OpenNebula

OpenNebula

OpenNebula is an open source cloud solution that manages heterogeneous distributed data centre infrastructures to enable private, public and hybrid IaaS clouds. It provides customizable solutions for users to enable them to build virtualized enterprise data centers and private cloud infrastructures. OpenNebula allows users to deploy and manage virtual machines on physical resources.From: Cloud Computing in Remote Sensing [2019], Enterprise Integration and Information Architecture [2019]

Remote Sensing and Cloud Computing

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Published in Lizhe Wang, Jining Yan, Yan Ma, Cloud Computing in Remote Sensing, 2019

Lizhe Wang, Jining Yan, Yan Ma

OpenNebula [11] is an open source cloud solution that manages heterogeneous distributed data centre infrastructures to enable private, public and hybrid IaaS clouds. As is shown in Figure 1.4, an OpenNebula system contains the following basic components.

Bi-objective web service composition problem in multi-cloud environment: a bi-objective time-varying particle swarm optimisation algorithm

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Published in Journal of Experimental & Theoretical Artificial Intelligence, 2021

Mirsaeid Hosseini Shirvani

This section clarifies our proposed multi-cloud system framework which has various components. User specifies his/her requests in terms of computing resources and constraints. Each cloud’s anomalies such as virtualisation and network attacks and security breaches are registered in cloud log servers. Then, security risk relevant to each cloud can be measured by our novel proposed method. Cloud broker’s main component is a web service combiner which knows underlying clouds’ competencies in advance. Web service combiner delivers optimal service deployment in MCE in the form of non-dominated solutions because it simultaneously optimises two objective functions. Virtual infrastructure management such as OpenNebula can interface between different cloud providers. Moreover, adapters can interoperate with various virtualisation technology such as Xen, KVM, and VMware. Figure 4, depicts our proposed multi-cloud system framework.

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Remote Sensing and Cloud Computing

Bi-objective web service composition problem in multi-cloud environment: a bi-objective time-varying particle swarm optimisation algorithm