TY - GEN

T1 - Event-driven, collaborative and adaptive scientific workflows on the grid

AU - Bardino, Jonas

AU - Rehr, Martin

AU - Vinter, Brian

PY - 2019

Y1 - 2019

N2 - Exponential growth in scientific data set sizes and corresponding computation needs, forces scientists and engineers to structure and automate experiments in workflows running on distributed architectures. In eScience the flows typically evolve gradually from intensive experimentation and often involve multiple participants from separate organisations. Thus, there's a need for infrastructures supporting such highly dynamic and collaborative workflows. Despite much attention to scientific workflows in recent years, most existing systems tend to be single-user top-down approaches, which are inherently best suited for static and fixed flows with all steps known up front. In this work we introduce a simple general rule-based model for event-driven workflows based on data change triggers. A bottom-up workflow approach, that enables a high level of automation and allows dynamically changing flows - with or without manual user interaction. It is realised with an implementation on top of the Minimum intrusion Grid (MiG), which helps de-couple workflow design from underlying execution concerns, and provides built-in collaboration and sharing across organisation boundaries. However, the model itself applies to much wider range of scenarios, and other such possible implementation methods are briefly outlined.

AB - Exponential growth in scientific data set sizes and corresponding computation needs, forces scientists and engineers to structure and automate experiments in workflows running on distributed architectures. In eScience the flows typically evolve gradually from intensive experimentation and often involve multiple participants from separate organisations. Thus, there's a need for infrastructures supporting such highly dynamic and collaborative workflows. Despite much attention to scientific workflows in recent years, most existing systems tend to be single-user top-down approaches, which are inherently best suited for static and fixed flows with all steps known up front. In this work we introduce a simple general rule-based model for event-driven workflows based on data change triggers. A bottom-up workflow approach, that enables a high level of automation and allows dynamically changing flows - with or without manual user interaction. It is realised with an implementation on top of the Minimum intrusion Grid (MiG), which helps de-couple workflow design from underlying execution concerns, and provides built-in collaboration and sharing across organisation boundaries. However, the model itself applies to much wider range of scenarios, and other such possible implementation methods are briefly outlined.

KW - Adaptive

KW - Collaborative

KW - EScience

KW - Event-driven

KW - Grid

KW - Workflows

U2 - 10.3233/978-1-61499-949-2-61

DO - 10.3233/978-1-61499-949-2-61

M3 - Article in proceedings

AN - SCOPUS:85082401950

T3 - Concurrent Systems Engineering Series

SP - 61

EP - 80

BT - Communicating Process Architectures 2017 and 2018, WoTUG-39 and WoTUG-40 - Proceedings of CPA 2017 (WoTUG-39) and Proceedings of CPA 2018 (WoTUG-40)

A2 - Pedersen, Jan Baekgaard

A2 - Chalmers, Kevin

A2 - Broenink, Jan F.

A2 - Vinter, Brian

A2 - Vella, Kevin

A2 - Welch, Peter H.

A2 - Smith, Marc L.

A2 - Skovhede, Kenneth

PB - IMIA and IOS Press

T2 - 39th WoTUG Conference on Communicating Process Architectures, CPA 2017 and 40th WoTUG Conference on Communicating Process Architectures, CPA 2018

Y2 - 19 August 2018 through 22 August 2018

ER -