A Comparative Analysis of Performance and Usability on Serverless and Server-Based Google Cloud Services

Abraham, Anoop; Yang, Jeong

doi:10.1007/978-3-031-33743-7_33

Cited by 5 publications

(4 citation statements)

References 20 publications

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“…The primary goal of the study was to analyze and evaluate the usability and performance of a containerized SmartSAT Django mobile web application [20,25] on three serverless cloud services: Google's Cloud Run, AWS's App Runner, and Microsoft Azure's Container Apps. Toward this, the following three research questions were accordingly developed.…”

Section: Methodsmentioning

confidence: 99%

“…Kubernetes is a popular open-source project that is used by many organizations to manage containerized applications. Cloud Run offers a number of benefits [20], including:…”

Section: Google Cloud Runmentioning

confidence: 99%

“…For the performance measurements, the application was slightly modified to enable its deployment on each service. This application was chosen for its ease of deployment, as it was already developed and containerized as part of the project [20], making it compatible with the selected services. In order to create a required load on the application, an Android emulator was used to simulate the GPS (Global Positioning System) movement of a bus along a selected bus route.…”

Section: Performance Measurements Of Applicationmentioning

confidence: 99%

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Analyzing the System Features, Usability, and Performance of a Containerized Application on Serverless Cloud Computing Systems

Abraham

Yang

2023

Preprint

Self Cite

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This study analyzed the features, usability, and performance of three serverless cloud computing platforms: Google Cloud’s Cloud Run, Amazon Web Service’s App Runner, and Microsoft Azure’s Container Apps. The analysis was conducted on a containerized mobile application designed to track real-time bus locations for San Antonio public buses on specific routes and provide estimated arrival times for selected bus stops. The study evaluated various system-related features, including service configuration, pricing, and memory & CPU capacity, along with performance metrics such as container latency, Distance Matrix API response time, and CPU utilization for each service. The results of the analysis revealed that Google’s Cloud Run demonstrated better performance and usability when compared to AWS’s App Runner and Microsoft Azure’s Container Apps. Cloud Run exhibited lower latency and faster response time for distance matrix queries. These findings provide valuable insights for selecting an appropriate serverless cloud service for similar containerized web applications.

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Section: Methodsmentioning

confidence: 99%

“…Kubernetes is a popular open-source project that is used by many organizations to manage containerized applications. Cloud Run offers a number of benefits [20], including:…”

Section: Google Cloud Runmentioning

confidence: 99%

Section: Performance Measurements Of Applicationmentioning

confidence: 99%

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Analyzing the System Features, Usability, and Performance of a Containerized Application on Serverless Cloud Computing Systems

Abraham

Yang

2023

Preprint

Self Cite

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“…Serverless Computing stands at the forefront of cloud innovation, offering a paradigm shift that empowers developers and organizations to build and scale applications with unprecedented speed and efficiency (Elger & Shanaghy, 2020, Rahman, 2023, Sabbioni, 2023. As businesses navigate the digital landscape, Serverless Computing emerges not just as a technology but as a catalyst for innovation, driving agility, cost-effectiveness, and scalability.…”

Section: Serverless Computingmentioning

confidence: 99%

Review of Evolving Cloud Computing Paradigms: Security, Efficiency, and Innovations

Ogugua Chimezie Obi,

Samuel Onimisi Dawodu,

Andrew Ifesinachi Daraojimba

et al. 2024

Comput. sci. IT res. j.

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The paper provides a comprehensive analysis of the dynamic landscape of cloud computing, with a focus on security, efficiency, and innovative trends. It delves into the evolving paradigms that shape the current state of cloud computing, offering insights into the challenges and opportunities that arise as the technology continues to advance. Security is a central theme in the review, addressing the critical concerns associated with data privacy, integrity, and access control in cloud environments. The study explores the latest security measures and protocols implemented to safeguard sensitive information, emphasizing the importance of robust security frameworks in an era marked by cyber threats and vulnerabilities. Efficiency is another key aspect under scrutiny, with the review evaluating performance optimization strategies, resource allocation mechanisms, and scalability solutions. The authors examine how cloud providers are adapting to meet the growing demand for efficient and sustainable computing resources, highlighting best practices and emerging trends that contribute to enhanced performance. Furthermore, the review sheds light on the innovative trends shaping the future of cloud computing. It explores cutting-edge technologies, such as edge computing, serverless architectures, and containerization, and their impact on reshaping the cloud landscape. The paper concludes by summarizing the key takeaways and emphasizing the importance of understanding and adapting to the evolving paradigms in cloud computing to ensure a secure, efficient, and innovative digital future. Keywords: Cloud Computing, Information Technology, Computing, Security, Innovations, Review.

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Analyzing the Usability, Performance, and Cost-Efficiency of Deploying ML Models on BigQuery ML and Vertex AI in Google Cloud

Wang,

Yang,

Liang

et al. 2024

Proceedings of the 2024 8th International Conference on Cloud and Big Data Computing

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A Comparative Analysis of Performance and Usability on Serverless and Server-Based Google Cloud Services

Cited by 5 publications

References 20 publications

Analyzing the System Features, Usability, and Performance of a Containerized Application on Serverless Cloud Computing Systems

Analyzing the System Features, Usability, and Performance of a Containerized Application on Serverless Cloud Computing Systems

Review of Evolving Cloud Computing Paradigms: Security, Efficiency, and Innovations

Analyzing the Usability, Performance, and Cost-Efficiency of Deploying ML Models on BigQuery ML and Vertex AI in Google Cloud

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