scholarly journals A Systematic Mapping Study in Cloud for Educational Innovation

2020 ◽  
Vol 10 (13) ◽  
pp. 4531
Author(s):  
Michele Scalera ◽  
Enrica Gentile ◽  
Paola Plantamura ◽  
Giovanni Dimauro
Keyword(s):  
Cloud Computing ◽  
Empirical Research ◽  
Digital Libraries ◽  
Educational Innovation ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Systematic Mapping ◽  
Educational Environments ◽  
Virtual Laboratories ◽  
Collaboration Platforms

For some years now there has been a growing use of cloud computing technologies in education. This paper reports a systematic mapping study (SMS) about the interest in the innovation of methods, techniques, and tools applied to teaching activities based on the use of cloud computing. The SMS presented here was designed using a consolidated, reliable, rigorous methodology and implemented in a replicable and verifiable manner. The process adopted is based on the selection of papers in accredited online digital libraries. This research made it possible to identify and analyze the empirical evidence in relation to the use of cloud computing in education with the aim of identifying both the main topics currently shared by researchers and the less explored areas to be integrated into a research agenda. The results show that only 17% of the 940 works examined report empirical research about the innovation introduced in educational environments of all levels and degrees by the cloud. The results also show that the type of method most widely used was that of feedback. The areas that have attracted the most interest from the research community are those of the new learning environment, collaboration platforms, and virtual laboratories. However, since the same areas are less supported by empirical research than others, we believe that these should be more closely monitored by the scientific community.

On the interplay of Internet of Things and Cloud Computing: A systematic mapping study

2016 ◽  
Vol 89-90 ◽  
pp. 17-33 ◽  
Author(s):  
Everton Cavalcante ◽  
Jorge Pereira ◽  
Marcelo Pitanga Alves ◽  
Pedro Maia ◽  
Roniceli Moura ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Systematic Mapping

Empirical research on concurrent software testing: A systematic mapping study

2019 ◽  
Vol 105 ◽  
pp. 226-251 ◽  
Author(s):  
Silvana M. Melo ◽  
Jeffrey C. Carver ◽  
Paulo S.L. Souza ◽  
Simone R.S. Souza
Keyword(s):  
Software Testing ◽  
Empirical Research ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Concurrent Software ◽  
Systematic Mapping

scholarly journals BIG HEALTH DATA: A SYSTEMATIC MAPPING STUDY

2019 ◽  
Vol XLII-4/W12 ◽  
pp. 113-119
Author(s):  
S. Lbrini ◽  
A. Fadil ◽  
H. Rhinane ◽  
H. J. Oulidi
Keyword(s):  
Remote Sensing ◽  
Big Data ◽  
Real Time ◽  
Digital Libraries ◽  
Research Area ◽  
Health Data ◽  
Systematic Mapping Study ◽  
Data Systems ◽  
Mapping Study ◽  
Systematic Mapping

<p><strong>Abstract.</strong> The Big Data, a result of the digital revolution, offers several opportunities in the field of health. Indeed, appliances and applications permanently connected to humans and the global digitalization of medical documents produce a vast health data: "Big Health Data". This data is the subject of several projects in the world given the opportunities offered to optimize this area. This paper focuses on quantifying the production of scientific articles about Big Health Data research and the most investigated Big Health Data topics. It also presents a mapping of countries producing articles about this subject. In remote sensing using real time categories, we aimed to quantify articles dealing with “big data architectures”, technologies and data sources used. A systematic mapping study was conducted with a set of seven research questions by investigating articles from two digital libraries: Scopus and Springer. The study concern articles published in 2017 and the first half of 2018. The results are illustrated by diagrams answering each question from which a set of recommendations are concluded in this area of research. The study shows that this Data is used the most in studies of oncology. Statistics show that while remote sensing and monitoring is a hot topic, real-time use is not as interesting. It was found that there’s a lack in studies interested in big data technologies used in real time remote sensing in the field of health. In conclusion, we recommend more focus on research area treating architecture in remote sensing real time Big Health Data systems combined with geolocation.</p>

scholarly journals A systematic mapping study of security, trust and privacy in clouds

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Isaac Odun-Ayo ◽  
Toro-Abasi Williams ◽  
Jamaiah Yahaya
Keyword(s):  
Cloud Computing ◽  
Evaluation Research ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Systematic Mapping ◽  
Cloud Computing Security ◽  
Mapping Process ◽  
Validation Research ◽  
The Relationship ◽  
Privacy Issues

Cloud computing thrives around trust and security in the relationship between cloud providers and users of their services. The objective was the conduct of a systematic mapping study of cloud computing security, trust and privacy. The research was executed using three classes of facets, namely topic, contribution, and research based on the systematic mapping process. The result shows that privacy issues and challenges on metric had 4.76% of the publications. On cloud trust in the domain of tool, the publications were 8.75%. The publications on design within the domain of model stood at 12.38%, and publications on privacy issues and challenges in the area of process were 8.57%. Furthermore, there were more articles published on privacy issues and challenges within the domain of evaluation research with 10.43%. The publications on design based on validation research made up 7.83% of the study. More papers were also published on frameworks and techniques within the domain of solution research with 5.22% each. There were more articles published on privacy issues and challenges with regards to philosophical research with 4.35%. Shortcomings in the fields of security, trust and privacy in the cloud, were identified through this study, which should motivate further research. 

scholarly journals Cloud Network Slicing: A systematic mapping study  from scientific publications

2020 ◽  
Author(s):  
Leandro Almeida ◽  
Paulo Ditarso Maciel ◽  
Fabio Luciano Verdi
Keyword(s):  
Cloud Computing ◽  
Quantitative Analysis ◽  
Research Area ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Systematic Mapping ◽  
Scientific Publications ◽  
Network Slicing ◽  
New Research ◽  
Cloud Network

Abstract Cloud Network Slicing is a new research area that brings together cloud computing and network slicing in an end-to-end environment. In this context, understanding the existing scientific contributions and gaps is crucial to driving new research in this field. This article presents a complete quantitative analysis of scientific publications on the Cloud Network Slicing, based on a systematic mapping study. The results indicate the situation of the last ten years in the research area, presenting data such as industry involvement, most cited articles, most active researchers, publications over the years, main places of publication, as well as well-developed areas and gaps. Future guidelines for scientific research are also discussed.

scholarly journals Cloud Computing for Education: A Systematic Mapping Study

2018 ◽  
Vol 61 (3) ◽  
pp. 234-244 ◽  
Author(s):  
Maria Teresa Baldassarre ◽  
Danilo Caivano ◽  
Giovanni Dimauro ◽  
Enrica Gentile ◽  
Giuseppe Visaggio
Keyword(s):  
Cloud Computing ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Systematic Mapping
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