A systematic mapping study of performance analysis and modelling of cloud systems and applications

Isaac Odun-Ayo, Toro-Abasi Williams, Modupe Odusami, Jamaiah Yahaya

Abstract


Cloud computing is a paradigm that uses utility-driven models in providing dynamic services to clients at all levels. Performance analysis and modelling is essential because of service level agreement guarantees. Studies on performance analysis and modelling are increasing in a productive manner on the cloud landscape on issues like virtual machines and data storage. Despite this, there is still a dearth of publications in this field of study. The objective of this study is to conduct a systematic mapping study of performance analysis and modelling of cloud systems and applications. A systematic mapping study is useful in visualization and summarizing the research carried in an area of interest. The systematic study provided an overview of studies on this subject by using a structure, based on categorization. A review of relevant high impact literature was used for the systematic mapping process. The results are presented in terms of research such as evaluation and solution, and contribution such as tools and method utilized. The results showed that there were more discussions on optimization in relation to tool, method and process with 6.42%, 14.29% and 7.62% respectively. In addition, analysis based on designs in terms of model had 14.29% and publication relating to optimization in terms of evaluation research had 9.77%, validation 7.52%, experience 3.01%, and solution 10.51%. Research gaps have been identified and should motivate researchers in pursuing further research directions.

Keywords


cloud applications; cloud computing; performance analysis; performance modelling; systematic mapping;



DOI: http://doi.org/10.11591/ijece.v11i2.pp%25p
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ISSN 2088-8708, e-ISSN 2722-2578