Award Abstract # 1339856
Collaborative Research: SI2-SSI: Open Gateway Computing Environments Science Gateways Platform as a Service (OGCE SciGaP)

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: UNIVERSITY OF CALIFORNIA, SAN DIEGO
Initial Amendment Date: August 29, 2013
Latest Amendment Date: August 29, 2013
Award Number: 1339856
Award Instrument: Standard Grant
Program Manager: Bogdan Mihaila
bmihaila@nsf.gov
 (703)292-8235
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: October 1, 2013
End Date: September 30, 2019 (Estimated)
Total Intended Award Amount: $1,742,099.00
Total Awarded Amount to Date: $1,742,099.00
Funds Obligated to Date: FY 2013 = $1,742,099.00
History of Investigator:
  • Mark Miller (Principal Investigator)
    mmiller@sdsc.edu
  • Amitava Majumdar (Co-Principal Investigator)
Recipient Sponsored Research Office: University of California-San Diego
9500 GILMAN DR
LA JOLLA
CA  US  92093-0021
(858)534-4896
Sponsor Congressional District: 50
Primary Place of Performance: University of California-San Diego
9500 Gilman Drive
La Jolla
CA  US  92093-0934
Primary Place of Performance
Congressional District:
50
Unique Entity Identifier (UEI): UYTTZT6G9DT1
Parent UEI:
NSF Program(s): Cross-BIO Activities,
Software Institutes
Primary Program Source: 01001314DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7433, 8009
Program Element Code(s): 727500, 800400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

Science Gateways are virtual environments that dramatically accelerate scientific discovery by enabling scientific communities to utilize distributed computational and data resources (that is, cyberinfrastructure). Successful Science Gateways provide access to sophisticated and powerful resources, while shielding their users from the resources' complexities. Given Science Gateways' demonstrated impact on progress in many scientific fields, it is important to remove barriers to the creation of new gateways and make it easier to sustain them. The Science Gateway Platform (SciGaP) project will create a set of hosted infrastructure services that can be easily adopted by gateway providers to build new gateways based on robust and reliable open source tools. The proposed work will transform the way Science Gateways are constructed by significantly lowering the development overhead for communities requiring access to cyberinfrastructure, and support the efficient utilization of shared resources.

