Deploying an Application on Unused Resources (AUR) Using Transfer Learning

Abstract

The digital world is growing leaps and bounds as more and more transactions and operations are performed online. Even many activities that re done on a daily basis are done online. As a greater number of operations are done online, there is a high demand for the resources to perform computations. Many times, the resources are left idle, which brings the under-utilization problem. The main of this paper is to gather the resources that are donated by private organizations and use it for the computations. To enhance the performance of this resource pooling and allocation, the paper uses the technique of Transfer learning. The paper also suggests certain incentives to the organizations that contribute their resources. The proposed model AUR is said to provide benefits when compared to other methods.