Designing for Recommending Intermediate States in A Scientific Workflow Management System
Debasish Chakroborti, Banani Roy, Sristy Sumana Nath

TL;DR
This paper introduces GUI-RISPTS, a novel GUI-based approach integrated into SciWorCS to recommend intermediate data states, aiming to improve workflow efficiency and user experience in scientific workflow management systems.
Contribution
It presents a new GUI-based technique for managing and recommending intermediate data states in SWfMS, with integration and evaluation in SciWorCS.
Findings
GUI-RISPTS reduces computational time for certain modules.
User evaluation shows improved workflow management experience.
Overhead in storage and efficiency is acceptable.
Abstract
To process a large amount of data sequentially and systematically, proper management of workflow components (i.e., modules, data, configurations, associations among ports and links) in a Scientific Workflow Management System (SWfMS) is inevitable. Managing data with provenance in a SWfMS to support reusability of workflows, modules, and data is not a simple task. Handling such components is even more burdensome for frequently assembled and executed complex workflows for investigating large datasets with different technologies (i.e., various learning algorithms or models). However, a great many studies propose various techniques and technologies for managing and recommending services in a SWfMS, but only a very few studies consider the management of data in a SWfMS for efficient storing and facilitating workflow executions. Furthermore, there is no study to inquire about the…
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