1. Data-Intensive Computing at NSF Data-Intensive Computing Symposium, Yahoo!, Sunnyvale, CA March 26, 2008 Jeannette M. Wing Assistant Director Computer and Information Science and Engineering Directorate Thanks to the NSF team: Dan Atkins, Debbie Crawford, Haym Hirsh, Jim French, Stephen Meacham, …

2. 2Data-Intensive ComputingJeannette M. Wing Drivers of Computing Science Technology Society

3. 3Data-Intensive ComputingJeannette M. Wing Data-Intensive Computing Sample Research Questions Science –What are the fundamental capabilities and limitations of this paradigm? –What new programming abstractions (including models, languages, algorithms) can accentuate these fundamental capabilities? –What are meaningful metrics of performance and QoS? Engineering –How can we automatically manage the hardware and software of these systems at scale? –How can we provide security and privacy for simultaneous mutually untrusted users, for both processing and data? –How can we reduce these systems’ power consumption? Users –What (new) applications can best exploit this computing paradigm?

4. 4Data-Intensive ComputingJeannette M. Wing Data-Intensive Computing Challenge (How) can this new computing paradigm be used to solve problems unsolvable any other way, to solve old problems in simpler or more efficient ways, or to enable new applications? Search is the killer app. Is there more to data-intensive computing?

5. 5Data-Intensive ComputingJeannette M. Wing NSF’s Interest in Data-Intensive Computing Broad interest, (potentially) long-term CISE –Cross-directorate: CCF, CNS, IIS –Short-term: CluE (more later) –Longer-term: Look for cross-cutting theme in FY09 solicitation NSF –Potentially cross-foundational, e.g., via Cyber-enabled Discovery and Innovation (CDI); CISE, OCI, MPS, ENG, … –Why? Scientists are drowning in data! Aside: Opportunity for CISE PIs to work with other scientists and engineers—they have tons of data.

6. 6Data-Intensive ComputingJeannette M. Wing CISE’s Immediate Goal To provide the broad academic community: Access to large-scale computing cluster Access to massive data sets To support research from applications to the machine To support education for new courses, labwork, projects

7. 7Data-Intensive ComputingJeannette M. Wing Interesting Logistical Issues How do you allocate the resource? –A “rack week” is not a unit of measurement a typical researcher could relate to How do you get the data on/off the resource? –Sending terabytes of data over the net is slow. Tap into expertise in Office of Cyberinfrastructure

8. 8Data-Intensive ComputingJeannette M. Wing CluE: Cluster Exploratory Google+IBM cluster software and services –Same as Academic Computing Cluster provided for six universities (announced last October) Seed program by NSF –$5M will fund SGERs and regular awards –Solicitation about to be released –Jim French (IIS Program Director) Hope: CluE will be a wild success and community interest and demand will be high

9. 9Data-Intensive ComputingJeannette M. Wing Academia-Industry-Government Partnership Win-win-win for all New model for NSF –CISE is breaking new ground at NSF (in many ways) NSF/CISE welcomes –Other corporations to participate in Data-Intensive Computing effort and other efforts in the future –This and other new models of A-I-G partnerships

10. 10Data-Intensive ComputingJeannette M. Wing Thank you!