Partitioning Enterprise Systems on Docker Platform

Name
T├Ánis Ojandu
Abstract
Enterprise systems are complex computer systems that create business value to their owners. This value and the nature of these systems varies but usually they are built from many more general software components that are tied together with custom and value-adding business logic. These systems can expand extensive hardware clusters. All this means that they often require noticeable effort to develop and manage.
This thesis makes a study of a software container platform named Docker by standardizing and automating the deployment of a mock enterprise system. Also this study focuses on automating the partitioning of these enterprise system into multiple hardware nodes. It aims to achieve this using METIS graph partitioning toolset.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Satish Narayana Srirama, PhD
Defence year
2016
 
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