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Use Case-Informed Framework for Utility Cloud Migration

Research output: Book/ReportTechnical Report

Abstract

This white paper presents a comprehensive methodology for assessing utilities’ cloud postures and frameworks. It aims to produce a roadmap and strategy for a cloud-enabled grid future, providing guidance for integrators, asset owners, and operators. Instead of offering a yes or no answer for cloud implementation, this framework offers strategic guidance on responsibly preparing for and deploying cloud solutions. This paper delves into cloud-service models pertinent to the electric sector, dissecting the shared responsibility model and elucidating what on-premise infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) entail. A pivotal consideration within the context of the shared responsibility model is the allocation of responsibility for foundational security aspects—a decision that will be informed by a comprehensive risk assessment. The ensuing discussion will present a checklist of certifications necessary for a secure cloud transition, equipping utilities with the knowledge to navigate this digital transformation with confidence and with a strategic roadmap. Furthermore, the paper outlines gaps in understanding the U.S. government’s role in shaping technology development and responsible use. Its purpose is to aid decision-making by offering support for risk-informed solutions that benefit those managing assets and operating in the cloud environment. The primary objective is to enhance the resilience and future readiness of a decarbonized electric grid, with cloud solutions as one viable option. The paper synthesizes information on current and future grid architectures and applications, considering both conservative and progressive energy transitions, along with scalable and distributed computing considerations.
Original languageEnglish
Place of PublicationUnited States
DOIs
StatePublished - Jan 1 2024

Keywords

  • 24 POWER TRANSMISSION AND DISTRIBUTION
  • 42 ENGINEERING
  • 97 MATHEMATICS AND COMPUTING
  • CIE
  • Cirrus
  • Cloud
  • Cloud Integration Assessment
  • Cloud Security
  • Cyber-informed Engineering
  • Engineering
  • Risk Assessment

INL Publication Number

  • INL/RPT-24-78249
  • 176795

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