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arXiv · 2606.11824

Optimizing Cloud Deployment: Blending of IaaS and FaaS for Microservice Architecture

Nikhil Kapoor·Sougata Mukherjea
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Abstract

The rapid evolution of cloud computing has resulted in the adoption of hybrid deployments that blend Infrastructure-as-a-Service (IaaS) and Function-as-a-Service (FaaS) service models to optimize resource utilization, scalability, and operational efficiency. This paper presents a comprehensive study and practical implementation of a metrics-driven approach for migrating microservices from a traditional IaaS service model to a hybrid IaaS + FaaS model, using two microservice applications as case studies. The research develops an automated framework to analyze service-level performance metrics to identify microservices that are best suited for serverless execution. The findings of our research highlight the benefits and limitations of different cloud service models and provide a scalable and replicable automated methodology for optimized deployment of cloud-native applications.

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Nikhil Kapoor, Sougata Mukherjea. 2026-06-10. Optimizing Cloud Deployment: Blending of IaaS and FaaS for Microservice Architecture. https://doi.org/10.1109/cloudcom67567.2025.11331551%2010.1109%2Fcloudcom67567.2025.11331551%2010.1109%2Fcloudcom67567.2025.11331551%2010.1109%2Fcloudcom67567.2025.11331551

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