ANALISIS DAN IMPLEMENTASI INFRASTRUKTUR KOMPUTASI AWAN BERBASIS WEB DENGAN PEMANFAATAN LOAD BALANCING DAN AUTO-SCALING PADA GOOGLE CLOUD PLATFORM

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.

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.
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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.

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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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