Evaluasi Performa Model Layanan Cloud Computing: Studi Komparatif Iaas, Paas, Dan Saas Dengan Pengujian Beban Bertingkat
DOI:
https://doi.org/10.36382/jti-tki.v16i2.625Keywords:
Cloud Computing, IaaS, PaaS, SaaAbstract
Cloud computing has become a fundamental paradigm in digital transformation, offering three main service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) [1]. This study examines the comparative performance of these three cloud computing service models through multilevel load testing with five different scenarios (50, 200, 500, 1000, and 2000 concurrent users). Using an experimental methodology with Apache JMeter as a testing tool, this study analyzes critical metrics such as response time, throughput, CPU utilization, memory usage, error rate, and availability [2]. The test results show that PaaS provides superior performance with an average response time of 532.2 ms and a throughput of 2562 req/s, exceeding IaaS (597.0 ms, 2428 req/s) and SaaS (656.0 ms, 2342 req/s). In terms of resource efficiency, PaaS shows optimal CPU utilization (68.2%) and the lowest memory usage (5.16 GB) [3]. Cost-performance ratio analysis reveals that PaaS has the best ratio (0.0041-0.0103), followed by SaaS and IaaS. These findings provide practical guidance for organizations in choosing a cloud computing model that suits their technical and financial needs [4].
References
[1] Younis, R., et al. (2024). A Comprehensive Analysis of Cloud Service Models: IaaS, PaaS, and SaaS in the Context of Emerging Technologies and Trends. [1]
[2] Qadi, M.J., & Harbi, I.M. (2024). An Overview of Cloud Computing Systems. [4]
[3] Mahajan, J., & Kaur, J. (2025). Structural and Functional Perspectives on Cloud Service Models: A Review. [6]
[4] Devi, P. (2024). Literature Review on Cloud Computing: A Paradigm Combining Service-Oriented Architecture with Internet-Based Solutions. [7]
[5] Kokate, D., et al. (2025). Navigating the World of Cloud Computing: What Growing Businesses Need to Know. [8]
[6] Kurniawan, A.P., et al. (2023). Performance Evaluation for Deploying Dockerized Web Application on AWS, GCP, and Azure. [2]
[7] Alzboon, G., & Ahmad, A.A. (2022). A Performance Evaluation Approach for n-tier Cloud-Based Software Services. [11]
[8] Wang, Q., et al. (2023). KeenTune: Automated Tuning Tool for Cloud Application Performance Testing and Optimization. [18]
[9] Kaushik, P., et al. (2021). Cloud Computing and Comparison based on Service and Performance between Amazon AWS, Microsoft Azure, and Google Cloud. [10]
[10] Sathar, G., et al. (2025). Cloud Computing for Big Data Analytics: Scalable Solutions for Data-Intensive Applications. [3]
[11] Saleh, R., & Kusrini, K. (2025). Analisis Perbandingan Kinerja Web Humas Infrastruktur On-Premise dan Cloud Computing dengan Load Balancer Round Robin. [12]
[12] Nadeem, F. (2022). Evaluating and Ranking Cloud IaaS, PaaS and SaaS Models based on Functional and Non-Functional Key Performance Indicators. [13]
[13] Hasan, R.A., & Hameed, T.M. (2025). Optimizing Cloud Computing: Balancing Cost, Reliability, and Energy Efficiency. [5]
[14] Smirnova, T., et al. (2024). Research of Cyber Security Technologies of Cloud Services IaaS, PaaS and SaaS. [16]
[15] Wulf, F., et al. (2021). IaaS, PaaS, or SaaS? The Why of Cloud Computing Delivery Model Selection. [14]
[16] Akawuku, G.I., et al. (2025). Software Engineering Dimensions: Empirical Frameworks on Microservices Architecture in Cloud Computing Domains. [15]
[17] Ahmed, S. (2025). Evaluating the Role of Edge Computing in Reducing Latency and Enhancing Efficiency in Cloud-Based Data Storage and Access. [17]
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Copyright (c) 2026 Dian Wahyuningsih, Luqman Affandi, Evy Sophia
This work is licensed under a Creative Commons Attribution 4.0 International License.
