AMGA Distributed Metadata Service - Webinar

28.10.2013

Dr. Soonwook Hwang delivered a presentation on the AMGA Distributed Metadata Service.
As part of the EMI products, AMGA (ARDA Metadata Catalogue Project) (ARDA - A Roadmap for Distributed Analysis) is currently one of the most popular and widely used metadata catalogue software applications in the grid community. It has been made available with the latest AMGA 2.4.0 release, providing a mechanism for metadata description, discovery and manipulation to efficiently locate large amounts of data typically created in the large-scale experiments (e.g., to locate some relevant files out of millions of files distributed around the globe as is the common case with the LHC experiment). AMGA was, in the first place, designed and implemented to have in mind targeting the performance needs of the High Energy Physics (HEP) community and the strict security requirements of the biomedical communities. 






AMGA has been used as a metadata service in many applications from different user communities including the gLibrary (Digital Asset Management System) service developed by INFN, the DECIDE (Diagnostic Enhancement of Confidence by an International Distributed Environment) developed by COMETA, the GAP (Grid Application Platform) developed by ASGC and SDSAS (Seismic Data Server Application Service) Developed by GRNET. AMGA is currently adopted as a metadata service for the data handling and analysis for the Belle II experiment in KEK. 

This AMGA webinar gave an overview of the AMGA metadata service and best practices for some real applications, covering the following:
- History, background and motivation
- Basic concepts, and architectural and implementation details 
- Distributed/Federated metadata management 
- The use of the AMGA client tools to access the AMGA service
- Some use cases in real scientific applications

Dr. Soonwook Hwang is a team leader in Korea Institute of Science and Technology Information (KISTI), leading the research and development of value-added technologies and services mainly based on grid and cloud technologies for the realization of e-Science paradigm in many areas ranging from high energy physics to medical physics and life science. He has been responsible for the development and evolution of AMGA in the EMI project from 2010 to 2013 and is now responsible for the deployment of AMGA for the Belle II experiment at KEK in Japan. Dr Hwang received his BS and MS degree from Seoul National University in Korea and got his PhD in computer science from the University of Southern California.