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Chevalier, Scott

Publications and source records attributed to Chevalier, Scott.

Purdue University Application Deep Dive

In May 2019, staff members from the Engagement and Performance Operations Center (EPOC) met with researchers at Purdue University for the purpose of a campus-wide Application Deep Dive. The goal of this meeting was to help characterize the requirements for two research labs on campus, and to enable cyberinfrastructure support staff to better understand the needs of the researchers they support. Material for this report includes both written documentation from the 2nd Annual Symposium for Research Data Technology at Purdue University, but also a writeup of the discussion that took place in person on May 31st, 2019. The Case Studies highlighted the ongoing challenges that Purdue University has in supporting aspects of the research community that are relatively new to the available technology support structures.

99 GENERAL AND MISCELLANEOUS↗

Great Plains Network - Kansas State University Agronomy Application Deep Dive

In May 2019, staff members from the Engagement and Performance Operations Center (EPOC) and members of the Great Plains Network (GPN) attending their Annual Meeting meeting met with researchers at Kansas State University (KSU) for the purpose of an Application Deep Dive training session. The goal of this training session was to help characterize the requirements for an agronomy application, to enable cyberinfrastructure support staff to better understand the needs of the researchers they support, and to offer training to GPN members to be able to conduct these on their own. Material for this event includes both the written documentation from the agronomy application at KSU, details about the infrastructure setup at KSU, and also a writeup of the discussion that took place in person on May 20, 2019. EPOC, GPN, and KSU recorded a set of action items for this use case, continuing the ongoing support and collaboration. These are a reflection of the case study report, and in person discussion.

99 GENERAL AND MISCELLANEOUS↗

Testing the Feasibility of a Low-Cost Network Performance Measurement Infrastructure

Todays science collaborations depend on reliable, high performance networks, but monitoring the end-to-end performance of a network can be costly and difficult. The most accurate approaches involve using measurement equipment in many locations, which can be both expensive and difficult to manage due to immobile or complicated assets. The perfSONAR framework facilitates network measurement making management of the tests more reasonable. Traditional deployments have used over-provisioned servers, which can be expensive to deploy and maintain. As scientific network uses proliferate, there is a desire to instrument more facets of a network to better understand trends. This work explores low cost alternatives to assist with network measurement. Benefits include the ability to deploy more resources quickly, and reduced capital and operating expenditures. Finally, we present candidate platforms and a testing scenario that evaluated the relative merits of four types of small form factor equipment to deliver accurate performance measurements.

97 MATHEMATICS AND COMPUTING↗