Science Gateways in the Big Data Era
Dr Sandra Gesing
University of Queensland: Time: 9.00 - 10.00am Seminar Room 505A/B, Axon Building (#47), St Lucia Campus. Enquiries: Fran Moore (Research Computing Centre), firstname.lastname@example.org
Monash University: Time: 10.00 - 11.00am Seminar Room G12A, Building 26, Clayton Campus. Enquiries: Caitlin Slattery (Faculty of IT)
In general, science gateways are defined as intuitive graphical user interfaces offering a single point of entry to distributed job, workflow and/or data management across organisational boundaries.
The overall goal is to increase the usability of applications and provide reproducibility especially for researchers who are not IT specialists.
Data sources in labs like Next-Gen Sequencers (NGS) and telescopes such as the Square Kilometre Array (SKA), which create data rates in exa-scale size, are challenges for efficient data management in science gateways.
Novel approaches are needed to address those challenges while using web-based technologies and agile web frameworks, which allow for supporting developers in efficiently creating web-based science gateways.
The talk will give an overview on complete science gateway frameworks as well as APIs and their features. It will suggest measurements for developers deciding which technology is suitable for a community under consideration of the community's preferred tools, methods and available data.
Dr Sandra Gesing is a research assistant professor at the Department of Computer Science and Engineering, and a computational scientist at the Center for Research Computing, at the University of Notre Dame, Indiana, US.
Her research interests include science gateways, bioinformatic applications, grid and cloud computing, parallel programming, and GPU programming. In this context, she also works on disease modeling and analysis frameworks for modeling and simulations (e.g., Projects VectorBase and VecNet).