Developing Computation Resources and Data Center Alternatives to Support Trac-Monterey Modeling and Simulation
Abstract
This capstone project at TRAC-MTRY focuses on developing efficient post-processing and data storage solutions for combat simulations, addressing challenges in data management and access. Employing a systems engineering approach, the study explores a hybrid system combining on-premise high-performance computing (HPC) and cloud-based solutions, aiming for optimal scalability, reliability, and security.Alternatives generated through General Morphological Analysis (GMA) include on-premises HPC, cloud-based solutions, hybrid models, and edge computing. The project features a detailed functional decomposition,examining sub-functions like data preconditioning, compression, storage, verification, and retrieval. Evaluation criteria encompass scalability, accessibility, availability, cost, and security, guiding the assessment of each option's feasibility in alignment with TRAC-MTRY's objectives. Findings indicate that while each alternative has merits, trade-offs exist in cost-effectiveness, scalability, and integration ease. The project offers insights into system requirements and viable solutions. Future research recommendations involve process accuracy analysis and further evaluation of identified alternatives. There commended solution is a cloud-based approach, considering stakeholder constraints. Potential cloud options include Microsoft Azure, Amazon Web Services, and the Army Research Laboratory High-Performance Computing Center, all affiliated with the Department of Defense.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 2023
- Accession Number
- AD1224867
Entities
People
- Alan Q. Johnson
- Luis D. Mejias
- Phillip B. Jr Amey
- Terence K. Ngoh
Organizations
- Naval Postgraduate School