Mallesham Goli

Self-Adaptive Machine Learning Architectures for Intelligent Workflow Optimization in Cloud Environments

To avoid the overhead of monitoring particularly when resources are idle, a different approach is employed here, focusing on the reference behavior of a process, coupled to a feedback loop that triggers adjustment of the internal behavior.