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VM

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Parent: IBM System/370 Hop 5 terminal

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VM
NameVM

VM

VM is a foundational computing construct used to create isolated runtime environments on physical host systems, enabling software portability, consolidation, and sandboxing. It has been central to transformations in data center operations, cloud platforms, and developer workflows. Major organizations and platforms have driven widespread adoption, influencing standards and interoperability across hardware and software ecosystems.

Definition and Overview

VM denotes a synthetic computing instance that presents virtualized hardware and firmware interfaces to guest software and operating systems. Key stakeholders in its ecosystem include Intel, AMD, Microsoft Corporation, Google LLC, and Amazon Web Services which provide processors, hypervisors, operating systems, cloud services, and management tools. Related milestones and projects such as VMware, Inc., Xen Project, KVM (kernel-based virtual machine), VirtualBox, and Hyper-V illustrate competitive and collaborative development. Influential works and events like ACM Symposium on Operating Systems Principles, USENIX Annual Technical Conference, Unix, CP-67, and Project MAC informed design principles and standards.

Types and Architectures

Hypervisor designs split into type classifications exemplified by Xen Project (paravirtualization) and KVM (kernel-based virtual machine) (full virtualization). Distinct architectures include host-based solutions like VirtualBox and native hypervisors such as Hyper-V and VMware ESXi. Hardware-assisted virtualization features are provided by Intel VT-x, Intel VT-d, AMD-V, and AMD IOMMU extensions, while firmware and platform specifications like Unified Extensible Firmware Interface and Advanced Configuration and Power Interface affect boot and device models. Container-like alternatives and complementary technologies include Docker (software), Kubernetes, and LXC (Linux containers), which contrast with traditional VM models in isolation and density. Management stacks such as OpenStack, vSphere, and Microsoft System Center coordinate orchestration, networking, and storage across deployments.

History and Development

Early precursors originated with time-sharing and virtualization research at institutions like IBM's Cambridge Scientific Center and projects such as CP-40 and CP-67. Commercialization accelerated with VM/370 on System/370 mainframes and later with virtualization companies exemplified by VMware, Inc.. Academic conferences including ACM SIGOPS, USENIX, and research from MIT and Stanford University disseminated techniques. Key product evolutions involved transitions from mainframe to x86 platforms, influenced by legal and market events involving Microsoft Corporation and antitrust scrutiny, and by standards efforts from groups such as the Open Virtualization Format working groups. Cloud computing milestones at Amazon Web Services, Google Cloud Platform, and Microsoft Azure reframed VM usage for multi-tenant public services and global scale.

Implementation and Operation

Implementations rely on hypervisors, virtual machine monitors, and platform firmware to multiplex CPU, memory, storage, and I/O. Prominent hypervisor projects include KVM (kernel-based virtual machine), Xen Project, VMware ESXi, and Hyper-V; management tools include vCenter Server, OpenStack Nova, and Microsoft System Center Virtual Machine Manager. Storage backends such as Ceph, Amazon EBS, and VMware vSAN integrate with block and object interfaces, while networking leverages virtual switches like Open vSwitch and software-defined networking platforms exemplified by OpenDaylight and Cisco ACI. Guest agents and paravirtualized drivers from QEMU and vendor stacks optimize device emulation and performance. Image formats and templates are governed by community and industry initiatives including Open Virtualization Format and marketplace ecosystems in AWS Marketplace and Azure Marketplace.

Use Cases and Applications

VMs support server consolidation, legacy application hosting, development sandboxes, and disaster recovery. Enterprises use them for workload migration across data centers and hybrid clouds involving VMware vSphere, OpenStack, and Azure Stack. Research institutions and content providers deploy VMs for high-performance computing and media processing in infrastructures managed by SLURM Workload Manager and cloud services at Google Cloud Platform. Virtual desktop infrastructure solutions like Citrix Virtual Apps and Desktops and Microsoft Remote Desktop Services deliver user sessions. Specialized applications include network function virtualization in telecoms aligned with standards from ETSI and regulated environments relying on certification from bodies such as FedRAMP.

Security and Isolation

Security depends on hypervisor integrity, microarchitecture mitigations, and isolation mechanisms. Vulnerabilities such as side-channel attacks disclosed in venues like Black Hat, IEEE Symposium on Security and Privacy, and advisories from US-CERT have driven mitigations including microcode updates from Intel and AMD, and kernel patches in distributions from Red Hat and Canonical (company). Isolation models integrate secure boot with Trusted Platform Module attestation, and confidential computing initiatives from Microsoft Azure Confidential Computing, Google Confidential VMs, and Intel Software Guard Extensions provide enhanced protections. Network isolation is enforced via firewalls and virtual private networks offered by Cisco Systems, Juniper Networks, and cloud vendors, while orchestration policies utilize frameworks like CNCF projects.

Performance and Resource Management

Performance tuning balances CPU scheduling, memory ballooning, I/O virtualization, and NUMA-aware placement. Techniques and tools from QEMU, Linux kernel subsystems, and orchestration layers like Kubernetes and OpenStack Nova optimize utilization. Storage performance leverages caching strategies seen in Redis, flash technologies from Samsung Electronics and Western Digital, and fast interconnects like NVMe over Fabrics and InfiniBand. Monitoring and telemetry integrate solutions such as Prometheus, Grafana, and vendor platforms including Datadog and New Relic for capacity planning and autoscaling in environments managed by HashiCorp Terraform and cloud-native autoscaling features.

Category:Virtualization