency. One of these challenges is the computational resource scheduling, necessary for an application more efficient of available resources. Thus, with this work it is intentional to show the usage of Artificial Neural Networks to improve the scheduling of such resources in web servers in cloud computing, in order to search an optimization for this process. Experimental results show the usage of Multiple Artificial Neural Networks can obtain, on average, a better response time compared to traditional scheduling algorithms as RoundRobin (22%) and Greedy (8%).