Thesis Report: Resource Utilization Provisioning in MapReduce
Hamidreza Barati, Nasrin Jaberi
TL;DR
This thesis surveys current methods for modeling resource utilization in MapReduce, implements a selected algorithm, and explores whether CPU usage models can predict CPU needs across different applications.
Contribution
It provides a comprehensive survey of resource modeling techniques and investigates cross-application CPU usage prediction in MapReduce.
Findings
Survey of state-of-the-art resource modeling methods
Implementation of a selected resource utilization algorithm
Preliminary results on CPU usage prediction across applications
Abstract
In this thesis report, we have a survey on state-of-the-art methods for modelling resource utilization of MapReduce applications regard to its configuration parameters. After implementation of one of the algorithms in literature, we tried to find that if CPU usage modelling of a MapReduce application can be used to predict CPU usage of another MapReduce application.
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Taxonomy
TopicsCloud Computing and Resource Management · Advanced Data Storage Technologies · Software System Performance and Reliability