Multi-Cloud Migration: A Framework for Selecting and Integrating Multiple Cloud Providers to Achieve Business Objectives

Abstract

This paper presents a comprehensive exploration of a multi-cloud migration framework intended to optimize resource allocation, reduce operational overhead, and achieve critical business objectives. The work provides an in-depth analysis of how organizations can strategically integrate multiple cloud platforms in a cohesive manner, rather than relying solely on a single provider. Emphasis is placed on establishing a quantitative foundation for identifying crucial decision variables, such as latency profiles and cost metrics, that dictate the overall efficiency of cloud-based operations. The investigation addresses emerging concerns related to performance variability, security compliance, and workload portability by proposing an advanced model that integrates optimization and continuous monitoring strategies. The significance of formulating  rigorous methods for provider selection is highlighted to demonstrate how organizations can accurately balance cost, performance, and risk. This discussion includes realistic outcomes that illustrate both the strengths and limitations of the proposed approach, which may prove especially valuable to enterprises undergoing complex digital transformations. The paper concludes by introducing plausible avenues for further refinement of the framework, including potential incorporation of sophisticated machine learning techniques for demand prediction and resource utilization forecasting. By systematically examining both the conceptual and technical facets of multi-cloud adoption, this study aims to inform decision-makers seeking to harmonize diverse cloud environments with evolving organizational goals.