Paper Info
Title
An Ensemble of Neuro-Fuzzy Model for Assessing Risk in Cloud Computing Environment.
Abstract
Cloud computing is one of the hottest technologies in IT field. It provides computational resources as general utilities that can be leased and released by users in an on-demand fashion. Companies around the globe are showing high interest in adopting cloud computing technology but cloud computing adaptation comes with greater risks that need to be assessed. In this research, an ensemble of adaptive neuro-fuzzy inference system (ANFIS) is proposed to assess risk factors in cloud computing environment. In the proposed framework, various membership functions were used to construct ANFIS model and finally, an ensemble of ANFIS models was constructed using an evolutionary algorithm. Empirical results indicate a high performance of the proposed models for assessing risk in the cloud environment.
Year
DOI
Venue
2015
10.1007/978-3-319-27400-3_3
ADVANCES IN NATURE AND BIOLOGICALLY INSPIRED COMPUTING
Keywords
Field
DocType
Cloud computing,Risk assessment,Adaptive neuro-fuzzy inference system,Feature selection,Ensemble,Evolutionary algorithm
Neuro-fuzzy,Evolutionary algorithm,Feature selection,Computer science,Artificial intelligence,Adaptive neuro fuzzy inference system,Machine learning,Genetic algorithm,Inference system,Cloud computing
Conference
Volume
Issue
ISSN
419
5
2194-5357
Citations 
PageRank 
References 
0
0.34
10
Authors
3
Name
Order
Citations
PageRank
Nada Ahmed100.68
Varun Kumar Ojha2329.25
Ajith Abraham38954729.23