Machine Learning Approaches for Effective Energy-Efficient Resource Management Strategies in Cloud Services
Abhilasha Chauhan, Suchi Johari · 2024
With the rapid growth of cloud computing services, there has been a corresponding increase in energy consumption and environmental impact. Optimizing energy usage becomes more important for sustainability and cost-effectiveness as data centers expand to meet the rising demand for cloud services. This chapter seeks to provide an overview of several ways for properly managing energy usage in cloud services. The paper first section reviews current issues and highlights the causes of excessive energy usage in cloud data centers. It explores the connection between computer resources, virtualization, and energy consumption, highlightingthe crucial areas where advancements may be achieved. The second segment focuses on energy management measures on the demand side. These strategies optimize resource distribution, load balancing, and task consolidation in order to lower total energy usage while preserving performance and service quality. In this context, techniques such as dynamic resource provisioning, virtual machine migration, and power-aware scheduling are being investigated. The final segment examines supply-side energy management tactics that have an emphasis on infrastructure and data center design changes that are more energy-efficient. The discussion of potential ways to lessen the carbon footprint of cloud services includes advancements in cooling systems, energy-efficient hardware components, and the incorporation of renewable energy sources. In addition, the article explores the relevance of energy-conscious software development practices and their influence on energy use. We investigate software optimization methods, application profiling, and energy-efficient algorithms as vital instruments for enhancing energy utilization. Finally, a thorough assessment of the performance of various energy utilization management systems serves as the paper&s;s conclusion. It emphasizes the significance of a comprehensive strategy that combines both demand-side and supply-side tactics, as well as energy-aware software practices, to achieve substantial reductions in energy use and improve overall cloud service sustainability.