Content area

Abstract

Conference Title: 2025 International Conference on Computer Systems and Technologies (CompSysTech)

Conference Start Date: 2025 June 27

Conference End Date: 2025 June 28

Conference Location: Ruse, Bulgaria

In a traditional, well-known client-server architecture, the client sends a request to the server, and the server prepares the response by executing business logic that utilizes information from static files or a database. With the introduction of generative AI, the server- side architecture has evolved to include generative AI, enhancing the server's ability to generate responses for the client. This study compares traditional clientserver architectures with generative AI-based architectures and presents a case study that uses a specific Generative AI model to develop a mobile application.

Details

Title
Generative AI Based Client Server Architecture for Mobile Computing
Author
Yildirim, Ezgi 1 ; Gul, Ensar 2   VIAFID ORCID Logo 

 Dept. of Information and Communication Technology Turkcell,Istanbul,Turkey 
 Maltepe University,Dept. of Software Engineering,Istanbul,Turkey 
Pages
1-5
Number of pages
5
Publication year
2025
Publication date
2025
Publisher
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Place of publication
Piscataway
Country of publication
United States
Source type
Conference Paper
Language of publication
English
Document type
Conference Proceedings
Publication history
 
 
Online publication date
2025-09-02
Publication history
 
 
   First posting date
02 Sep 2025
ProQuest document ID
3247479115
Document URL
https://www.proquest.com/conference-papers-proceedings/generative-ai-based-client-server-architecture/docview/3247479115/se-2?accountid=208611
Copyright
Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2025
Last updated
2025-09-06
Database
ProQuest One Academic