openstack-manuals/doc/arch-design/ch_network_focus.xml
Andreas Jaeger 32e98f5045 Arch Design: Small edits
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<?xml version="1.0" encoding="UTF-8"?>
<chapter xmlns="http://docbook.org/ns/docbook"
xmlns:xi="http://www.w3.org/2001/XInclude"
xmlns:xlink="http://www.w3.org/1999/xlink"
version="5.0"
xml:id="network_focus">
<title>Network focused</title>
<para>All OpenStack deployments are dependent, to some extent, on
network communication in order to function properly due to a
service-based nature. In some cases, however, use cases
dictate that the network is elevated beyond simple
infrastructure. This chapter is a discussion of architectures
that are more reliant or focused on network services. These
architectures are heavily dependent on the network
infrastructure and need to be architected so that the network
services perform and are reliable in order to satisfy user and
application requirements.</para>
<para>Some possible use cases include:</para>
<variablelist>
<varlistentry>
<term>Content delivery network</term>
<listitem>
<para>This could include
streaming video, photographs or any other cloud based
repository of data that is distributed to a large
number of end users. Mass market streaming video will
be very heavily affected by the network configurations
that would affect latency, bandwidth, and the
distribution of instances. Not all video streaming is
consumer focused. For example, multicast videos (used
for media, press conferences, corporate presentations,
web conferencing services, and so on) can also utilize a
content delivery network. Content delivery will be
affected by the location of the video repository and
its relationship to end users. Performance is also
affected by network throughput of the backend systems,
as well as the WAN architecture and the cache
methodology.</para>
</listitem>
</varlistentry>
<varlistentry>
<term>Network management functions</term>
<listitem>
<para>A cloud that provides
network service functions would be built to support
the delivery of back-end network services such as DNS,
NTP or SNMP and would be used by a company for
internal network management.</para>
</listitem>
</varlistentry>
<varlistentry>
<term>Network service offerings</term>
<listitem>
<para>A cloud can be used to
run customer facing network tools to support services.
For example, VPNs, MPLS private networks, GRE tunnels
and others.</para>
</listitem>
</varlistentry>
<varlistentry>
<term>Web portals or web services</term>
<listitem>
<para>Web servers are a common
application for cloud services and it is recommended
to have an understanding of the network requirements.
The network will need to be able to scale out to meet
user demand and deliver webpages with a minimum of
latency. Internal east-west and north-south network
bandwidth must be considered depending on the details
of the portal architecture.</para>
</listitem>
</varlistentry>
<varlistentry>
<term>High speed and high volume transactional systems</term>
<listitem>
<para>
These types of applications are very sensitive to
network configurations. Examples include many
financial systems, credit card transaction
applications, trading and other extremely high volume
systems. These systems are sensitive to network jitter
and latency. They also have a high volume of both
east-west and north-south network traffic that needs
to be balanced to maximize efficiency of the data
delivery. Many of these systems have large high
performance database back ends that need to be
accessed.</para>
</listitem>
</varlistentry>
<varlistentry>
<term>High availability</term>
<listitem>
<para>These types of use cases are
highly dependent on the proper sizing of the network
to maintain replication of data between sites for high
availability. If one site becomes unavailable, the
extra sites will be able to serve the displaced load
until the original site returns to service. It is
important to size network capacity to handle the loads
that are desired.</para>
</listitem>
</varlistentry>
<varlistentry>
<term>Big data</term>
<listitem>
<para>Clouds that will be used for the
management and collection of big data (data ingest)
will have a significant demand on network resources.
Big data often uses partial replicas of the data to
maintain data integrity over large distributed clouds.
Other big data applications that require a large
amount of network resources are Hadoop, Cassandra,
NuoDB, RIAK and other No-SQL and distributed
databases.</para>
</listitem>
</varlistentry>
<varlistentry>
<term>Virtual desktop infrastructure (VDI)</term>
<listitem>
<para>This use case
is very sensitive to network congestion, latency,
jitter and other network characteristics. Like video
streaming, the user experience is very important
however, unlike video streaming, caching is not an
option to offset the network issues. VDI requires both
upstream and downstream traffic and cannot rely on
caching for the delivery of the application to the end
user.</para>
</listitem>
</varlistentry>
<varlistentry>
<term>Voice over IP (VoIP)</term>
<listitem>
<para>This is extremely sensitive to
network congestion, latency, jitter and other network
characteristics. VoIP has a symmetrical traffic
pattern and it requires network quality of service
(QoS) for best performance. It may also require an
active queue management implementation to ensure
delivery. Users are very sensitive to latency and
jitter fluctuations and can detect them at very low
levels.</para>
</listitem>
</varlistentry>
<varlistentry>
<term>Video Conference or web conference</term>
<listitem>
<para>This also is
extremely sensitive to network congestion, latency,
jitter and other network flaws. Video Conferencing has
a symmetrical traffic pattern, but unless the network
is on an MPLS private network, it cannot use network
quality of service (QoS) to improve performance.
Similar to VOIP, users will be sensitive to network
performance issues even at low levels.</para>
</listitem>
</varlistentry>
<varlistentry>
<term>High performance computing (HPC)</term>
<listitem>
<para>This is a complex
use case that requires careful consideration of the
traffic flows and usage patterns to address the needs
of cloud clusters. It has high East-West traffic
patterns for distributed computing, but there can be
substantial North-South traffic depending on the
specific application.</para>
</listitem>
</varlistentry>
</variablelist>
<xi:include href="network_focus/section_user_requirements_network_focus.xml"/>
<xi:include href="network_focus/section_tech_considerations_network_focus.xml"/>
<xi:include href="network_focus/section_operational_considerations_network_focus.xml"/>
<xi:include href="network_focus/section_architecture_network_focus.xml"/>
<xi:include href="network_focus/section_prescriptive_examples_network_focus.xml"/>
</chapter>