Demo Abstract: SmartSAT - A Customizable Secure App for San Antonio Transit Pilot Project

Yang, Jeong; Lee, Young; Noon, William T.; Abraham, Anoop

doi:10.1145/3551660.3560910

Cited by 3 publications

(2 citation statements)

References 4 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%

“…SmartSAT is a customizable mobile app for San Antonio Transit that provides critical services to transit users. It is similar to other apps like Google Maps, Moovit, and Transit, but SmartSAT is designed specifically to improve the transit experience for lower-income people who rely on San Antonio's public VIA Transit [25]. Its main objective is to provide real-time bus location information to reduce riders' wait times and thus the length of their daily commutes.…”

Section: Smartsat Django Web 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

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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%

Section: Smartsat Django Web Applicationmentioning

confidence: 99%

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

Abraham

Yang

2023

Lecture Notes in Networks and Systems

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Analyzing the Features, Usability, and Performance of Deploying a Containerized Mobile Web Application on Serverless Cloud Platforms

Yang,

Abraham

2024

Future Internet

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Serverless computing services are offered by major cloud service providers such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure. The primary purpose of the services is to offer efficiency and scalability in modern software development and IT operations while reducing overall costs and operational complexity. However, prospective customers often question which serverless service will best meet their organizational and business needs. 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 with 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 and 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 than 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.

show abstract

Demo Abstract: SmartSAT - A Customizable Secure App for San Antonio Transit Pilot Project

Cited by 3 publications

References 4 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

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

Analyzing the Features, Usability, and Performance of Deploying a Containerized Mobile Web Application on Serverless Cloud Platforms

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