Evaluation Test and Improvement of Load Balancing Algorithms of Nginx

Ma, Chen; Chi, Yuhong

doi:10.1109/access.2022.3146422

Cited by 15 publications

(5 citation statements)

References 24 publications

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“…AMTDB is deployed on a Linux server and integrates the collated valid data into a MySQL database. We adopted a lightweight Web server (Ngnix version 1.8.1) that alleviates memory pressure and supports responses up to 50,000 concurrent connections ( Ma and Chi, 2022 ). In addition, the Django (version 3.2.13) framework, written in Python, is used to render the Graphical User Interface.…”

Section: Methodsmentioning

confidence: 99%

AMTDB: A comprehensive database of autophagic modulators for anti-tumor drug discovery

et al. 2022

Front. Pharmacol.

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Autophagy, originally described as a mechanism for intracellular waste disposal and recovery, has been becoming a crucial biological process closely related to many types of human tumors, including breast cancer, osteosarcoma, glioma, etc., suggesting that intervention of autophagy is a promising therapeutic strategy for cancer drug development. Therefore, a high-quality database is crucial for unraveling the complicated relationship between autophagy and human cancers, elucidating the crosstalk between the key autophagic pathways, and autophagic modulators with their remarkable antitumor activities. To achieve this goal, a comprehensive database of autophagic modulators (AMTDB) was developed. AMTDB focuses on 153 cancer types, 1,153 autophagic regulators, 860 targets, and 2,046 mechanisms/signaling pathways. In addition, a variety of classification methods, advanced retrieval, and target prediction functions are provided exclusively to cater to the different demands of users. Collectively, AMTDB is expected to serve as a powerful online resource to provide a new clue for the discovery of more candidate cancer drugs.

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Section: Methodsmentioning

confidence: 99%

AMTDB: A comprehensive database of autophagic modulators for anti-tumor drug discovery

et al. 2022

Front. Pharmacol.

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“…Dengan menggunakan sumber daya sistem yang efisien, Nginx dapat menyediakan konten statis dengan cepat dan dapat menyebarkan konten HTTP secara dinamis di jaringan [8] [9]. Selain itu dengan mengubah profilnya, Nginx dapat mengirimkan permintaan untuk menghubungkan server yang paling mampu pada node cluster yang digunakan [10].…”

Section: A Pendahuluanunclassified

“…Gambar 2. Prinsip Load balancing [10] Seperti yang ditunjukan pada Gambar 2 klien meminta akses data terlebih dahulu pada server proxy dan kemudian server proxy akan memilih server back-end mana yang sesuai kapasitasnya. Kemudian server back-end akan meneruskan data yang diminta oleh pengguna kembali kepada klien.…”

Section: Perancangan Topologiunclassified

“…Gambar 3. Metode Algoritma Weighted Round Robin [10] c. Algoritma Weighted Least Connection Perancangan sistem yang dilakukan adalah akan digunakan sebagai panduan dalam pembuatan sistem load balancing algoritma Weighted Least Connection. Sama seperti rancangan sebelumnya Ketika pengguna mengakses server, penyeimbang beban dapat menggunakan algoritma untuk menentukan bobot pada masing-masing server yang akan membantu mengurangi terjadinya kelebihan beban.…”

Section: Perancangan Topologiunclassified

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Analisis Kinerja Algoritme WRR dengan WLC pada Load Balancing Nginx

Baeturohman,

Banu Santoso

2024

ijcs

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Semakin meningkatnya pengunjung website mengakibatkan web server menjadi sibuk merespons permintaan klien. Untuk mengatasi masalah kelebihan beban, penggunaan load balancing menjadi solusi yang efektif. Nginx merupakan aplikasi web server memiliki keunggulan sebagai perangkat lunak sumber terbuka, ringan, dan berkinerja tinggi sebagai HTTP dan reverse proxy. Dalam konteks ini, algoritma penjadwalan menjadi penting untuk menyeimbangkan beban Algoritma penjadwalan seperti Weighted Round Robin (WRR) dan Weighted Least Connection (WLC) menjadi pilihan yang relevan. Pengujian dilakukan dengan mengirimkan 1000, 2000, dan 5000 permintaan dengan bobot server 10:15:20, analisis throughput menunjukkan bahwa algoritma WLC lebih unggul daripada algoritma WRR. WLC mencapai waktu throughput terbaik dengan nilai 108.988 Kbits/sec. Parameter respon time menunjukkan bahwa algoritma WRR memiliki kinerja lebih baik, dengan waktu rata-rata respon sebesar 2.761ms. Untuk parameter packet loss, algoritma WRR juga menunjukkan hasil yang lebih baik, dengan rata-rata nilai packet loss sebesar 56%.

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“…A comparison between CPU load (%), RAM(MB), and heat(oC) between raspberry pi three and zero is shown in Table 3. The test is carried out based on three aspects: web server (Nginx) [17], use of RFID, and load cell. The web server runs continuously if it is on.…”

Section: Computational Comparisonmentioning

confidence: 99%

IoT-Based Smart Village Transaction System Using RFID and Load Cell Modules

Ahmadi¹,

Wedashwara²,

Puspita³

et al. 2022

Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and

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MSMEs (Micro, Small and Medium Enterprises) in the village play an essential role in improving the welfare of business owners and consumers. MSMEs in the village meet the living needs of the villagers. Research is developing an IoT-based smart village transaction system using RFID and load cell modules. The research aims to simplify transactions in the village environment, which is unique to its agricultural and livestock businesses. The system was developed using a raspberry pi, the web server. RFID is used to record transactions made by villagers by scanning their resident cards. Load Cell records the number of transactions for products measured by weight, such as agricultural and livestock products. The system prioritizes user interaction by scanning the RFID card of the transaction actor, product representation, and product weight. The system is tested using black-box testing, producing valid results for hardware and software. System performance evaluation was carried out by comparing the performance of the raspberry pi 3 with 76,789% CPU, 47.67MB RAM, 54.69C heat, and raspberry pi zero with 82.679% CPU, 102.78MB RAM, and 49.78 heat. The system is also calibrated and compared to regular scales and produces a slight difference with the tested load, an average of 1,440 g. The electrical system was also tested and resulted in low average electricity consumption, namely a voltage reduction of 0.044v for the raspberry pi three and 0.022v for the raspberry pi zero, so that it is suitable to be applied portable and in rural areas with limited electricity.

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Evaluation Test and Improvement of Load Balancing Algorithms of Nginx

Cited by 15 publications

References 24 publications

AMTDB: A comprehensive database of autophagic modulators for anti-tumor drug discovery

AMTDB: A comprehensive database of autophagic modulators for anti-tumor drug discovery

Analisis Kinerja Algoritme WRR dengan WLC pada Load Balancing Nginx

IoT-Based Smart Village Transaction System Using RFID and Load Cell Modules

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