Cloud Resource Allocation Recommendation Based on Machine Learning

Resource allocation is a key topic in distributed cloud systems, especially as more and more cloud products and service offerings introduce decision complexity. It’s a common challenge for cloud users to predict usage and budget accordingly. This paper studies the industry practices on smart resource allocation in the cloud and proposes a novel approach using data-driven combination of LSTM and K-means for cloud resource allocation.