scholarly journals Trust and Continuous Deployment of Cloud Computing: A Quantitative Analysis

2018 ◽  
Vol 6 (2) ◽  
pp. 69-74
Author(s):  
Kunle Elebute
Keyword(s):  
Cloud Computing ◽  
Quantitative Analysis

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 Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 672
Author(s):  
Quadri Waseem ◽  
Wan Isni Sofiah Wan Din ◽  
Sultan S. Alshamrani ◽  
Abdullah Alharbi ◽  
Amril Nazir
Keyword(s):  
Cloud Computing ◽  
Performance Evaluation ◽  
Quantitative Analysis ◽  
Performance Indicator ◽  
Data Replication ◽  
Future Research ◽  
Dynamic Data ◽  
Advantages And Disadvantages ◽  
Dynamic Data Replication ◽  
And Performance

Data replications effectively replicate the same data to various multiple locations to accomplish the objective of zero loss of information in case of failures without any downtown. Dynamic data replication strategies (providing run time location of replicas) in clouds should optimize the key performance indicator parameters, like response time, reliability, availability, scalability, cost, availability, performance, etc. To fulfill these objectives, various state-of-the-art dynamic data replication strategies has been proposed, based on several criteria and reported in the literature along with advantages and disadvantages. This paper provides a quantitative analysis and performance evaluation of target-oriented replication strategies based on target objectives. In this paper, we will try to find out which target objective is most addressed, which are average addressed, and which are least addressed in target-oriented replication strategies. The paper also includes a detailed discussion about the challenges, issues, and future research directions. This comprehensive analysis and performance evaluation based-work will open a new door for researchers in the field of cloud computing and will be helpful for further development of cloud-based dynamic data replication strategies to develop a technique that will address all attributes (Target Objectives) effectively in one replication strategy.

scholarly journals Application of Cloud Computing and Information Fusion Technology in Green Investment Evaluation System

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Pengwu Wang
Keyword(s):  
Cloud Computing ◽  
Quantitative Analysis ◽  
Information Fusion ◽  
Evaluation System ◽  
Qualitative And Quantitative Analysis ◽  
Fusion Technology ◽  
Energy Investment ◽  
Qualitative And Quantitative ◽  
Investment Evaluation ◽  
Green Investment

As an important part of the development of green economy, the green investment evaluation system provides a method to identify the performance of the investment environment and also guides the design of green investment plans. This article is aimed at analyzing the application of cloud computing and information fusion technology in the green investment evaluation system, using empirical analysis, qualitative and quantitative analysis, data integration, and distributed computing algorithms to carry out research. Data acquisition is mainly through cloud platform information fusion, to evaluate the investment subject, investment object, and investment vehicle of green investment. Qualitative and quantitative analysis is mainly through the definition of prerequisites by stipulating certain aspects of green, and the analysis of the country’s data changes in a certain time zone. Focus on the qualitative analysis and research on the green benefit attributes of a certain thing. In addition, by analyzing the influencing factors of the investment development status of green industries in different countries, such as green products, green projects, and green funds, it proves that the application of cloud computing and information fusion technology has a huge effect on the green investment evaluation system. Experimental data shows that in the past five years, investment in fixed assets in my country’s major industries accounted for the proportion of fixed asset investment in the whole society, and investment in environmental protection and energy supply industries has continued to rise. This upward trend is manifested in the fact that the amount of energy investment is increasing year by year. The development trend is the strongest during the development period and the entry period, and its data grows the most rapidly, while investment in the transportation industry has always been listed in the tables. For the first place in the industry, the highest was 20.84%.

scholarly journals A quantitative analysis of current security concerns and solutions for cloud computing

2012 ◽  
Vol 1 (1) ◽  
pp. 11 ◽  
Author(s):  
Nelson Gonzalez ◽  
Charles Miers ◽  
Fernando Redígolo ◽  
Marcos Simplício ◽  
Tereza Carvalho ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Quantitative Analysis ◽  
Security Concerns

scholarly journals A Quantitative Analysis of Current Security Concerns and Solutions for Cloud Computing

2011 ◽  
Author(s):  
Nelson Gonzalez ◽  
Charles Miers ◽  
Fernando Redigolo ◽  
Tereza Carvalho ◽  
Marcos Simplicio ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Quantitative Analysis ◽  
Security Concerns
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