Back to results

Embry Riddle Aeronautical University

Comparative Performance Analysis of Cryptographic Workloads Across Cloud Providers: A Multi-Language Study on FaaS and IaaS Platforms Dataset

Abstract

dc:description.abstract

<p>Cloud computing has become a relatively new paradigm for the delivery of compute resources, with key management services (KMS) playing a crucial role in securely handling cryptographic operations in the cloud. This paper presents the microbenchmark of cloud cryptographic workloads, including SHA HMAC generation, AES encryption/decryption, ECC signature/verification, and RSA encryption/decryption, across Function-as-a-Service (FaaS) and Infrastructure-as-a-Service (IaaS) in conjunction with KMS offerings from Ama- zon Web Services (AWS) and Microsoft Azure to conduct a comparative performance analysis. The methodology involves the AWS Cloud Development Kit (CDK) and the Bicep language to deploy AWS Lambda Functions and Azure Functions, respectively, to work with their respective KMS to conduct cryptographic workloads. Additionally, these workloads are executed on Elastic Compute Cloud (EC2) instances and Azure Virtual Machines using specific burst instance types. The performance assessment spans multiple configurations, including x86 64 and Arm64 architectures, various programming languages (Rust, Go, Python, Java, C#, and TypeScript), and function memory allocations. The findings highlight performance trade-offs between FaaS and IaaS compute paradigms for cryptographic workloads, emphasizing variations in execution speed and resource utilization. The impact of different hardware architectures, programming languages, memory configurations, and instance types is analyzed, providing information on optimal cloud deployment strategies for cryptographic workloads.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science in Computer Science
Level thesis:degree_level
Thesis - Open Access
Discipline thesis:degree_discipline
Electrical Engineering and Computer Science
Year dc:date.available
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Webb, Jeremiah

Subjects

dc:subject × 13

Identifiers

dc:identifier.*
Repository record dc:identifier
https://commons.erau.edu/edt/995
OAI identifier oai:identifier
oai:commons.erau.edu:edt-1911

Chain of custody

source
Harvested from
Embry Riddle Aeronautical University
Base URL
commons.erau.edu/do/oai/
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Webb, Jeremiah. Comparative Performance Analysis of Cryptographic Workloads Across Cloud Providers: A Multi-Language Study on FaaS and IaaS Platforms Dataset. Thesis - Open Access thesis, 2025. https://commons.erau.edu/edt/995