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VirtuAlizAtion<br />

openVz<br />

© sculpies, Fotolia.com<br />

Operating system virtualization with OpenVZ<br />

Container Service<br />

the virtualization technology market is currently concentrating on hypervisor-based systems, but hosting providers<br />

often use an alternative technology. container-based solutions such as openVz/ Virtuozzo are the most<br />

efficient way to go if the guest and host systems are both linux. By thomas drilling<br />

Hypervisor-based virtualization<br />

solutions are all the rage. Many companies<br />

use Xen, KVM, or VMware<br />

to gradually abstract their hardware<br />

landscape from its physical underpinnings.<br />

The situation is different if<br />

you look at leased servers, however.<br />

People who decide to lease a virtual<br />

server are not typically given a fully<br />

virtualized system based on Xen or<br />

ESXi, and definitely not a root server.<br />

Instead, they might be given a resource<br />

container, which is several<br />

magnitudes more efficient for Linux<br />

guest systems and also easier to set<br />

up and manage. A resource container<br />

can be implemented with the use of<br />

Linux VServer [1], OpenVZ [2], or<br />

Virtuozzo [3].<br />

Benefits<br />

Hypervisor-based virtualization solutions<br />

emulate a complete hardware<br />

layer for the guest system. Ideally,<br />

any operating system including applications<br />

can be installed on the guest,<br />

which will seem to have total control<br />

of the CPU, chipset, and peripherals.<br />

If you have state-of-the-art hardware<br />

(a CPU with a virtualization extension<br />

– VT), the performance is good.<br />

However, hypervisor-based systems<br />

do have some disadvantages. Because<br />

each guest installs its own operating<br />

system, it will perform many tasks in<br />

its own context just like the host system<br />

does, meaning that some services<br />

might run multiple times. This can<br />

affect performance because of overlapping<br />

– one example of this being<br />

cache strategies for the hard disk subsystem.<br />

Caching the emulated disks<br />

on the guest system is a waste of time<br />

because the host system already does<br />

this, and emulated hard disks are actually<br />

just files on the filesystem.<br />

Parallel Universes<br />

Resource containers use a different<br />

principle on the basis that – from the<br />

application’s point of view – every<br />

operating system comprises a filesystem<br />

with installed software, space for<br />

data, and a number of functions for<br />

accessing devices. For the application,<br />

all of this appears to be a separate<br />

universe. A container has to be designed<br />

so that the application thinks<br />

it has access to a complete operating<br />

system with a run-time environment.<br />

From the host’s point of view, containers<br />

are simply directories. Because<br />

all the guests share the same kernel,<br />

they can only be of the same type as<br />

the host operating system or its kernel.<br />

This means a Linux-based container<br />

solution like OpenVZ can only<br />

host Linux guests. From a technical<br />

point of view, resource containers extend<br />

the host system’s kernel. Adding<br />

an abstraction layer then isolates the<br />

containers from one another and provides<br />

resources, such as CPU cycles,<br />

memory, and disk capacity (Figure 1).<br />

Installing a container means creating<br />

a sub-filesystem in a directory on the<br />

host system, such as /var/lib/vz/<br />

gast1; this is the root directory for the<br />

guest. Below /var/lib/vz/gast1 is a<br />

regular Linux filesystem hierarchy but<br />

without a kernel, just as in a normal<br />

chroot environment.<br />

52 Admin 01 www.Admin-mAgAzine.com

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