scholarly journals Challenges of Infrastructure in Cloud Computing for Education Field: A Systemmatic Literature Review

2021 ◽  
Author(s):  
Nurma Wigati ◽  
Ari Wibisono ◽  
Achmad Hidayanto
Keyword(s):  
Cloud Computing ◽  
Literature Review ◽  
Education Field

Trends and Opportunities in Health Analytics as a Service and Implications for Use in Low Resource Settings: A Literature Review Abstract (Preprint)

2019 ◽  
Author(s):  
Meghana Bastwadkar ◽  
Carolyn McGregor ◽  
S Balaji
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Intensive Care ◽  
Literature Review ◽  
Health Monitoring ◽  
Data Analytics ◽  
Neonatal Intensive Care ◽  
Big Data Analytics ◽  
Healthcare Facilities

BACKGROUND This paper presents a systematic literature review of existing remote health monitoring systems with special reference to neonatal intensive care (NICU). Articles on NICU clinical decision support systems (CDSSs) which used cloud computing and big data analytics were surveyed. OBJECTIVE The aim of this study is to review technologies used to provide NICU CDSS. The literature review highlights the gaps within frameworks providing HAaaS paradigm for big data analytics METHODS Literature searches were performed in Google Scholar, IEEE Digital Library, JMIR Medical Informatics, JMIR Human Factors and JMIR mHealth and only English articles published on and after 2015 were included. The overall search strategy was to retrieve articles that included terms that were related to “health analytics” and “as a service” or “internet of things” / ”IoT” and “neonatal intensive care unit” / ”NICU”. Title and abstracts were reviewed to assess relevance. RESULTS In total, 17 full papers met all criteria and were selected for full review. Results showed that in most cases bedside medical devices like pulse oximeters have been used as the sensor device. Results revealed a great diversity in data acquisition techniques used however in most cases the same physiological data (heart rate, respiratory rate, blood pressure, blood oxygen saturation) was acquired. Results obtained have shown that in most cases data analytics involved data mining classification techniques, fuzzy logic-NICU decision support systems (DSS) etc where as big data analytics involving Artemis cloud data analysis have used CRISP-TDM and STDM temporal data mining technique to support clinical research studies. In most scenarios both real-time and retrospective analytics have been performed. Results reveal that most of the research study has been performed within small and medium sized urban hospitals so there is wide scope for research within rural and remote hospitals with NICU set ups. Results have shown creating a HAaaS approach where data acquisition and data analytics are not tightly coupled remains an open research area. Reviewed articles have described architecture and base technologies for neonatal health monitoring with an IoT approach. CONCLUSIONS The current work supports implementation of the expanded Artemis cloud as a commercial offering to healthcare facilities in Canada and worldwide to provide cloud computing services to critical care. However, no work till date has been completed for low resource setting environment within healthcare facilities in India which results in scope for research. It is observed that all the big data analytics frameworks which have been reviewed in this study have tight coupling of components within the framework, so there is a need for a framework with functional decoupling of components.

Improving latency in Internet-of-Things and cloud computing for real-time data transmission: a systematic literature review (SLR)

2021 ◽  
Author(s):  
Saurabh Shukla ◽  
Mohd. Fadzil Hassan ◽  
Duc Chung Tran ◽  
Rehan Akbar ◽  
Irving Vitra Paputungan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Literature Review ◽  
Real Time ◽  
Systematic Literature Review ◽  
Data Transmission ◽  
Time Data ◽  
Real Time Data

scholarly journals Challenges And Practices Identification Via A Systematic Literature Review In The Adoption Of Green Cloud Computing: Client’s Side Approach

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ashfaq Ahmad ◽  
Siffat Ullah Khan ◽  
Habib Ullah Khan ◽  
Ghulam Murtaza Khan ◽  
Muhammad Ilyas
Keyword(s):  
Cloud Computing ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Green Cloud Computing ◽  
Green Cloud
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