Scalable Data-agnostic Processing Model with a Priori Scheduling for the Cloud

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Scalable Data-agnostic Processing Model with a Priori Scheduling for the Cloud

Cloud computing is identified to be a promising solution to performing big data analytics. However, the maximization of cloud utilization incorporated with optimizing intranode, internode, and memory management is still an open-ended challenge. This thesis presents a novel resource allocation model...

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Bibliographic Details
Main Author:	Tan, Rong Kun Jason
Format:	Thesis
Published:	Curtin University 2019
Online Access:	http://hdl.handle.net/20.500.11937/75449

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