Optimizing Energy Consumption in Cloud Data Centers: A Survey of VM Allocation Techniques
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Abstract
The rapid expansion of cloud computing has resulted in a substantial increase in energy consumption, presenting a significant challenge for cloud service providers. To address this critical issue, researchers have proposed a wide array of innovative virtual machine allocation techniques aimed at optimizing energy usage in cloud data centers. This comprehensive survey examines these energy-efficient VM allocation approaches in detail, discussing their key methodologies, advantages, and limitations. By thoroughly investigating these techniques, this study aims to inform and guide future research and development efforts to drive more sustainable and efficient cloud computing infrastructures that can adapt to the growing demands of the cloud ecosystem. Specifically, this survey will delve deeper into the various energy-efficient VM allocation strategies, including dynamic VM consolidation, thermal-aware scheduling, and the integration of renewable energy sources. These techniques hold the potential to significantly reduce the energy demands of cloud computing and pave the way for more environmental friendly cloud infrastructures that can keep pace with the expanding needs of the cloud ecosystem.