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Cloud designs and deployment models: a systematic mapping study.
Isaac Odun-Ayo1, Rowland Goddy-Worlu2, Victoria Samuel2
1Department of Computer and Information Sciences, Covenant University, Ota, Nigeria. isaac.odun-ayo@covenantuniversity.edu.ng.
BMC Research Notes
|July 21, 2019
Summary
This study mapped cloud computing design and deployment models, finding most research focused on solution proposals. These findings offer insights for future academic and industry cloud research.
Area of Science:
- Computer Science
- Software Engineering
Background:
- Cloud computing offers on-demand, pay-per-use resource aggregation from providers.
- Cloud federation integrates multiple cloud models, while cloud aggregators combine various computing services.
- Systematic mapping studies provide field overviews and identify research gaps.
Purpose of the Study:
- To systematically map cloud computing design and deployment models.
- To analyze core aspects using research, contribution, and topic facets.
Main Methods:
- Systematic mapping study.
- Examination of research, contribution, and topic facets of cloud models.
Main Results:
- Solution proposals dominated publications on cloud design and deployment models (41.98%).
- Specific areas within solution proposals included design (9.92%), service deployment (11.45%), implementation (7.63%), configuration (6.11%), security (5.34%), and privacy (1.5%).
Conclusions:
- The study provides a comprehensive overview of existing research on cloud design and deployment models.
- Results will guide future academic and industrial research in cloud computing.
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