rcantini/IIWM

Intelligent In-memory Workflow Manager is a machine learning solution for optimizing the in-memory execution of data-intensive workflows on parallel machines. This repository offers the dataset used to train the performance estimation model employed by IIWM to guide task scheduling, which relies on a heuristic solution to the bin packing problem.