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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.
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.
It manages the creation of a virtual machine (VM) and decides on the hypervisor (i.e. physical host) in order to start it. 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 ...
Azure Cache for Redis is a managed implementation of Redis. StorSimple manages storage tasks between on-premises devices and cloud storage. [26] Azure SQL Database works to create, scale, and extend applications into the cloud using Microsoft SQL Server technology. It also integrates with Active Directory, Microsoft System Center, and Hadoop.
Example of this would be a server connected to a SAN/NAS, The SAN/NAS would be a target for the server (target deduplication). The server is not aware of any deduplication, the server is also the point of data generation. A second example would be backup. Generally this will be a backup store such as a data repository or a virtual tape library.
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.
In computer science, storage virtualization is "the process of presenting a logical view of the physical storage resources to" [1] a host computer system, "treating all storage media (hard disk, optical disk, tape, etc.) in the enterprise as a single pool of storage."
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.