Abstract
In the last few years, the container-based Cloud computing paradigm has gradually emerged as a flexible approach for energy efficient resource utilization. Cloud providers aim to optimize resource utilization and energy consumption while performing container consolidation, which involves virtual machine (VM) selection and VM placement. Most of the related works focus either on VM selection or VM placement, neglecting the interplay of the two optimization problems. This paper proposes a Two-stage Multi-type Particle Swarm Optimization approach, named TMPSO, to energy-aware container consolidation in Cloud data centers. Our experimental evaluation based on benchmark datasets demonstrates that our proposed algorithm shows further energy saving comparing with some existing approaches.
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