Exploring Hybrid Architecture for Data Processing/Storage Needs of FDOT

Objective 1: The first step towards moving to a hybrid cloud architecture is to understand the basics of the cloud technology, encompassing operational mechanisms, key characteristics, and diverse service models. The research team will study and document different cloud services, explore mixed storage architectures, data localization per Cloud Procurement and Contractual Elements, Rule 60GG-4.002(6), Florida Administrative Code, and analyze the potential benefits in terms of efficiency, security, and feasibility. The goal is to provide useful insights and knowledge to help Florida Department of Transportation (FDOT) Transportation Systems Management and Operations (TSM&O) choose the best cloud services and storage setups for its needs. With this detailed documentation, FDOT will be better equipped to make informed decisions and use cloud technologies to improve its operations. Objective 2: The second objective is to thoroughly examine and analyze other DOTs’ practices regarding migration to cloud-based services. This will result in valuable insights that can guide FDOT TSM&O’s move to cloud-based services. By closely studying the experiences, best practices, challenges, and lessons learned from these agencies, the research team aims to enhance the efficiency, security, and effectiveness of FDOT TSM&O’s cloud-based initiatives. The primary aim is to provide a comprehensive overview of cloud adoption strategies, service models, deployment scales, security considerations, and associated challenges, ultimately informing and enriching FDOT’s cloud migration endeavor. Objective 3: This objective aims to develop a holistic framework that facilitates the successful migration of applications to cloud-based environments. The informed decision-making in transitioning legacy and new applications to the cloud environment should consider various aspects, including cost analysis for both importing and exporting for each cloud provider, technology compatibility, functionality, latency, recoverability, exit strategies, and security. This objective encompasses the creation of a hybrid cloud migration decision framework tailored to evaluate applications for cloud migration suitability. Furthermore, this involves designing a cloud migration and change management plan, outlining phased processes, from data migration to testing and validation. The training guidelines will empower existing personnel, bridging the knowledge gap while transitioning from legacy platforms to cloud technology and ensuring efficient and effective utilization of the newly adopted cloud-based services.

Language

• English

Project

• Status: Active
• Funding: $235000
• Contract Numbers:

  BED26 977-13

• Sponsor Organizations:

  Florida Department of Transportation

  Research Center
  605 Suwannee Street MS-30
  Tallahassee, FL  United States  32399-0450
• Managing Organizations:

  Florida Department of Transportation

  Research Center
  605 Suwannee Street MS-30
  Tallahassee, FL  United States  32399-0450
• Project Managers:

  Dilmore, Jeremy

• Performing Organizations:

  University of Central Florida, Orlando

  12443 Research Parkway, Suite 207
  Orlando, FL  United States  32826-
• Principal Investigators:

  Agarwal, Shaurya

• Start Date: 20240401
• Expected Completion Date: 20251231
• Actual Completion Date: 0
• USDOT Program: Emerging and Enabling Technologies

Subject/Index Terms

• TRT Terms: Cloud computing; Information processing; Lessons learned; State departments of transportation; System architecture; Transportation system management
• Identifier Terms: Florida Department of Transportation
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Planning and Forecasting; Transportation (General);

Filing Info

• Accession Number: 01920433
• Record Type: Research project
• Source Agency: Florida Department of Transportation
• Contract Numbers: BED26 977-13
• Files: RIP, STATEDOT
• Created Date: Jun 3 2024 2:13PM