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A Systematic Mapping Study of Innovative Cloud Applications
Author(s) -
Isaac Odun-Ayo,
T.M. Williams,
Olamma Iheanetu,
Modupe Odusami,
Sherenne Bogle
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/811/1/012034
Subject(s) - cloud computing , software deployment , computer science , automotive industry , process (computing) , architecture , relation (database) , software , metamodeling , service (business) , software engineering , systematic review , data science , service oriented architecture , work (physics) , knowledge management , process management , engineering management , engineering , world wide web , web service , database , business , mechanical engineering , art , medline , marketing , law , political science , visual arts , programming language , aerospace engineering , operating system
Cloud computing is a business paradigm wherein computers and computing related services are provided by Cloud Service Providers to consumers either as software, development platform, or infrastructure. Innovative applications are growing in a productive manner on the cloud landscape. Innovative applications are being developed for use in the area of e-learning, automotive processes, cloud containers and machine learning. The objective of this paper is to conduct a systematic mapping study of innovative cloud applications and experiences. The systematic map provided a structured overview of research work carried out and the frequency of publications, presenting them pictorially in form of a map. The obtained results showed that 7.34% of the publications were on development of innovative cloud applications in terms of model. Architecture and modelling, and simulation in relation to model were both at 13.76%, 11.93% of the papers respectively, while 8.26% of the articles were on deployment in terms of process. Architecture had most publication in the area of solution research, with 15.2%. For articles published on deployment and development, most were on solution research with 8.80% and 14.40% respectively. The outcome of this study will be beneficial to practitioners in the industry and academic researchers alike.

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