与绿色云计算和人工智能的相关文献

"Green Cloud Computing: A Review of Research Challenges and Opportunities" by Ali Kanso and Mohamad Khalil. This paper discusses the environmental impact of cloud computing and presents various solutions to reduce energy consumption and carbon footprint.

"Green Cloud Computing with Artificial Intelligence: A Review" by S. Manikandan and M. Karthikeyan. This paper presents a review of various AI techniques that can be used to optimize energy consumption in cloud computing and reduce carbon emissions.

"Green Cloud Computing: Balancing Energy Efficiency and Quality of Service" by Jie Liu and Wei Li. This paper proposes a framework for balancing energy efficiency and quality of service in cloud computing, taking into account both the environmental impact and user satisfaction.

"Artificial Intelligence for Energy-Efficient Cloud Computing" by Mauro Conti and Daniele Lain. This paper presents an overview of AI techniques that can be used to optimize energy consumption in cloud computing and reduce carbon emissions, including machine learning, deep learning, and reinforcement learning.

"Towards Green Cloud Computing: Energy-Aware Task Scheduling in Virtualized Data Centers" by Xiaohui Wei and Junzhou Luo. This paper proposes an energy-aware task scheduling algorithm for virtualized data centers, which reduces energy consumption and carbon emissions while maintaining performance quality.

"Green Computing with Artificial Intelligence: A Review" by E. P. Anandapadmanaban and A. S. Muthukumaravel. This paper presents a review of various AI techniques that can be used to optimize energy consumption and reduce carbon emissions in various computing environments, including cloud computing, data centers, and mobile devices