The cloud computing industry has witnessed a rapid growth in recent years, providing businesses with an opportunity to scale their operations dynamically. With the emergence of multiple cloud providers, it has become increasingly challenging to determine which provider offers the most scalable services for a particular workload. This master thesis aims to compare the scalability of three major cloud providers: Amazon Web Services (AWS), Google Cloud, and Microsoft Azure. The study focuses on benchmarking the scalability of their compute, storage, and database services. To achieve this, a set of well-defined benchmarks will be used to evaluate the performance of each provider. The benchmarks will be designed to simulate a range of workloads, from small to large-scale, to assess how each provider's services perform when under different load conditions. The results will be analyzed and compared to identify the strengths and weaknesses of each provider's services. This study will provide valuable insights into which cloud provider offers the most scalable services, and will help businesses make informed decisions when choosing a cloud provider for their specific needs. The findings of this study will contribute to the ongoing discussion on the performance of cloud services, and will offer guidance to businesses on selecting the most appropriate cloud provider to meet their scalability requirements.
The cloud computing industry has witnessed a rapid growth in recent years, providing businesses with an opportunity to scale their operations dynamically. With the emergence of multiple cloud providers, it has become increasingly challenging to determine which provider offers the most scalable services for a particular workload. This master thesis aims to compare the scalability of three major cloud providers: Amazon Web Services (AWS), Google Cloud, and Microsoft Azure. The study focuses on benchmarking the scalability of their compute, storage, and database services. To achieve this, a set of well-defined benchmarks will be used to evaluate the performance of each provider. The benchmarks will be designed to simulate a range of workloads, from small to large-scale, to assess how each provider's services perform when under different load conditions. The results will be analyzed and compared to identify the strengths and weaknesses of each provider's services. This study will provide valuable insights into which cloud provider offers the most scalable services, and will help businesses make informed decisions when choosing a cloud provider for their specific needs. The findings of this study will contribute to the ongoing discussion on the performance of cloud services, and will offer guidance to businesses on selecting the most appropriate cloud provider to meet their scalability requirements.
Achieving Reproducibility in Cloud Benchmarking: A Focus on FaaS Services
NURSULTAN, SAADAT
2022/2023
Abstract
The cloud computing industry has witnessed a rapid growth in recent years, providing businesses with an opportunity to scale their operations dynamically. With the emergence of multiple cloud providers, it has become increasingly challenging to determine which provider offers the most scalable services for a particular workload. This master thesis aims to compare the scalability of three major cloud providers: Amazon Web Services (AWS), Google Cloud, and Microsoft Azure. The study focuses on benchmarking the scalability of their compute, storage, and database services. To achieve this, a set of well-defined benchmarks will be used to evaluate the performance of each provider. The benchmarks will be designed to simulate a range of workloads, from small to large-scale, to assess how each provider's services perform when under different load conditions. The results will be analyzed and compared to identify the strengths and weaknesses of each provider's services. This study will provide valuable insights into which cloud provider offers the most scalable services, and will help businesses make informed decisions when choosing a cloud provider for their specific needs. The findings of this study will contribute to the ongoing discussion on the performance of cloud services, and will offer guidance to businesses on selecting the most appropriate cloud provider to meet their scalability requirements.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/52326