Systematic Mapping Study: Research Opportunities on Capacity Planning
Dublin Core
Title
Systematic Mapping Study: Research Opportunities on Capacity Planning
Subject
capacity planning; review; systematic mapping study
Description
The central idea of the research is to enhance the efficiency and sustainability of data centers by implementing accurate capacity
planning, which will also improve their performance and availability. Various literature reviews have been conducted to
understand the current status of capacity planning implementation across different domains and perspectives. However, a more
organized and systematic approach is required to map research and implementation outcomes in the relevant areas of capacity
planning that have the potential for further development. The present study is aimed at filling this gap by conducting a
systematic mapping study, which combines both quantitative and qualitative methodologies. The quantitative approach
involved the collection of literature and topic classification using the Latent Dirichlet Allocation (LDA) method. In contrast,
the qualitative approach utilized content analysis to identify future research directions based on keyword trends and topics. The
PRISMA framework was followed to guide the search for relevant studies in electronic research literature databases. The
mapping results revealed 15 topics, with topics 8, 10, 11, and 15 showing significant potential for further research and exhibiting
increasing trends. The identified topics encompass capacity planning, energy and resource management, computing and
technology, data analysis and statistics, engineering, and industry, all crucial for businesses and industries to operate efficiently
and sustainably. This study provides a comprehensive overview of the state of capacity planning implementation and highlights
areas that require further investigation.
planning, which will also improve their performance and availability. Various literature reviews have been conducted to
understand the current status of capacity planning implementation across different domains and perspectives. However, a more
organized and systematic approach is required to map research and implementation outcomes in the relevant areas of capacity
planning that have the potential for further development. The present study is aimed at filling this gap by conducting a
systematic mapping study, which combines both quantitative and qualitative methodologies. The quantitative approach
involved the collection of literature and topic classification using the Latent Dirichlet Allocation (LDA) method. In contrast,
the qualitative approach utilized content analysis to identify future research directions based on keyword trends and topics. The
PRISMA framework was followed to guide the search for relevant studies in electronic research literature databases. The
mapping results revealed 15 topics, with topics 8, 10, 11, and 15 showing significant potential for further research and exhibiting
increasing trends. The identified topics encompass capacity planning, energy and resource management, computing and
technology, data analysis and statistics, engineering, and industry, all crucial for businesses and industries to operate efficiently
and sustainably. This study provides a comprehensive overview of the state of capacity planning implementation and highlights
areas that require further investigation.
Creator
Yuggo Afrianto, Rendy Munadi, Setyorini, Arief Goeritno
Source
http://jurnal.iaii.or.id
Publisher
Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association
Date
August 2023
Contributor
Sri Wahyuni
Rights
ISSN Media Electronic: 2580-0760
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Yuggo Afrianto, Rendy Munadi, Setyorini, Arief Goeritno, “Systematic Mapping Study: Research Opportunities on Capacity Planning,” Repository Horizon University Indonesia, accessed January 11, 2026, https://repository.horizon.ac.id/items/show/10026.