This report compares the performance of container orchestration architecture and serverless computing platforms within cloud computing. The focus is on their application in managing real-time communications for electric vehicle(EV) charging systems using the Open Charge Point Protocol (OCPP). With the growing demand for efficient and scalable cloud solutions, especially in sectors using Internet of Things (IoT) and real-time communication technologies, this study investigates how different architectures handle high-load scenarios and real-time data transmission. Through systematic load testing of Kubernetes (for container orchestration) and Azure Functions (for serverless computing), the report measures and analyzes response times, throughput, and error rates at various demand levels. The findings indicate that while Kubernetes performs robustly under consistent loads, Azure Functionsexcel in managing dynamic, high-load conditions, showcasing superior scalability and efficiency. A controlled experiment method ensures a precise and objective assessment of performance differences. The report concludes by proposing a hybrid model that leverages the strengths of both architectures to optimize cloud resource utilization and performance.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-130115 |
| Date | January 2024 |
| Creators | Kushkbaghi, Nick |
| Publisher | Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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