15 research outputs found
Three-Dimensional Space to Assess Cloud Interoperability
Get PDFCloud computing is an emerging technology that promises the reduction of IT costs (personnel, software, and hardware) for enterprises, as well as individual users. Despite this appealing offer, this technology has still not been widely adopted in the enterprise IT. Users are still worried about vendor lock-in; they will not be able to move their data and applications from one cloud provider to another easily or return to in-house IT. Currently, users do not have the means to specify and assess the interoperability level of the cloud provider that they desire to entrust their IT operations. In this thesis work, we provide a three-dimensional space to assess and visualize the interoperability level of any cloud provider so that cloud users can select the providers services that better fit their interoperability needs.http://archive.org/details/threedimensional1094532818Lieutenant Junior Grade, Tunisian NavyApproved for public release; distribution is unlimited
Monitoring of wastewater treatment processes using dynamic concurrent kernel partial least squares
No full textRETRACTED: Fault diagnosis of heating systems using multivariate feature extraction based machine learning classifiers
No full textQuantized generalized maximum correntropy criterion based kernel recursive least squares for online time series prediction
No full textDecentralized PCA modeling based on relevance and redundancy variable selection and its application to large-scale dynamic process monitoring
No full textA time lag based correlation analysis model for index selection in state evaluation of centrifugal compressor unit
No full textOnline fault detection and isolation of an AIR quality monitoring network based on machine learning and metaheuristic methods
No full textSub-period division strategies combined with multiway principle component analysis for fault diagnosis on sequence batch reactor of wastewater treatment process in paper mill
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