A PROBABILISTIC MACHINE LEARNING FRAMEWORK FOR CLOUD RESOURCE SELECTION ON THE CLOUD

The execution of the scientific applications on the Cloud comes with great flexibility, scalability, cost-effectiveness, and substantial computing power. Market-leading Cloud service providers such as Amazon Web service (AWS), Azure, Google Cloud Platform (GCP) offer various general purposes, memory...

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Bibliographic Details
Main Author:	Khan, Syeduzzaman
Format:	Others
Published:	Scholarly Commons 2020
Subjects:	Cloud computing Cloud resource selection K Means Machine learning Naive Bayes Random forest classifier Computer engineering Computer Engineering Computer Sciences Data Storage Systems Engineering Other Computer Engineering Other Computer Sciences
Online Access:	https://scholarlycommons.pacific.edu/uop_etds/3720 https://scholarlycommons.pacific.edu/cgi/viewcontent.cgi?article=4716&context=uop_etds

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https://scholarlycommons.pacific.edu/uop_etds/3720
https://scholarlycommons.pacific.edu/cgi/viewcontent.cgi?article=4716&context=uop_etds

A PROBABILISTIC MACHINE LEARNING FRAMEWORK FOR CLOUD RESOURCE SELECTION ON THE CLOUD

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