Google Research has published a blog post on optimizing cloud economics through a technique called linear elastic caching. The method is part of the Algorithms & Theory section, indicating a focus on foundational principles.
The core idea is to treat cache capacity not as a fixed allocation but as an elastic resource that can be adjusted based on demand. By applying linear programming, the algorithm finds an optimal trade-off between cache hit rates and the cost of provisioning additional memory.
This approach could help cloud providers and customers reduce expenses while maintaining performance. Since it is a theoretical contribution, it may inspire practical implementations in cloud infrastructure.