Open OnDemand

Hudak, David E.; Nicklas, Jeremy; Franz, Eric; McMichael, Brian; Gohar, Basil M

doi:10.1145/2949550.2949644

Cited by 15 publications

(4 citation statements)

References 6 publications

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“…These additional requirements create an accessibility gap for HPC. To help address this gap we have created the Open OnDemand Project (Hudak et al 2016), an open-source software project based on the proven Ohio Supercomputer Center (OSC) OnDemand platform (Hudak et al 2013), to allow HPC centers to provide advanced web and graphical interfaces for their users.…”

Section: Discussionmentioning

confidence: 99%

Open OnDemand: A web-based client portal for HPC centers

Hudak¹,

Johnson²,

Chalker³

et al. 2018

JOSS

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Section: Discussionmentioning

confidence: 99%

Open OnDemand: A web-based client portal for HPC centers

Hudak¹,

Johnson²,

Chalker³

et al. 2018

JOSS

Self Cite

View full text Add to dashboard Cite

“…The team conducted a pilot online workshop in the summer of 2020, using Zoom videoconferencing platform for synchronous instruction, Jupyter for hands-on activities, and Slack (a group-based messaging platform) for communications among team members and learners during and after each workshop. By this time, an Open OnDemand instance [9] has been set up for the newer Wahab cluster, which enabled convenient access to Jupyter environment. Based on the experience and lessons learned from this pilot workshop, we proceeded to convert all the DeapSECURE lesson modules to the online delivery format in the third year.…”

Section: Third-year Development: From In-person To Online Workhopsmentioning

confidence: 99%

DeapSECURE Computational Training for Cybersecurity: Progress Toward Widespread Community Adoption

Purwanto,

Dodge,

Arcaute

et al. 2024

JOCSE

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The Data-Enabled Advanced Computational Training Program for Cybersecurity Research and Education (DeapSECURE) is a nondegree training consisting of six modules covering a broad range of cyberinfrastructure techniques, including high performance computing, big data, machine learning and advanced cryptography, aimed at reducing the gap between current cybersecurity curricula and requirements needed for advanced research and industrial projects. Since 2020, these lesson modules have been updated and retooled to suit fully-online delivery. Hands-on activities were reformatted to accommodate self-paced learning. In this paper, we summarize the four years of the project comparing in-person and online only instruction methods as well as outlining lessons learned. The module content and hands-on materials are being released as open-source educational resources. We also indicate our future direction to scale up and increase adoption of the DeapSECURE training program to benefit cybersecurity research everywhere.

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“…The key points as well as incomplete code snippets from the web-based lesson were incorporated concisely in the notebooks, thereby removing the need to open two browser tabs to follow the instructor. Participants accessed the Jupyter environment on ODU's Wahab HPC cluster via the newly deployed Open OnDemand [9] web-based interface. This proved to alleviate most of the technical difficulties encountered in the past workshop series.…”

Section: Pilot Online Workhopmentioning

confidence: 99%

DeapSECURE Computational Training for Cybersecurity Students: Improvements, Mid-Stage Evaluation, and Lessons Learned

Purwanto¹,

He²,

Ossom³

et al. 2021

JOCSE

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DeapSECURE is a non-degree computational training program that provides a solid high-performance computing (HPC) and big-data foundation for cybersecurity students. DeapSECURE consists of six modules covering a broad spectrum of topics such as HPC platforms, big-data analytics, machine learning, privacy-preserving methods, and parallel programming. In the second year of this program, to improve the learning experience, we implemented a number of changes, such as grouping modules into two broad categories, "bigdata" and "HPC"; creating a single cybersecurity storyline across the modules; and introducing post-workshop (optional) "hackshops". Two major goals of these changes are, firstly, to effectively engage students to maintain high interest and attendance in such a nondegree program, and, secondly, to increase knowledge and skill acquisition. To assess the program, and in particular the changes made in the second year, we evaluated and compared the execution and outcomes of the training in Year 1 and Year 2. The assessment data shows that the implemented changes have partially achieved our goals, while simultaneously providing indications where we can further improve. The development of a fully on-line training mode is planned for the next year, along with a reproducibility pilot study to broaden the subject domain from cybersecurity to other areas, such as computations with sensitive data.

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Open OnDemand

Cited by 15 publications

References 6 publications

Open OnDemand: A web-based client portal for HPC centers

Open OnDemand: A web-based client portal for HPC centers

DeapSECURE Computational Training for Cybersecurity: Progress Toward Widespread Community Adoption

DeapSECURE Computational Training for Cybersecurity Students: Improvements, Mid-Stage Evaluation, and Lessons Learned

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