Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)
Mahardhika, Daffa Surya
Unknown Affiliation
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Implementation of Clusters Utilizing Resources Through High-Performance Computing Mahardhika, Daffa Surya; Setiyadi, Angga
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 5 No. 2 (2024): INJIISCOM: VOLUME 5, ISSUE 2, DECEMBER 2024
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The growing data volumes due to technological advancements and digitalization challenge single computing systems in terms of scalability. These systems often struggle with increasing workloads, leading to reduced performance and processing limitations. Additionally, electronic waste (e-waste) is a rising concern, as many functional computers are underutilized, contributing to environmental issues. This study proposes the use of cluster computing and High-Performance Computing (HPC) as solutions. Cluster computing aggregates computational power across multiple nodes to enhance capacity, while HPC optimizes performance for tasks requiring extensive data processing. Through a systematic approach focused on implementing PelicanHPC, the research demonstrates that cluster computing and HPC improve scalability and performance, particularly in Virtual Machines (VMs), and promote more efficient resource management. These solutions also help reduce environmental impact and cost inefficiencies. However, tests reveal that cluster performance remains suboptimal compared to physical computers, primarily due to network and hardware limitations. Future improvements should focus on enhancing hardware, network infrastructure, and software optimization
Co-Authors Setiyadi, Angga