Abstract
Cloud computing is a service paradigm that provides infrastructure to users from a CSP and allows self-service. There are primarily 3 types of services offered by the cloud namely: Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS). In addition, there are four cloud architectural models which are the private, public, community and Hybrid clouds. The cloud has ability to run in autonomic models, it is also very adaptive and has various provisions for monitoring. Self-service and service level agreements (SLA) provide the enabling environment for smooth cloud operations. A systematic mapping study provides a structural survey into a research area or field of interest. It is possible to map frequencies of activities in such an area using a scheme and results are presented pictorially. The objective of this paper is to conduct a systematic mapping study of cloud management, monitoring, autonomic, adaptive, SLA and self-service. Three facets were applied in conducting the categorization. These are the research, contribution and topic facets. The purpose was to determine the level of work so far carried out in the area of cloud computing management. This enabled the creation of a pictorial representation of the research coverage. Papers published in peer-reviewed journals and reputable magazines were utilized for the review. The result of the study showed that there are no opinion research on cloud management. Generally, articles on validation, philosophical and evaluation research are the lowest.

Keywords
Cloud computing, cloud management, autonomic, adaptive, SLA, monitoring, self-services

Cite this paper
ODUN-AYO Isaac, GODDY-WORLU Rowland, SAMUEL Victoria, A Systematic Mapping Study of Cloud Management: Autonomic, Adaptive, SLAs, and Monitoring , SCIREA Journal of Computer. Volume 3, Issue 2, April 2018 | PP. 31-42.

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