Systematic Mapping Study: Research Opportunities on Capacity Planning

Abstract

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.