A balanced allocation method of English MOOC teaching resources based on QoS constraints
by Xiaodong Yuan
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 33, No. 1, 2023

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.

Online publication date: Tue, 20-Dec-2022

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