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A hypervisor runs virtual machines (VMs) as guests. Pools of hypervisors in the cloud operational system can support large numbers of virtual machines and the ability to scale services up and down according to demand by customers. Hypervisors include Xen, Oracle VirtualBox, Oracle VM, KVM, VMware ESX/ESXi, or Microsoft Hyper-V. It also enables ...
Veeam backup server – a Windows-based physical or virtual machine where Veeam Backup & Replication is installed. It is the core component responsible for all types of administrative activities in a backup infrastructure, including general orchestration of backup, restore and replication tasks, job scheduling and resource allocation .
Microsoft Azure uses large-scale virtualization at Microsoft data centers worldwide and offers more than 600 services. [11] Microsoft Azure offers a service level agreement (SLA) that guarantees 99.9% availability for applications and data hosted on its platform, subject to specific terms and conditions outlined in the SLA documentation.
TSM descended from a project done at IBM's Almaden Research Center around 1988 to back up VM/CMS systems. The first product that emerged was Workstation Data Save Facility (WDSF). WDSF's original purpose was to back up PC/DOS, OS/2, and AIX workstation data onto a VM/CMS (and later MVS) server.
Autoscaling, also spelled auto scaling or auto-scaling, and sometimes also called automatic scaling, is a method used in cloud computing that dynamically adjusts the amount of computational resources in a server farm - typically measured by the number of active servers - automatically based on the load on the farm.
GPFS (General Parallel File System, brand name IBM Storage Scale and previously IBM Spectrum Scale) [1] is a high-performance clustered file system software developed by IBM. It can be deployed in shared-disk or shared-nothing distributed parallel modes, or a combination of these.
A cloud database is a database that typically runs on a cloud computing platform and access to the database is provided as-a-service. There are two common deployment models: users can run databases on the cloud independently, using a virtual machine image, or they can purchase access to a database service, maintained by a cloud database provider.
Cloud applications differ from other applications in their scalability—which can be achieved by cloning tasks onto multiple virtual machines at run-time to meet changing work demand. [49] Load balancers distribute the work over the set of virtual machines. This process is transparent to the cloud user, who sees only a single access-point.