Comparative Study of Serverless Computing and Traditional IaaS Models for High-Throughput Workloads
Keywords:
Serverless Computing, Iaas, Cloud Architecture, High-Throughput, Scalability, Resource ManagementAbstract
This paper presents a comparative analysis of serverless computing and traditional Infrastructure-as-a-Service (IaaS) models in handling high-throughput workloads. Serverless platforms such as AWS Lambda offer event-driven, pay-as-you-go resource provisioning, whereas traditional IaaS relies on pre-configured, continuously running virtual machines. We evaluate both models across scalability, cost efficiency, resource utilization, and performance under varying workloads. Our findings suggest that serverless architectures provide improved cost efficiency and elasticity for spiky, event-driven workloads, while traditional IaaS remains favorable for long-running, resource-intensive tasks requiring consistent performance
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