BULUT BİLİŞİM AĞ TOPOLOJİLERİNDE PERFORMANS VE HATA TOLERANSI ANALİZİ

Abstract

Günümüzde artan veri trafiği ve ölçeklenebilir sistem gereksinimleri doğrultusunda, bulut bilişim altyapılarında kullanılan ağ topolojilerinin performansı büyük önem taşımaktadır. Bu bağlamda, özellikle veri merkezlerinde tercih edilen Fat Tree, Z-Fat Tree ve RUFT-PL (Reduced Unidirectional Fat Tree with Parallel Links) topolojileri, çok katmanlı yapıları hem ağ içi paket iletim performansı hem de bağlantı arızalarına karşı gösterdikleri dayanıklılık açısından dikkat çekmektedir. Bu çalışmada, söz konusu topolojilerin performansları karşılaştırmalı olarak değerlendirilmiş ve farklı bağlantı arızası senaryoları altında gösterdikleri iletim başarısı, gecikme süreleri ve ağ dayanıklılığı analiz edilmiştir. Elde edilen bulgular, paralel bağlantıların hata toleransını artırdığını, tam bağlantılı yapılarda dengeli performans sağlandığını ve düşük bağlantı yoğunluğunun arıza hassasiyetini yükselttiğini göstermiştir.

Keywords

• Bulut Bilişim
• Ağ Topolojileri
• Hata Toleransı
• Ağ Performansı

PERFORMANCE AND FAULT TOLERANCE ANALYSIS IN CLOUD COMPUTING NETWORK TOPOLOGIES

Abstract

With the increasing volume of data traffic and the growing need for scalable systems, the performance of network topologies used in cloud computing infrastructures has become critically important. In this context, the Fat Tree, Z-Fat Tree, and RUFT-PL (Reduced Unidirectional Fat Tree with Parallel Links) topologies, which are especially preferred in data centers, stand out with their multilayered structures in terms of both packet transmission performance and resilience against link failures. In this study, the performance of these topologies is evaluated comparatively under various link failure scenarios, focusing on transmission success, latency, and network robustness. The findings reveal that parallel links enhance fault tolerance, fully connected structures offer balanced performance, and reduced connection density increases sensitivity to failures.

Keywords

• Cloud Computing
• Network Topologies
• Fault Tolerance
• Network Performance

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