Performance evaluation of serverless cloud-native API deployment: a case study on a mobile health application.
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| Title: | Performance evaluation of serverless cloud-native API deployment: a case study on a mobile health application. |
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| Authors: | Irfansyah, Maulana Bintang1 maulanabin@pasca.student.pens.ac.id, Waheed, Bilal1, Winarno, Idris1, Alimudin, Akhmad1 |
| Source: | Telkomnika. Feb2026, Vol. 24 Issue 1, p34-48. 15p. |
| Subjects: | Mobile health, Application program interfaces, On-demand computing, Benchmark problems (Computer science), Client/server computing, Scalability, Cloud computing |
| Abstract: | As software applications become increasingly complex, there is a growing need for scalable, flexible, and high-performance backend solutions. Cloud computing-based application programming interfaces (APIs) address these demands by enabling developers to offload resource-intensive tasks to the cloud while eliminating the burden of infrastructure management. This study presents a case study using Obesifix, a mobile health application for realtime dietary monitoring and personalized nutrition recommendations. Two deployment models were evaluated: a traditional server-based architecture using Google Compute Engine (GCE) and a serverless approach using Google Cloud Run (GCR). Performance testing was conducted with Apache JMeter under simulated loads of 60, 120, and 180 users across four critical API endpoints (register, login, recommendation, prediction). Results show that GCR consistently achieved 20-30% lower response times and 15-20% higher throughput compared to GCE, while maintaining 0% error rate, lower memory consumption, and more balanced virtual central processing unit (vCPU) utilization. Time to first byte (TTFB) remained below 800 ms across all scenarios, confirming good server responsiveness. These findings highlight the scalability and efficiency benefits of serverless architectures for mobile health applications. Future research should explore asynchronous programming paradigms, autoscaling thresholds, and cost-performance trade-offs, as well as multi-cloud deployments to enhance system resilience and generalizability. [ABSTRACT FROM AUTHOR] |
| Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192065407 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Performance evaluation of serverless cloud-native API deployment: a case study on a mobile health application. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Irfansyah%2C+Maulana+Bintang%22">Irfansyah, Maulana Bintang</searchLink><relatesTo>1</relatesTo><i> maulanabin@pasca.student.pens.ac.id</i><br /><searchLink fieldCode="AR" term="%22Waheed%2C+Bilal%22">Waheed, Bilal</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Winarno%2C+Idris%22">Winarno, Idris</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Alimudin%2C+Akhmad%22">Alimudin, Akhmad</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Telkomnika%22">Telkomnika</searchLink>. Feb2026, Vol. 24 Issue 1, p34-48. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mobile+health%22">Mobile health</searchLink><br /><searchLink fieldCode="DE" term="%22Application+program+interfaces%22">Application program interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22On-demand+computing%22">On-demand computing</searchLink><br /><searchLink fieldCode="DE" term="%22Benchmark+problems+%28Computer+science%29%22">Benchmark problems (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Client%2Fserver+computing%22">Client/server computing</searchLink><br /><searchLink fieldCode="DE" term="%22Scalability%22">Scalability</searchLink><br /><searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: As software applications become increasingly complex, there is a growing need for scalable, flexible, and high-performance backend solutions. Cloud computing-based application programming interfaces (APIs) address these demands by enabling developers to offload resource-intensive tasks to the cloud while eliminating the burden of infrastructure management. This study presents a case study using Obesifix, a mobile health application for realtime dietary monitoring and personalized nutrition recommendations. Two deployment models were evaluated: a traditional server-based architecture using Google Compute Engine (GCE) and a serverless approach using Google Cloud Run (GCR). Performance testing was conducted with Apache JMeter under simulated loads of 60, 120, and 180 users across four critical API endpoints (register, login, recommendation, prediction). Results show that GCR consistently achieved 20-30% lower response times and 15-20% higher throughput compared to GCE, while maintaining 0% error rate, lower memory consumption, and more balanced virtual central processing unit (vCPU) utilization. Time to first byte (TTFB) remained below 800 ms across all scenarios, confirming good server responsiveness. These findings highlight the scalability and efficiency benefits of serverless architectures for mobile health applications. Future research should explore asynchronous programming paradigms, autoscaling thresholds, and cost-performance trade-offs, as well as multi-cloud deployments to enhance system resilience and generalizability. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.12928/TELKOMNIKA.v24i1.27261 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 34 Subjects: – SubjectFull: Mobile health Type: general – SubjectFull: Application program interfaces Type: general – SubjectFull: On-demand computing Type: general – SubjectFull: Benchmark problems (Computer science) Type: general – SubjectFull: Client/server computing Type: general – SubjectFull: Scalability Type: general – SubjectFull: Cloud computing Type: general Titles: – TitleFull: Performance evaluation of serverless cloud-native API deployment: a case study on a mobile health application. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Irfansyah, Maulana Bintang – PersonEntity: Name: NameFull: Waheed, Bilal – PersonEntity: Name: NameFull: Winarno, Idris – PersonEntity: Name: NameFull: Alimudin, Akhmad IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16936930 Numbering: – Type: volume Value: 24 – Type: issue Value: 1 Titles: – TitleFull: Telkomnika Type: main |
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