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All Journal Scan : Jurnal Teknologi Informasi dan Komunikasi Telematika : Jurnal Informatika dan Teknologi Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Sains dan Informatika SINTECH (Science and Information Technology) Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Mantik Ngabdimas : Pengabdian Pada Masyarakat Jurnal Krisnadana Jurnal Pengabdian Informatika (JUPITA) Jurnal Krisnadana Journal of Social Work and Empowerment Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
I Putu Susila Handika
Institut Bisnis Dan Teknologi Indonesia
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Jurnal RESISTOR (Rekayasa Sistem Komputer)

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ANALISIS UTILISASI RESOURCE CLUSTERS PADA HADOOP MENGGUNAKAN VIRTUALIZATION I Kadek Susila Satwika; I Putu Susila Handika; Made Hanindia Prami Swari
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 5 No. 1 (2022): Jurnal RESISTOR Edisi April 2022
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v5i1.1088

Abstract

Large amounts of data processing necessitate the use of a dependable infrastructure. Using clustering technology in Big Data processing is a solution for faster processing times. This study evaluated the performance of the Hadoop server using virtualization technology. A varying number of query requests are sent to Hadoop server clusters at the same time. Then, the CPU and memory (RAM) utilization was calculated. According to the test results, the CPU usage on the namenode reached 100% at the start of the process, followed by an increase in CPU usage on the datanode the next time. Meanwhile, the namenode uses the most memory when it receives 25 requests at once. This demonstrates that the namenode can only serve a maximum of 25 requests at the same time.
Co-Authors Asana, I Made Dwi Putra Aulia Iefan Datya Christina Purnama Yanti Gede Aldhi Pradana Gede Bagus Arya Tama I Gede Totok Suryawan I Gusti Agung Ayu Ari Satyawati I Kadek Susila Satwika I Kadek Susila Satwika I Ketut Setiawan I Nyoman Buda Hartawan I Nyoman Widhi Adnyana I Nyoman Widhi Adnyana I Putu Agus Wibawa Komang Kurniawan Widiartha Made Dona Wahyu Aristana Made Hanindia Prami Swari Made Suci Ariantini Maulana, Hendra Ni Putu Dita Ariani Sukma Dewi Ni Putu Mega Krisnayanti Prastyadi Wibawa Rahayu Putra, Chrystia Aji Putu Praba Santika Putu Praba Santika Rizkita Ayu Mutiarani Santi Ika Murpratiwi Satwika, I Kadek Susila Welda