Sahat Parulian, - (2024) ANALISIS DAN IMPLEMENTASI INFRASTRUKTUR KOMPUTASI AWAN BERBASIS WEB DENGAN PEMANFAATAN LOAD BALANCING DAN AUTO-SCALING PADA GOOGLE CLOUD PLATFORM. S1 thesis, Universitas Pendidikan Indonesia.
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Abstract
Perkembangan teknologi dan informasi yang cepat memberikan pengaruh signifikan terhadap bidang jaringan, yang ditandai dengan hadirnya teknologi virtualisasi komputasi awan. Berdasarkan hasil survei Centre for Strategic and International Studies (CSIS) yang menyatakan sebanyak 69,8% lembaga di Indonesia belum menggunakan layanan komputasi awan di Tahun 2022 yang dapat mempengaruhi terhadap kinerja sebuah web terhadap server. Sebagai contoh nyata, berdasarkan laporan media massa digital, sebuah web yang dimiliki oleh Badan Usaha Milik Negara (BUMN) mengalami penurunan kinerja karena tingginya jumlah traffic terhadap server sehingga web tidak dapat diakses. Untuk menangani permintaan traffic tinggi tersebut akan menggunakan teknik load balancing dan auto-scaling dalam komputasi awan. Oleh sebab itu tujuan dari penelitian ini adalah mengetahui rancangan infrastruktur komputasi awan serta performa load balancing dan auto-scaling dalam implementasi web untuk mengatasi traffic tinggi dan rendah menggunakan Google Cloud Platform (GCP). Dengan metode penelitian yang diterapkan adalah Research and Development (R&D) menggunakan pendekatan ADDIE, meliputi lima tahap: Analysis, Design, Development, Implementation, dan Evaluation. Hasil penelitian menunjukkan bahwa rancangan infrastruktur awan memiliki parameter delay dan packet loss yang masuk kategori baik, serta throughput kategori cukup sesuai dengan standar TIPHON, dengan down-time pada auto-scaling yang konsisten sebesar 30 detik. Penggunaan konfigurasi mesin virtual dalam penelitian ini terdiri dari 3 spesifikasi yang menunjukkan kemampuan yang baik dalam menangani traffic tinggi dan rendah. ----- The rapid development of technology and information has a significant impact on the network field, which is marked by the presence of cloud computing virtualisation technology. The results of a survey conducted by the Center for Strategic and International Studies (CSIS) indicate that 69.8% of institutions in Indonesia have not utilized cloud computing services in 2022. This may have an adverse impact on the performance of a web application against a server. To illustrate, a web page owned by a state-owned enterprise (BUMN) has been observed to exhibit reduced performance due to the high volume of traffic on the server, resulting in unavailability of the web page. In order to meet the demands of high traffic volumes, load balancing and auto-scaling techniques will be employed within the cloud computing environment. The objective of this study is to ascertain the optimal design of a cloud computing infrastructure and the efficacy of load balancing and auto-scaling techniques in web implementation, with the aim of managing high and low traffic demands. The research method employed is that of Research and Development (R&D), utilising the ADDIE approach, comprising five stages: The analysis, design, development, implementation and evaluation stages were employed. The results demonstrate that the cloud infrastructure design exhibits delay and packet loss parameters that fall within the good category, as well as sufficient throughput in accordance with TIPHON standards. Furthermore, the auto-scaling down-time is consistent at 30 seconds. The virtual machine configurations in this study consist of three specifications that demonstrate an ability to handle high and low traffic.
| Item Type: | Thesis (S1) |
|---|---|
| Additional Information: | https://scholar.google.com/citations?hl=en&user=2VnMAjsAAAAJ&view_op=list_works&gmla=AC6lMd_-2ooAn_MEYCmoVp_q5Nc6AS9sdY70--II6dl6ewt6_oulaS4PHTEWig8WX6xwcdDzx4Tp ID SINTA Dosen Pembimbing : Galura Muhammad Suranegara : 6703764 Ahmad Fauzi : 6122861 |
| Uncontrolled Keywords: | Kata Kunci: Google Cloud Platform, Load Balancing, Auto-Scaling, Komputasi Awan, Down-time Keywords: Google Cloud Platform, Load Balancing, Auto-Scaling, Cloud Computing, Down-time |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | UPI Kampus Purwakarta > S1 Sistem Telekomunikasi |
| Depositing User: | Sahat Parulian |
| Date Deposited: | 27 Aug 2024 07:29 |
| Last Modified: | 27 Aug 2024 07:29 |
| URI: | http://repository.upi.edu/id/eprint/121192 |
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