Abstract
Forecasting cloud infrastructure costs can present challenges due to the difficulty in translating high-level business objectives, such as projected user volume, into the granular technical inputs that some estimation tools may be configured to use. Systems and methods are described for cloud cost modeling that can utilize a repository of predefined architectural patterns and associated heuristic rules. A system can receive business-centric inputs, such as application type and volume metrics, select a corresponding architectural pattern, and apply heuristic logic to translate these inputs into a manifest of technical resource demands, for example, compute, storage, and networking resources. This process may generate a detailed cost projection, which can permit stakeholders to assess the financial feasibility of new initiatives, potentially reducing the need for a pre-existing, detailed architectural design.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Krishna, Thiyag, "Cloud Cost Modeling Using Architectural Patterns and Heuristic Translation", Technical Disclosure Commons, (January 29, 2026)
https://www.tdcommons.org/dpubs_series/9249