Cooperative Processes for Scientific Workflows

TL;DR

This paper introduces 'Bonita', a flexible cooperative workflow system designed to manage data-intensive scientific applications by integrating cooperative processes and optimizing data exchange and performance in dynamic environments.

Contribution

It presents a novel cooperative workflow system, Bonita, with an approach to data integration and performance enhancement tailored for data-intensive scientific workflows.

Findings

Bonita enables flexible cooperation among processes.

The data exchange approach improves performance.

The system adapts to dynamic environments.

Abstract

The work described in this paper is a contribution to the problems of managing in data-intensive scientific applications. First, we discuss scientific workflows and motivate there use in scientific applications. Then, we introduce the concept of cooperative processes and describe their interactions and uses in a flexible cooperative workflow system called \textit{Bonita}. Finally, we propose an approach to integrate and synthesize the data exchanged by the mapping of data-intensive science into Bonita, using a binary approach, and illustrate the endeavors done to enhance the performance computations within a dynamic environment.