Service selection using multi-criteria decision making: a comprehensive overview
The growing number of services that can meet the users' functional requirements, inspired
many researchers to provide some approaches to rank and select the best possible services …
many researchers to provide some approaches to rank and select the best possible services …
A taxonomy of quality metrics for cloud services
A large number of metrics with which to assess the quality of cloud services have been
proposed over the last years. However, this knowledge is still dispersed, and stakeholders …
proposed over the last years. However, this knowledge is still dispersed, and stakeholders …
CCS-OSSR: a framework based on hybrid MCDM for optimal service selection and ranking of cloud computing services
With the exponential proliferation of cloud services, the decision of trustworthy cloud service
selection has become tremendously challenging nowadays. It demands an accurate …
selection has become tremendously challenging nowadays. It demands an accurate …
A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning
Employee churn (ECn) is a crucial problem for any organization that adversely affects its
overall revenue and brand image. Many machine learning (ML) based systems have been …
overall revenue and brand image. Many machine learning (ML) based systems have been …
A survey on microservices trust models for open systems
The microservices architecture (MSA) is a form of distributed systems architecture that has
been widely adopted in large-scale software systems in recent years. As with other …
been widely adopted in large-scale software systems in recent years. As with other …
[HTML][HTML] Analysis of the air quality and the effect of governance policies in China's Pearl River Delta, 2015–2018
The evaluation of China's air pollution and the effectiveness of its governance policies is
currently a topic of general concern in the academic community. We have improved the …
currently a topic of general concern in the academic community. We have improved the …
Trustworthiness prediction of cloud services based on selective neural network ensemble learning
Cloud services have become a popular and flexible solution for providing components to
build service-based systems. A component's trustworthiness is a key measure that can guide …
build service-based systems. A component's trustworthiness is a key measure that can guide …
A multidimensional trust evaluation framework for online social networks based on machine learning
X Chen, Y Yuan, L Lu, J Yang - IEEE Access, 2019 - ieeexplore.ieee.org
Due to the openness of online social networks (OSNs), they have become the most popular
platforms for people to communicate with others in the expectation of sharing their opinions …
platforms for people to communicate with others in the expectation of sharing their opinions …
A comparative analysis of prominently used MCDM methods in cloud environment
Incloud computing, the selection of an efficient multi-criteria decision-making (MCDM)
method (with minimum time complexity and maximum robustness) is a challenging and …
method (with minimum time complexity and maximum robustness) is a challenging and …
A multi-attribute decision making approach for on-demand charging scheduling in wireless rechargeable sensor networks
Mobile charging in wireless rechargeable sensor networks is a well-referenced research
problem. Numerous studies have been carried out to determine an efficient charging …
problem. Numerous studies have been carried out to determine an efficient charging …