An Experimental Study of Load Balancing of OpenNebula Open-Source Cloud Computing Platform
A B M Moniruzzaman, Kawser Wazed Nafi, Syed Akther Hossain

TL;DR
This paper evaluates the load balancing performance of the OpenNebula open-source cloud platform through experimental testing of VM management and host-VM mapping, providing insights into its efficiency for private cloud deployment.
Contribution
It systematically investigates OpenNebula's load balancing performance, which was previously underexplored, using prototype implementation and experimental analysis.
Findings
OpenNebula effectively manages VM addition and deletion.
Load balancing performance varies with VM and host mapping strategies.
Experimental results inform optimal configurations for private cloud deployment.
Abstract
Cloud Computing is becoming a viable computing solution for services oriented computing. Several open-source cloud solutions are available to these supports. Open-source software stacks offer a huge amount of customizability without huge licensing fees. As a result, open source software are widely used for designing cloud, and private clouds are being built increasingly in the open source way. Numerous contributions have been made by the open-source community related to private-IaaS-cloud. OpenNebula - a cloud platform is one of the popular private cloud management software. However, little has been done to systematically investigate the performance evaluation of this open-source cloud solution in the existing literature. The performance evaluation aids new and existing research, industry and international projects when selecting OpenNebula software to their work. The objective of this…
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Taxonomy
TopicsCloud Computing and Resource Management · IoT and Edge/Fog Computing · Distributed and Parallel Computing Systems
