Energy-efficient cloud systems: Virtual machine consolidation with -robustness optimization
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Updated: May 21, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
Published on: December 13, 2016
Xinming Han1, Jianxiao Wang2, Jiaxi Wu3
1Department of Industrial Engineering and Management, College of Engineering, Peking University, Beijing 100871, China.
Abstract:
This study addresses the challenge of virtual machine (VM) placement in cloud computing to improve resource utilization and energy efficiency. We propose a mixed integer linear programming (MILP) model incorporating -robustness theory to handle uncertainties in VM usage, optimizing both performance and energy consumption. A heuristic algorithm is developed for large-scale VM allocation. Experiments with Huawei Cloud data demonstrate significant improvements in resource utilization and energy efficiency.
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