Automatic Discovery of Host Machines in Cloudify-powered Cluster

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http://urn.fi/URN:NBN:fi:hulib-201908133196
Title: Automatic Discovery of Host Machines in Cloudify-powered Cluster
Author: Suomalainen, Lauri
Contributor: University of Helsinki, Faculty of Science
Publisher: Helsingin yliopisto
Date: 2019
Language: eng
URI: http://urn.fi/URN:NBN:fi:hulib-201908133196
http://hdl.handle.net/10138/304702
Thesis level: master's thesis
Discipline: Networking and Service
Abstract: Hybrid Clouds are one of the most notable trends in the current cloud computing paradigm and bare-metal cloud computing is also gaining traction. This has created a demand for hybrid cloud management and abstraction tools. In this thesis I identify shortcomings in Cloudify’s ability to handle generic bare-metal nodes. Cloudify is an open- source vendor agnostic hybrid cloud tool which allows using generic consumer-grade computers as cloud computing resources. It is not however capable to automatically manage joining and parting hosts in the cluster network nor does it retrieve any hardware data from the hosts, making the cluster management arduous and manual. I have designed and implemented a system which automates cluster creation and management and retrieves useful hardware data from hosts. I also perform experiments using the system which validate its correctness, usefulness and expandability.


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