SYSTEMATIC LITERARTUR REVIEW DENGAN METODE PRISMA : MANAJEMEN MEMORI EFISIEN PADA SISTEM OPERASI LINUX

Optimal memory management is a critical aspect in maintaining the performance of Linux operating systems, especially when facing the challenges of modern computing architectures. This study applies the PRISMA approach to conduct a systematic literature review evaluating efficiency strategies in Linux kernel memory management. Through a rigorous selection of recent literature, four main relevant approaches were identified: distributed memory expansion (COMEX), NUMA-based allocation control, heterogeneous CPU-GPU memory management (HMM), and performance testing using the XSBench benchmark. These four techniques demonstrate effectiveness in reducing latency, improving resource utilization, and simplifying memory handling in large-scale systems. The findings make a significant contribution to the development of future adaptive memory policies and highlight the importance of collaboration between hardware design, the kernel, and applications.

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Publication Details

Journal
Melek IT Information Technology Journal
Published
2025-06-30
DOI
https://doi.org/10.30742/melekitjournal.v11i1.404
Primary Topic
Edcuational Technology Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

SYSTEMATIC LITERARTUR REVIEW DENGAN METODE PRISMA : MANAJEMEN MEMORI EFISIEN PADA SISTEM OPERASI LINUX

Rexy Putra Nur Laksana, Herbert Siregar
Melek IT Information Technology Journal
Edcuational Technology Systems
article

SYSTEMATIC LITERARTUR REVIEW DENGAN METODE PRISMA : MANAJEMEN MEMORI EFISIEN PADA SISTEM OPERASI LINUX

Rexy Putra Nur Laksana, Herbert Siregar
article en

Abstract

Optimal memory management is a critical aspect in maintaining the performance of Linux operating systems, especially when facing the challenges of modern computing architectures. This study applies the PRISMA approach to conduct a systematic literature review evaluating efficiency strategies in Linux kernel memory management. Through a rigorous selection of recent literature, four main relevant approaches were identified: distributed memory expansion (COMEX), NUMA-based allocation control, heterogeneous CPU-GPU memory management (HMM), and performance testing using the XSBench benchmark. These four techniques demonstrate effectiveness in reducing latency, improving resource utilization, and simplifying memory handling in large-scale systems. The findings make a significant contribution to the development of future adaptive memory policies and highlight the importance of collaboration between hardware design, the kernel, and applications.

Melek IT Information Technology JournalVol. 11(1)
Indonesia University of Education (ID)
Openalex Percentile: Top 91%
Edcuational Technology Systems
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SYSTEMATIC LITERARTUR REVIEW DENGAN METODE PRISMA : MANAJEMEN MEMORI EFISIEN PADA SISTEM OPERASI LINUX — Rexy Putra Nur Laksana, Herbert Siregar · Melek IT Information Technology Journal (2025) | TGRS Research Map | TGRS