Title: A balanced allocation method of English MOOC teaching resources based on QoS constraints

Authors: Xiaodong Yuan

Addresses: Department of Foreign Language and International Education, Henan Polytechnic Institute, Nanyang 473000, China

Abstract: In order to overcome the problems of long allocation time and high bandwidth consumption in traditional resource allocation methods, this paper proposes a new balanced allocation method of English MOOC teaching resources based on QoS constraints. With the support of big data and cloud computing technology, MOOC English teaching resources are mined and collected, and the resource balanced allocation model is constructed by using MMPs algorithm. The resource balanced allocation of virtual machine is realised through the selection of QoS constraint parameters, physical resource mapping and QESA resource allocation system. On the basis of experiments, the proposed method has the advantages of balanced resource allocation and execution time.

Keywords: QoS constraints; MOOC resources; MMPS algorithm; QESA system.

DOI: 10.1504/IJCEELL.2023.127851

International Journal of Continuing Engineering Education and Life-Long Learning, 2023 Vol.33 No.1, pp.84 - 98

Received: 08 Jan 2021
Accepted: 22 Mar 2021
Published online: 20 Dec 2022 *