Fuzzy Logic and ANN in an Artificial Intelligent Cloud: A Comparative Study

Abstract

Artificial intelligence has a remarkable effect in every field. Various tools of artificial intelligence have proved themselves in different sectors. Whether it is the banking sector, health industry, or any other sector, it is. One such sector is cloud computing. Cloud computing is Internet-enabled technology and has proved to be a boon in information technology. The aim of this research is to study the two tools of AI in the field of cloud computing. In this paper, we are targeting fuzzy logic and ANN as a tool. A comparative investigation has been made by applying these tools in cloud computing-based resource scheduling. Fuzzy logic works very well in cloud computing because it handles uncertainties efficiently. ANN, on the other hand, provides a trained expert machine for predicting future behavior. After comparing the results in the case of both tools, we get that fuzzy logic outperforms artificial neural networks in the field of resource scheduling. This research is very helpful for researchers researching scheduling cloud-based jobs by setting up their priorities based on chosen attributes.