A rough set-based hypergraph trust measure parameter selection technique for cloud service selection

2017 ◽  
Vol 73 (10) ◽  
pp. 4535-4559 ◽  
Author(s):  
Nivethitha Somu ◽  
Kannan Kirthivasan ◽  
V. S. Shankar Sriram
Keyword(s):  
Rough Set ◽  
Service Selection ◽  
Cloud Service ◽  
Parameter Selection ◽  
Selection Technique ◽  
Trust Measure

scholarly journals Eagle Techniques in Cloud Computational Formulation

2019 ◽  
Vol 8 (9S) ◽  
pp. 422-429
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Resource Sharing ◽  
Rough Set Theory ◽  
Service Providers ◽  
Service Selection ◽  
Cloud Service ◽  
End Users ◽  
Service Improvement ◽  
Major Drawback

The eagle expresses of cloud computing plays a pivotal role in the development of technology. In this computing world everyone is active so the end users and providers use various applications which are working as a broker for providing and managing the services. The aim of the paper is to solve the problems in such a way that brokers will provide an optimized solution for cloud service providers and the end users. The key role of allocating the efficient resources by making the algorithm which works for the time and cost optimization keeping in consideration of its quality of services and characteristics. These both are affecting the performance of these techniques is a major drawback due to low accuracy and large computational complexity of the algorithms. As per the scenario, the approach of the research is based on the rough set theory (RST). It’s a strategy to found the information revelation and handle the issues like number of parameters (Virtualization, resource sharing, cloud standardization etc). The rough set theory is the new method in cloud service selection so that the best services to provide for cloud users and efficient service improvement for cloud providers.

An improved rough set approach for optimal trust measure parameter selection in cloud environments

2019 ◽  
Vol 23 (22) ◽  
pp. 11979-11999 ◽  
Author(s):  
Somu Nivethitha ◽  
M. R. Gauthama Raman ◽  
Obulaporam Gireesha ◽  
Krithivasan Kannan ◽  
V. S. Shankar Sriram
Keyword(s):  
Rough Set ◽  
Parameter Selection ◽  
Cloud Environments ◽  
Trust Measure

An improved robust heteroscedastic probabilistic neural network based trust prediction approach for cloud service selection

2018 ◽  
Vol 108 ◽  
pp. 339-354 ◽  
Author(s):  
Nivethitha Somu ◽  
Gauthama Raman M.R. ◽  
Kalpana V. ◽  
Kannan Kirthivasan ◽  
Shankar Sriram V.S.
Keyword(s):  
Neural Network ◽  
Probabilistic Neural Network ◽  
Service Selection ◽  
Cloud Service ◽  
Trust Prediction ◽  
Prediction Approach
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