Budget-Aware e-Learning Systems on Cloud Computing Environments: A Genetic Approach

Abstract

Cloud computing can be considered as one of the most promising environments for e-learning systems. Unfortunately, services provided by the cloud are not always free. Hence, the primary goal of this paper is to select learning resources that best fit learner's budget dedicated for the e-learning class. In other words, learner gets the best e-learning curriculum that he can afford. The problem is modeled as a constrained optimization problem and a proposed solution based on genetic algorithms is introduced. Simulation study shows that the proposed solution provides results identical to optimal solutions in most cases.