Title: Research on load balancing optimisation of cloud disk application storage system for cloud teaching

Authors: Qi Xu

Addresses: School of Computer Engineering, Guangzhou City University of Technology, Guangzhou, Guangdong, China

Abstract: The traffic load of cloud disk application storage system increases gradually, which reduces the effect of resource scheduling. Therefore, a traffic load optimisation strategy of cloud disk application storage system based on WPM-LPT-LSTM is proposed. Firstly, greedy algorithm based on Loosely-linked Proof Tree (LPT) idea is adopted. Then, Weighted Partial Migration (WPM) algorithm is introduced. Finally, Long Short-Term Memory network (LSTM) is added in WPM-LPT algorithm. Moreover, the proposed strategy uses WPM-LPT algorithm to deal with data segment arrangement and traffic difference, and utilises LSTM network to predict data popularity. Experimental results reveal that average Jain index of this policy has always remained at about 12.9%, and its average end-to-end latency is only 4.8 ms. Therefore, the proposed policy can realise the traffic load balancing of the system.

Keywords: cloud disk application; storage system; load balancing; greedy algorithm; weighted partial migration algorithm.

DOI: 10.1504/IJWMC.2026.153165

International Journal of Wireless and Mobile Computing, 2026 Vol.30 No.3, pp.266 - 276

Received: 27 Aug 2024
Accepted: 10 Mar 2025
Published online: 25 Apr 2026 *

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