Research on private desktop cloud platform based on random scheduling algorithm and load balancing scheduling algorithm Online publication date: Wed, 19-Jul-2023
by Dunkai Zhou; Jinsong Zhou
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 25, No. 1, 2023
Abstract: The research starts from the private desktop cloud, and realises the dynamic reception of computing services, the query of computing status and the task stealing based on the real-time load status by improving and optimising the scheduling module. The advantages of its performance are analysed by comparing the experimental results with the actual application results. The results show that the improved scheduling algorithm performs better than other algorithms under two different processor parallel conditions of 10 and 40, and achieves small floating differences in CPU utilisation, memory utilisation, sending traffic and receiving traffic in practical application, which can better balance tasks and perform calculations more efficiently. It can be seen that the improved scheduling algorithm has better performance, can meet the design requirements of the overall framework of the private cloud desktop and has the advantages of scientific scheduling, efficient scheduling, and load balancing in task scheduling.
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