High Performance Scientific Computing as a Service in the Cloud

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Seaton, Terryn
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University Honors College Middle Tennessee State University
This thesis explores the process of developing and testing of a containerized Lightweight Directory Access Protocol (LDAP) server using a cloud-based resource model to successfully authenticate users as part of a high-performance computing (HPC) workflow for Middle Tennessee State University (MTSU). In industry, it is commonplace to have an HPC workflow, but not have the orchestration capabilities provided by a cloud computing resource model. As a result, the work done for this thesis serves as a functional prototype to the creation of a containerized LDAP server on a HPC cloud computing cluster. Future work can be done by MTSU to establish a workflow that will package all the development tools students use during their time at the university.
College of Basic and Applied Sciences, Docker, Kubernetes, LDAP, Cloud, Computing