11 research outputs found
2011 Report of NSF Workshop Series on Scientific Software Security Innovation Institute
Over the period of 2010-2011, a series of two workshops were held in response to NSF Dear Colleague Letter NSF 10-050 calling for exploratory workshops to consider requirements for Scientific Software Innovation Institutes (S2I2s). The specific topic of the workshop series was the potential benefits of a security-focused software institute that would serve the entire NSF research and development community.
The first workshop was held on August 6th, 2010 in Arlington, VA and represented an initial exploration of the topic. The second workshop was held on October 26th, 2011 in Chicago, IL and its goals were to 1) Extend our understanding of relevant needs of MREFC and large NSF Projects, 2) refine outcome from first workshop with broader community input, and 3) vet concepts for a trusted cyberinfrastructure institute. Towards those goals, the participants other 2011workshop included greater representation from MREFC and large NSF projects, and, for the most part, did not overlap with the participants from the 2010 workshop.
A highlight of the second workshop was, at the invitation of the organizers, a presentation by Scott Koranda of the LIGO project on the history of LIGO’s identity management activities and how those could have benefited from a security institute. A key analysis he presented is that, by his estimation, LIGO could have saved 2 senior FTE-years of effort by following suitable expert guidance had it existed.
The overarching finding from the workshops is that security is a critical crosscutting issue for the NSF software infrastructure and recommended a security focused activity to address this issue broadly, for example a security software institute (S2I2) under the SI2 program. Additionally, the 2010 workshop participants agreed to 15 key additional findings, which the 2011 workshop confirmed, with some refinement as discussed in this report.NSF Grant # 1043843Ope
Computing in High Energy and Nuclear Physics (CHEP) 2012
Besides the big LHC experiments a number of mid-size experiments is coming online which need to define new computing models to meet the demands on processing and storage requirements of those experiments. We present the hybrid computing model of IceCube which leverages GRID models with a more flexible direct user model as an example of a possible solution. In IceCube a central datacenter at UW-Madison servers as Tier-0 with a single Tier-1 datacenter at DESY Zeuthen. We describe the setup of the IceCube computing infrastructure and report on our experience in successfully provisioning the IceCube computing needs
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Validation of AIRS v4 ozone profiles in the UTLS using ozonesondes from Lauder, NZ and Boulder, USA
Ozonesonde observations from Lauder (45.0°S, 169.7°E) and Boulder (39.9°N, 105.3°W) are used to examine the quality of the Atmospheric Infrared Sounder (AIRS) v4 vertical ozone profile product in the upper troposphere lower stratosphere (UTLS). At lower altitudes (∼700–200 hPa pressure range), AIRS ozone mixing ratios are larger than ozonesonde measurements, and at higher altitudes (∼100–30 hPa pressure range), AIRS ozone mixing ratios are smaller. Compared to the ozonesondes, AIRS retrieval results at Lauder have a median bias of 80% in the region 700–200 hPa, and 0 to −20% in the region 100–30 hPa. For Boulder these values are 40% and 0 to 5%, respectively. Using a tropopause adjusted vertical coordinate system, Lauder has median biases of +90 to +120% in the troposphere and 0 to +25% in the stratosphere whereas Boulder shows median biases of +45 to +70% in the troposphere and 0 to +35% in the stratosphere. Despite the bias, AIRS retrieval in the UTLS region shows a statistically significant positive correlation with the ozonesonde data, indicating that while the absolute values have a large uncertainty, the retrieval captures the variability of ozone in the UTLS region. Hence AIRS ozone is suitable for studies where the change in ozone is important rather than the absolute ozone mixing ratio. Examinations of the training data set show that the retrieval biases are likely influenced by the deficiency of the training data to represent ozone distribution during the regression step of the retrieval. Furthermore the physical retrieval adds little additional information to the final result
2019 Cybersecurity Research Transition to Practice Workshop Slides
The Cybersecurity Research Transition to Practice Workshop, held on June 19th, 2019 at the Aon Center, Chicago, IllinoisNSF #1547272Ope
2019 Cybersecurity Research Transition to Practice Workshop Slides
The Cybersecurity Research Transition to Practice Workshop, held on June 19th, 2019 at the Aon Center, Chicago, IllinoisNSF #1547272Ope