Cloud Service Scrutinization and Selection Framework (C3SF): A Novel Unified Approach to Cloud Service Selection with Consensus

2021 ◽  
Author(s):  
Abid Hussain ◽  
Jin Chun
Keyword(s):  
Service Selection ◽  
Cloud Service ◽  
Unified Approach ◽  
Selection Framework

A Robust and Efficient MCDM-Based Framework for Cloud Service Selection Using Modified TOPSIS

2021 ◽  
Vol 11 (1) ◽  
pp. 21-51
Author(s):  
Rohit Kumar Tiwari ◽  
Rakesh Kumar
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Service Selection ◽  
Cloud Service ◽  
Reversal Problem ◽  
Rank Reversal ◽  
Reversal Phenomenon ◽  
Optimal Service ◽  
Selection Framework ◽  
Cloud Users

Cloud computing has become a business model and organizations like Google, Amazon, etc. are investing huge capital on it. The availability of many organizations in the cloud has posed a challenge for cloud users to choose a best cloud service. To assist the cloud users, we have proposed a MCDM-based cloud service selection framework to choose a best service provider based on QoS requirement. The cloud service selection methods based on TOPSIS suffers from rank reversal problem as it ranks optimal service provider to non-optimal on addition or removal of a service provider and deludes the cloud user. Therefore, a robust and efficient TOPSIS (RE-TOPSIS)-based novel framework has been proposed to rank the cloud service providers using QoS provided by them and cloud user's priority for each QoS. The proposed framework is robust to rank reversal problem and its effectiveness has been demonstrated through a case study performed on a real dataset. Sensitivity analysis has also been performed to show the robustness against the rank reversal phenomenon.

Fuzzy cloud service selection framework

2014 ◽  
Author(s):  
Masoumeh Tajvidi ◽  
Rajiv Ranjan ◽  
Joanna Kolodziej ◽  
Lizhe Wang
Keyword(s):  
Service Selection ◽  
Cloud Service ◽  
Selection Framework

QoCS and Cost Based Cloud Service Selection Framework

2017 ◽  
Vol 48 (3) ◽  
pp. 167-172 ◽  
Author(s):  
Sarvesh Pandey ◽  
◽  
A K Daniel
Keyword(s):  
Service Selection ◽  
Cloud Service ◽  
Selection Framework

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

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

A Web Service Selection Framework Based on User's Context and QoS

2014 ◽  
Author(s):  
Emna Khanfir ◽  
Chiraz El Hog ◽  
Raoudha Ben Djmeaa ◽  
Ikram Amous Ben Amor
Keyword(s):  
Web Service ◽  
Service Selection ◽  
Web Service Selection ◽  
Selection Framework
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