SciGaP will transform access to large scale computing and data resources by reducing development time of new gateways and by accelerating scientific research for communities in need of access to large-scale resources. SciGaP's adherence to open community and open governance principles of the Apache Software Foundation will assure open source software access and open operation of its services. This will give all project stakeholders a voice in the software and will clear the proprietary fog that surrounds cyberinfrastructure services. The benefits of SciGaP services are not restricted to scientific fields, but can be used to accelerate progress in any field of endeavor that is limited by access to computational resources. SciGaP services will be usable by a community of any size, whether it is an individual, a lab group, a department, an institution, or an international community. SciGaP will help train a new generation of cyberinfrastructure developers in open source development, providing these early career developers with the ability to make publicly documented contributions to gateway software and to bridge the gap between academic and non-academic development.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 32)
Brandariz-Nuñez A, Valle-Casuso JC, White TE, Nguyen L, Bhattacharya A, Wang Z, Demeler B, Amie S, Knowlton C, Kim B, Ivanov DN, Diaz-Griffero F. "Contribution of oligomerization to the anti-HIV-1 properties of SAMHD1" Retrovirology , v.12 , 2013 , p.131 10.1186/1742-4690-10-131.
Brookes, Emre H and Anjum, Nadeem and Curtis, Joseph E and Marru, Suresh and Singh, Raminder and Pierce, Marlon "The GenApp framework integrated with Airavata for managed compute resource submissions" Concurrency and Computation: Practice and Experience , v.27 , 2015 , p.4292--430
Brookes, Emre H and Kapoor, Abhishek and Patra, Priyanshu and Marru, Suresh and Singh, Raminder and Pierce, Marlon "GSoC 2015 student contributions to GenApp and Airavata" Concurrency and Computation: Practice and Experience , 2015
Brookes, Emre H., Nadeem Anjum, Joseph E. Curtis, Suresh Marru, Raminder Singh, and Marlon Pierce. ""The GenApp framework integrated with Airavata for managed compute resource submissions."" Concurrency and Computation: Practice and Experience , 2015 http://dx.doi.org/10.1002/cpe.3519
Brookes, E, Perez, J, Cardinali, B, Profumo, A, Vachette, P and Rocco, M. "Fibrinogen species as resolved by HPLC-SAXS data processing within the UltraScan SOlution MOdeler (US SOMO) enhanced SAS module" J. Appl. Cryst. , v.46 , 2013 , p.1823
Christie, M., Bhandar, A., Nakandala, S., Marru, S., Abeysinghe, E., Pamidighantam, S., and Pierce, M. "Using Keycloak for Gateway Authentication and Authorization" test , 2017 10.6084/m9.figshare.5483557.v1
Demeler B., Nguyen TL, Gorbet GE, Schirf V, Brookes EH, Mulvaney P, El-Ballouli AO, Pan J, Bakr OM, Demeler AK, Hernandez Uribe BI, Bhattarai N, and RL Whetten "Characterization of Size, Anisotropy, and Density Heterogeneity of Nanoparticles by Sedimentation Velocity." Anal Chem , v.86 , 2014 , p.7688
Dura-Bernal, S and Neymotin, SA and Kerr, CC and Sivagnanam, S and Majumdar, A and Francis, JT and Lytton, WW "Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis" IBM Journal of Research and Development , v.61 , 2017 , p.6--1 10.1147/JRD.2017.2656758
Gesing, Sandra and Dooley, Rion and Pierce, Marlon and Kr{\"u}ger, Jens and Grunzke, Richard and Herres-Pawlis, Sonja and Hoffmann, Alexander "Gathering requirements for advancing simulations in HPC infrastructures via science gateways" Future Generation Computer Systems , 2017 10.1016/j.future.2017.02.042
Gleeson, Padraig and Cantarelli, Matteo and Marin, Boris and Quintana, Adrian and Earnshaw, Matt and Piasini, Eugenio and Birgiolas, Justas and Cannon, Robert C and Cayco-Gajic, N Alex and Crook, Sharon and others "Open Source Brain: a collaborative resource for visualizing, analyzing, simulating and developing standardized models of neurons and circuits" bioRxiv , 2018 , p.229484 10.1101/229484
Gorbet, Gary E and Mohapatra, Subhashree and Demeler, Borries "Multi-speed sedimentation velocity implementation in UltraScan-III" European Biophysics Journal , 2018 , p.1--11 10.1007/s00249-018-1297-z
(Showing: 1 - 10 of 32)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The practice of modern science absolutely depends upon access to digital resources such as supercomputers and large data repositories. Accordingly, scientists need easy access to such resources, independent of their location. In many fields, routine analyses require computational resources that are not available to researchers at their home institution, or specific datasets that were created within the community of practice, or data that exist in national or international resources outside of their home institution. Individual communities have responded to the need for access to digital resources by creating Science Gateways, which are on-line resources that make access to needed resources easy and intuitive. The problem is, creating individual gateways “from scratch” is costly and requires a significant amount of time and effort.

This project created a set of services designed to make gateway creation simple and fast by providing an infrastructure that all Science Gateways require. The project, Science Gateway Platform as a service (SciGaP), created a set of online services and a simple, customizable interface that allows any community to create a new Science Gateway with a minimum of effort. New Science Gateways can use SciGaP services to accomplish the key functions that all gateways require, such as managing users, submitting jobs to supercomputers, saving user data, and sharing data with others.

Intellectual merit:

The intellectual merit of the SciGaP project lies in its ability to accelerate discovery across all fields of scientific research.  At present, SciGaP services support 30 new gateways representing more than 15,000 individual scientists. These scientists have been able to access over 42 million core hours of compute time from 35 different computing resources (including both campus and XSEDE resources) using SciGaP services. The SciGaP project also supported investigators in acquiring 12 new research grants totaling over $10M.  Gateways supported by the SciGaP award project have support more than 1100 scientific publications in 2019.

Broader impacts:

The project provided training opportunities for more than 70 student interns, funded through this NSF award and through the Google Summer of Code. The award led to the creation of a Science Gateway Architectures course at Indiana University to provide a pipeline of trained students for the project.

The general purpose software and infrastructure developed in the SciGaP project will provide an operational system relevant for new science gateways in other scientific domains for the foreseeable future. We believe that the acceleration of the discovery process across a wide variety of scientific fields will provide broad societal benefits, for example improved workforce development, improved policy decisions, and better responses to emerging disease outbreaks.


Last Modified: 12/30/2019
Modified by: Mark A Miller

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