Cloud Configuration

Cloud configuration research focuses on optimizing the allocation and setup of computing resources across various cloud platforms to minimize cost and maximize performance for diverse applications, including machine learning and medical image processing. Current efforts involve developing benchmarks for evaluating automated configuration generation, often leveraging large language models and search-based optimization algorithms to explore the complex trade-off space between cost and efficiency. These advancements are crucial for improving the scalability, cost-effectiveness, and reliability of cloud-based services across various domains.