SDMAS is a series of workshops that has been annually held from 2007. The scope of SDMAS workshop is focused on scalability of data management in computing systems in various domains.
Data management has become a key issue in many computing systems. High-performance computing, data visualization, multimedia and data mining systems are examples of application areas where input/output and storage are critical issues for performance. A key challenge in those areas is how to transfer large amounts of data in and out of large-scale systems, like clusters, Grids and more recently in Cloud Computing environments. Another key point is how to transfer large amount of data in a timely manner. The aim of the workshop is to identify, discuss, and share the barriers and workarounds that have been discovered in the storage, input/output and data management fields.
SDMAS is a forum that brings together researchers and practitioners interested in different aspects of data management systems and its applications to industry. The workshop seeks to act as a conduit for the presentation of novel approaches used in data management (from the hardware layer to the higher software layers) as well as their application to research and industry.
As in previous editions, the workshop will be held along with the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA). PDPTA is a premier conference in the parallel and distributed computing arena which offers the opportunity to interact with researchers and practitioners.