You may find the slide deck and the abstract for the presentation we delivered today at the “Data-Intensive Research: how should we improve our ability to use data” workshop in Edinburgh.
Abstract
This talk will focus a highly scalable data intensive infrastructure being developed at the National Center for Supercomputing Application (NCSA) at the University of Illinois and will introduce current research efforts to tackle the challenges presented by big-data. Research efforts include exploring potential ways of integration between cloud computing concepts—such as Hadoop or Meandre—and traditional HPC technologies and assets. These architecture models contrast significantly, but can be leveraged by building cloud conduits that connect these resources to provide even greater flexibility and scalability on demand. Orchestrating the physical computational environment requires innovative and sophisticated software infrastructure that can transparently take advantage of the functional features and to negotiate the constraints imposed by this diversity of computational resources. Research conducted during the development of the Meandre infrastructure has lead to the production of an agile conductor able to leverage the particular advantages in the physical diversity. It can also be implemented as services and/or in the context of another application benefitting from it reusability, flexibility, and high-scalability. Some example applications and an introduction to the data intensive infrastructure architecture will be presented to provide an overview of the diverse scope of Meandre usages. Finally, a case will be presented showing how software developers and system designers can easily transition to these new paradigms to address the primary data-deluge challenges and to soar to new heights with extreme application scalability using cloud computing concepts.