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A Novel Trustworthiness Measurement Model for Cloud Service

Author:
Wang, Lifeng
,
Wu, Zhengping
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICSGRC.2014.6908717
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1097761
Keyword(s): autoregressive processes,n distillation,n essential oils,n mean square error methods,n RMSE,n correlation tests,n essential oil extraction system,n linear autoregressive method,n nonlinear autoregressive with exogenous input,n random Gaussian signal,n root mean square error method,n steam distillation,n steam temperature,n system identification technique,n Correlation,n Data models,n Mathematical model,n Nonlinear systems,n System identificat
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    A Novel Trustworthiness Measurement Model for Cloud Service

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contributor authorWang, Lifeng
contributor authorWu, Zhengping
date accessioned2020-03-12T22:52:51Z
date available2020-03-12T22:52:51Z
date issued2014
identifier other7027618.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1097761?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleA Novel Trustworthiness Measurement Model for Cloud Service
typeConference Paper
contenttypeMetadata Only
identifier padid8238681
subject keywordsautoregressive processes
subject keywordsn distillation
subject keywordsn essential oils
subject keywordsn mean square error methods
subject keywordsn RMSE
subject keywordsn correlation tests
subject keywordsn essential oil extraction system
subject keywordsn linear autoregressive method
subject keywordsn nonlinear autoregressive with exogenous input
subject keywordsn random Gaussian signal
subject keywordsn root mean square error method
subject keywordsn steam distillation
subject keywordsn steam temperature
subject keywordsn system identification technique
subject keywordsn Correlation
subject keywordsn Data models
subject keywordsn Mathematical model
subject keywordsn Nonlinear systems
subject keywordsn System identificat
identifier doi10.1109/ICSGRC.2014.6908717
journal titletility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on
filesize339320
citations0
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