Performance Optimization And Traffic Enggineering In Software-Defined Cloud Networking Arthitecture
Kata Kunci:
Software-Defined Networking, Cloud Networking, Traffic Engineering, Optimasi Jaringan, Kinerja JaringanAbstrak
Peningkatan kebutuhan terhadap layanan cloud menyebabkan jaringan menghadapi berbagai tantangan, seperti peningkatan trafik, kemacetan, latency, packet loss, dan pemanfaatan bandwidth yang belum optimal. Software-Defined Networking (SDN) menawarkan pendekatan pengelolaan jaringan yang lebih fleksibel melalui pemisahan control plane dan data plane, sehingga mendukung penerapan Traffic Engineering untuk mengoptimalkan distribusi lalu lintas. Penelitian ini bertujuan menganalisis pengaruh penerapan Traffic Engineering terhadap kinerja jaringan pada arsitektur Software-Defined Cloud Networking serta membandingkannya dengan mekanisme routing dasar. Metode penelitian yang digunakan adalah pendekatan kuantitatif melalui pengujian eksperimental dengan beberapa skenario trafik, meliputi kondisi normal, trafik tinggi, penerapan Traffic Engineering, dan kondisi trafik dinamis. Parameter yang diamati meliputi throughput, latency, packet loss, dan bandwidth utilization. Hasil pengujian menunjukkan bahwa penerapan Traffic Engineering mampu meningkatkan throughput dari 72,4 Mbps menjadi 91,7 Mbps atau sebesar 26,38%, menurunkan latency dari 38,6 ms menjadi 24,3 ms atau sebesar 37,05%, serta mengurangi packet loss dari 4,8% menjadi 1,6% atau sebesar 66,67%. Selain itu, bandwidth utilization meningkat dari 61,5% menjadi 78,2%. Hasil tersebut menunjukkan bahwa kombinasi SDN dan Traffic Engineering mampu meningkatkan efisiensi serta kualitas layanan jaringan cloud dibandingkan dengan routing dasar. Penelitian selanjutnya dapat berfokus pada pengembangan algoritma optimasi adaptif berbasis kondisi trafik secara real-time serta pengujian kinerja pada topologi jaringan dan kondisi trafik yang lebih kompleks.
Unduhan
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Hak Cipta (c) 2026 Arif Sugianto (Penulis); Ahmad Sahir, Amal Rozi (Penerjemah)
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