According to HPC Wire, San Diego Supercomputer Center is getting funded by NSF for research on Cloud Computing.
Researchers from the San Diego Supercomputer Center (SDSC) at the University of California, San Diego, have been awarded a two-year, $450,000 grant from the National Science Foundation (NSF) to explore new ways for academic researchers to manage extremely large data sets hosted on massive, Internet-based commercial computer clusters, or what have become known as computing “clouds.”
In this space, I have repeatedly advocated the use of Cloud Computing in academic research. I strongly believe that the advantages brought in by Cloud Computing to academia are enormous and disruptive.
Recently, Amazon jumped in to lure academia to use their Cloud infrastructure by hosting Public Data Sets on Elastic Block Store (EBS) on their EC2 ecosystem. Then there are efforts in the form of Science Clouds, built on top of Open Source toolkit called Nimbus which converts cluster of servers into a Cloud infrastructure. These science clouds helps scientific community experiment with Cloud Computing by running their projects and also to understand how they can tap into Cloud Computing effectively for their research.
This award will help SDSC researchers to understand how they can dynamically provision and manage large scale scientific datasets using Cloud Computing. They will use a distributed computing resource called CluE Cluster along with Hadoop in the study. They will study how they can take a subset of data, from a huge collection hosted on Hadoop, and serve them using dynamically deployed database instances based on the user input or workload or both. They will also try to understand how the CluE cluster can be exposed to users using SOA implementations. The users can then tap this into their workflow or other scientific tools or portals.
They expect this project to bring in the benefits of massive scale computing resources to a large community of academic users. It will be interesting to see how Cloud Computing aids academic research in the years to come.