A Workflow Cloud Management Framework with Process-Oriented Case-Based Reasoning

Workflow execution in the cloud is a novel field for processoriented case-based reasoning (PO-CBR). In contrast to traditional POCBR approaches where the focus is usually on single workflow instances, an entire set of workflow instances is considered that are currently running on cloud resources. While traditional methods such as running a workflow management tool monolithically on cloud resources lead to overand under-provisioning problems, other concepts include a very deep integration, where the options for changing the involved workflow management tools and clouds are very limited. In this work, we present the architecture of WFCF, a connector-based integration framework for workflow management tools and clouds to optimize the resource utilization of cloud resources for workflow by Case-Based Reasoning. Experience reuse contributes to an optimized resource provisioning based on solutions for past resource provisioning problems. The approach is illustrated by a real sample workflow from the music mastering domain.