Implementasi HALB dan Klaster MongoDB dengan Penyimpanan Cache Redis dalam Sistem Terdistribusi
DOI:
https://doi.org/10.26418/justin.v12i2.73413Keywords:
Basis Data, Cache, Klaster, Load Balancing, Server, TrafficAbstract
Dalam dunia teknologi informasi, sistem yang terdistribusi dan berskala besar sering mengalami masalah performa akibat tingginya beban traffic dan volume data. Kebutuhan akan akses internet yang semakin meningkat mengakibatkan peningkatan beban traffic pada server, dan jika jumlah traffic ke server terlalu tinggi, dapat menyebabkan kegagalan fungsi server (overload). Oleh karena itu, diperlukan upaya untuk meningkatkan performa sistem web server agar dapat menangani jumlah koneksi yang lebih besar. Salah satu metode yang dapat digunakan adalah load balancing. Dengan menggunakan teknik load balancing, beban kerja dibagi secara merata ke sejumlah server yang tergabung dalam satu cluster. Namun, masalah kelebihan beban juga dapat terjadi pada basis data akibat peningkatan volume data dan pengelolaan yang terpusat, mengakibatkan waktu respons yang lambat. Salah satu solusi yang dapat diterapkan adalah database clustering. Clustering merupakan teknik yang menggunakan beberapa server untuk mengelola data dalam jumlah besar dan membagi data di antara server-server tersebut. Hal ini dapat membantu meningkatkan kecepatan akses data dan mengurangi kemungkinan terjadinya waktu tidak tersedia (downtime) pada sistem. Untuk mengoptimalkan hal ini, caching juga dapat dilakukan. Caching merupakan teknik penyimpanan data yang sering diakses dalam memori untuk mengurangi waktu akses data yang lambat. Dengan menerapkan teknik-teknik ini, diharapkan performa sistem dapat ditingkatkan secara signifikan.
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