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

Source: arXiv - 2606.11824v1

Overview

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.

Key Contributions

This paper presents research in the following areas:

• cs.DC

Methodology

Please refer to the full paper for detailed methodology.

Practical Implications

This research contributes to the advancement of cs.DC.

Authors

• Nikhil Kapoor
• Sougata Mukherjea

Paper Information

• arXiv ID: 2606.11824v1
• Categories: cs.DC
• Published: June 10, 2026
• PDF: Download PDF