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SuperArch: Optimal Architecture Design for Cloud Deployment

Published:07 May 2024Publication History

ABSTRACT

The success of application migration to cloud depends on multiple factors such as achieving expected performance, optimal cost on deployment, data security etc. The application migration process starts with the architecture design, mapping technical and business specifications to the appropriate services in cloud. However, cloud vendors offer numerous services for each service type and requirement. The onus of selecting the optimal service from the pool lies with the user. Identifying an optimal service for a specific component or application requirement is a daunting task and necessitates a deep understanding of each cloud service offered.

This paper introduces SuperArch, a supervised architecture design tool designed to facilitate optimal selection and configuration of cloud services. We propose utilization of Large Language Models (LLM) for extracting information from user requirements and specifications, aiding in optimal selection of cloud services. Additionally, SuperArch maps workloads to the cloud services to generate optimal configurations of the cloud service and estimate performance and cost of the entire architecture.

References

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      • Published in

        cover image ACM Conferences
        ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering
        May 2024
        305 pages
        ISBN:9798400704451
        DOI:10.1145/3629527

        Copyright © 2024 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 7 May 2024

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