RemWoW: Resource Efficient Management of Workloads of Repeated Workflows

The management of workflows in distributed computing environments, such as cloud and edge infrastructures, presents unique challenges due to the dynamic nature of workloads and resource availability. This paper introduces RemWoW, a system designed to efficiently manage repeated workflows by optimizing resource allocation and task scheduling. RemWoW leverages a sophisticated architecture that integrates edge and fog nodes with multi-cloud resources to meet the demands of low-latency workloads. By focusing on workflow allocation and resource provisioning, RemWoW aims to minimize both execution time and resource costs, ensuring that workflows are executed efficiently in response to external events. The system's architecture and its application in managing repeated workflows are demonstrated, highlighting its potential for enhancing workflow management in modern distributed computing environments.