PROJECT TITLE :

Scientific Workflow Mining in Clouds - 2017

ABSTRACT:

Computing clouds became the platform of selection for the deployment and execution of scientific workflows. Due to the uncertainty and unpredictability of scientific exploration, the execution set up for a scientific workflow might vary from the definition. It is so of great significance to be in a position to discover actual workflows from execution histories (event logs) to breed experimental results and to ascertain provenance. However, most existing method mining techniques specialize in discovering management flow-oriented business processes in a very centralized surroundings, and so, they're principally inapplicable to the discovery of data flow-oriented, unstructured scientific workflows in distributed cloud environments. During this paper, we have a tendency to gift Scientific Workflow Mining as a Service ( ???????????? ) to support both intra-cloud and inter-cloud scientific workflow mining. The approach is implemented as a ???????? plug-in and is evaluated on event logs derived from real-world scientific workflows. Through experimental results, we demonstrate the effectiveness and potency of our approach.