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OpenNebula is an open source cloud computing platform for managing heterogeneous data center, public cloud and edge computing infrastructure resources. OpenNebula manages on-premises and remote virtual infrastructure to build private, public, or hybrid implementations of infrastructure as a service (IaaS) and multi-tenant Kubernetes deployments.
In October 2012, a group of telecom operators published a white paper [4] at a conference in Darmstadt, Germany, on software-defined networking (SDN) and OpenFlow.The Call for Action concluding the White Paper led to the creation of the Network Functions Virtualization (NFV) Industry Specification Group (ISG) [5] within the European Telecommunications Standards Institute (ETSI).
Cloud computing: License: Apache License version 2: Website: www.nimbusproject.org: Nimbus is a toolkit that, once installed on a cluster, provides an infrastructure ...
Hardware virtualization (or platform virtualization) pools computing resources across one or more virtual machines. A virtual machine implements functionality of a (physical) computer with an operating system. The software or firmware that creates a virtual machine on the host hardware is called a hypervisor or virtual machine monitor. [2]
In computing, a virtual machine (VM) is the virtualization or emulation of a computer system.Virtual machines are based on computer architectures and provide the functionality of a physical computer.
In software engineering, containerization is operating-system–level virtualization or application-level virtualization over multiple network resources so that software applications can run in isolated user spaces called containers in any cloud or non-cloud environment, regardless of type or vendor. [1]
Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and "bursts" to a public cloud when the demand for computing capacity increases. A primary advantage of cloud bursting and a hybrid cloud model is that an organization pays for extra compute resources only when they are needed. [ 68 ]
The virtualization introduces only a negligible overhead and allows running hundreds of virtual private servers on a single physical server. In contrast, approaches such as full virtualization (like VMware ) and paravirtualization (like Xen or UML ) cannot achieve such level of density, due to overhead of running multiple kernels.