Research on Heuristic Deployment and Scheduling Strategy of Cloud Resources Oriented to Cost Optimization
Kaiyi Lei, Jiandu Wang, Yang Yu, Weiyu Chen, Linna Li · 2021
In the context of cloud computing, the cloud service of computing resources has become a trend, but often due to various objective reasons, redundant cloud resources often cause waste of resources, leading to increased enterprise operating costs and reduced resource utilization. In response to this situation, this paper proposes a cost-optimized deployment and scheduling strategy for cloud resources combined with heuristic algorithms. The strategy first selects the initial deployment plan through the FFD algorithm, and then selects the most suitable server type for deployment of virtual machines based on the greedy algorithm for scheduling migration, and finally obtains the optimized cloud resource deployment scheduling method. Experimental results show that this strategy can reasonably plan and operate cloud resources and achieve a significant reduction in enterprise costs.