Enhancing the e-learning system based on a novel tasks' classification load-balancing algorithm.

ABSTRACT: In the educational field, the system performance, as well as the stakeholders' satisfaction, are considered a bottleneck in the e-learning system due to the high number of users who are represented in the educational system's stakeholders including instructors and students. On the other hand, successful resource utilization in cloud systems is one of the key factors for increasing system performance which is strongly related to the ability for the optimal load distribution. In this study, a novel load-balancing algorithm is proposed. The proposed algorithm aims to optimize the educational system's performance and, consequently, the users' satisfaction in the educational field represented by the students. The proposed enhancement in the e-learning system has been evaluated by two methods, f

SUBMITTER: Khedr AE 

PROVIDER: S-EPMC8444070 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature