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Generative AI Based Client Server Architecture for Mobile Computing      
Yazarlar (2)
Ezgi Yıldırım
Prof. Dr. Ensar GÜL Prof. Dr. Ensar GÜL
T.C. Maltepe Universitesi, Türkiye
Devamını Göster
Özet
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.
Anahtar Kelimeler
Client server architecture | Generative AI based architecture | Generative AI based mobile applications | Mobile application design
Bildiri Türü Tebliğ/Bildiri
Bildiri Alt Türü Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum)
Bildiri Niteliği Alanında Hakemli Uluslararası Kongre/Sempozyum
Bildiri Dili İngilizce
Kongre Adı 2025 International Conference on Computer Systems and Technologies (CompSysTech)
Kongre Tarihi 27-06-2025 /
Basıldığı Ülke Bulgaristan
Basıldığı Şehir Russe
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Generative AI Based Client Server Architecture for Mobile Computing

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