"Cloud One Migration Schedule Drivers and Schedule Growth" by Ryan J. Jansen

Date of Award

3-2024

Document Type

Thesis

Degree Name

Master of Science in Cost Analysis

Department

Department of Systems Engineering and Management

First Advisor

Brandon M. Lucas, PhD

Abstract

Cloud One, chartered in 2017 under the guidance of Air Force Life Cycle Management Center (AFLCMC) leadership, continues to serve as the USAF’s leading cloud services and hosting platform by providing secure computing environments, application migration assistance, and data management. Prior research has yielded qualitative insights regarding Cloud One’s personnel requirements, application of technical performance, requirements fulfillment, security risks, and various other cost metrics, but schedule improvement recommendations based on the quantitative analysis of migration schedule data has yet to be provided. This research identifies trends within migration sprint schedules and completed schedule data for Cloud One’s completed application migrations. Goals include identifying schedule deviation and schedule duration trends while attempting to account for said trends using application specific attributes. Additionally, the research attempts to construct a schedule estimating relationship (SER) capable of predicting total migration duration to reveal schedule drivers responsible for schedule variation and improve future schedule planning. Overall, the findings support that schedule deviations exist between planned and actual schedule data for one or more migration processes, the schedule deviations within processes can explain the total schedule deviation for the entirety of the migration timeline, and that application specific attributes are unlikely to influence the total duration of the migration. Finally, the research was unable to construct a reliable model using stepwise regression approach given various data limitations.

AFIT Designator

AFIT-ENV-MS-24-M-135

Comments

A 12-month embargo was observed for posting this work on AFIT Scholar.

Distribution Statement A, Approved for Public Release. PA case number on file.

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