The emergence of power optimized hyperscale servers is leading to a revolution in Data Center design. The intersection of this revolution with the growth of Cloud Computing, Big Data and Scale Out Storage solutions is resulting in innovation at rate and pace in the Server Industry that has not been seen for years. One particular example of this innovation is the deployment of ARM based servers in the Data Center and the impact these servers have on Power, Density and Scale. In this presentation we will look at the role that Xen is playing in the Revolution of ARM based server design and deployment and the impact on applications, systems management and provisioning.

1. HyperVisors at Hyperscale | Xen User Summit 20131
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Hypervisors at Hyperscale
ARM, Xen, Servers and Evolution of the
Data Center
Larry Wikelius
Co-Founder & VP Software

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Overview
l Market Dynamics
l Technology Trends
l Roadmaps – Where are we today
l Use cases for Xen
l Where do we go from here…

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Traditional IT Segments
Application Scale
SegmentVolume
Web
Infrastructure
Enterprise IT
Application
Development
Decision
Support
Business
Processing
IT
Infrastructure
Industrial
R&D
Collaborative

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Changing Focus on the Workloads
Application Scale
SegmentVolume
Traditional
IT
Workloads
Distributed
Storage
Big Web
Tier
Workload Optimized Systems &
Data Centers
Enterprise IT
Big Data/
Analytics

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Web 2.0 Growth Target: > 40% of the Market
$-­‐
$5,000
$10,000
$15,000
$20,000
$25,000
$30,000
$35,000
$40,000
$45,000
2011 2012 2013 2014 2015 2016
Web
2.0
Spend All
Other
Source: Oppenheimer

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Web 2.0 MicroServers: > 40% share by 2016
Source: Oppenheimer
$-­‐
$2,000
$4,000
$6,000
$8,000
$10,000
$12,000
$14,000
$16,000
$18,000
$20,000
2011 2012 2013 2014 2015 2016
Web
2.0
Spend Microserver
/
ULP

7. HyperVisors at Hyperscale | Xen User Summit 20137
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Interest in ARM in the Datacenter is Growing
% considering ARM-based Processors for computing purchases
Source UBS Global Investment Research, August 7, 2012. James F. Hillier.

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q Mobile
processors
designed
for
energy
efficiency
q Target
good
performance/energy
use
trade-­‐off
q Pioneered
System-­‐on-­‐Chip
(SOC)
integra@on
technology
q Deep
on-­‐chip
power/clock/frequency
ga@ng
q Modern
mobile
devices
also
require
performance
q Tablets
replacing
laptops
and
desktops
q Mul@-­‐core
cellphones,
with
high
end
games
q Mixture
of
asynchronous
compute
w/offload
q Energy
aware
scheduling/power
decisions
Influence of a Mobile Technology Perspective

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Technology Trends – Single Core Performance
We are reaching single-core performance limits
-> 52% historical growth slows to 22% <-
Source: Computer Architecture 5th edition

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q Distributed
applica@on
level
storage
becoming
cri@cal
q Ceph
&
Gluster
and
other
Open
Source
solu@ons
q Never
throw
any
data
away
q MapReduce
approach
to
processing
huge
data
sets
q “Map”
large
problems
into
smaller
data
chunks
q “Reduce”
results
from
many
nodes
into
end
result
q Apache
Hadoop
is
the
well-­‐known
implementa@on
q Industry
Benchmark
example
–
Data
Intensive
Focus
q Graph500
-­‐
hXp://www.graph500.org/
Technology Trends – I/O Driven Workloads

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q Integrate
customized
value
q Standard
compute
(ARM
core)
with
customized
devices
q Specialized
peripherals,
offload
engines,
enhancements
q Thriving
compe@@ve
market
q Fine
grain,
Integrated
management
features
q Out-­‐of-­‐band
IPMI,
secure
provisioning,
etc.
q Value-­‐add
opportuni@es
for
OEMs/vendors
q Good
bye
to
aXached
displays
and
serial
cables
Technology Trends – System-on-Chip (SOC)

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q Transparent,
reconfigurable
interconnect
between
many
SoCs
q No
physical
network
ports
required
between
systems
q Redundant
paths
and
rou@ng
op@miza@ons
built-­‐in
q Cluster
level,
server
level
and/or
policy
level
controls
q Enhanced
IO
and
networking
to
all
nodes
q Replaces
“top
of
rack”
switch/cabling
mess
q Low
latency
&
high
bandwidth
q Lower
power
and
higher
density
q Million
node
Data
Centers
Technology Trends – Fabrics


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Calxeda EnergyCore™
I/O Controllers
SATA, PCIe,
Ethernet, SD/
eMMC
Processor Complex
L2Cache
Memory
Controllers
ARM
ARM
ARM
ARM
EnergyCore
Fabric Switch
EnergyCore
Management
Engine
EnergyCore™
Management
Engine
Advanced system, power
and fabric optimization
and management for
energy-proportional
computing
I/O Controllers
Standard drivers,
standard interfaces. No
surprises.
Processor Complex
Multi-core ARM® processors
integrated with high
bandwidth memory
controllers
EnergyCore™
Fabric Switch
Integrated high-performance
fabric converges internode
communication,
I/O, and storage networking
Reference System-on-Chip (SOC)

14. HyperVisors at Hyperscale | Xen User Summit 201314
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SOC Integration Benefits System Design
Decrease Complexity, Improve Efficiency
Approximately 10”
4- 16 GB DRAM ECC mini-DIMMS
Quad-core servers
4 SATA / Node
Power, SATA, & Fabric
q A
cluster
of
4
servers
q 20
waXs
q No
cables

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Linux OS Distro Support
Ubuntu 12.04 LTS ++
Fedora 18 ++
OpenSUSE 12.2 ++
Watch this space…

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Accelerating the Virtualization Eco-System
• First working code for Cortex-A15 w/
using hardware virtualization
• Linaro Enterprise Group (LEG):
Servers, Virtualization and more
• Launch of Xen Project
• Xen 4.3 Release
• Xen 4.4 Release and Beyond

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Advantages for Xen on ARM
• ARM history
• Small footprint
• Migration via Fabrics
• Workload optimized
• Consistent Management integration

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ARM servers running Xen with OpenStack
ARM server node
Xen hypervisor
Dom0
OpenStack
VM
Tenant VM
nova-
compute
Application
Nova, Quantum,
Keystone, Glance, etc
xapi

20. HyperVisors at Hyperscale | Xen User Summit 201320
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OpenStack with Xen on ARM
Leverage existing management
APIs to dynamically
instantiate workloads on
ARM based Servers
Deploy your cloud using a
proven production grade
hypervisor
Community backed
development and roadmap

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q Efficient
core
architecture
q SOC
integra@on
q OpenSource
sobware
q OpenSource
Hardware
q Changing
workloads
–
Greenfield
Disruption on (legal) Steroids…

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Where do we go…
Continued expansion in ARM
roadmap
Accelerating Eco-System
- HW & SW
Workload integrated Efficiencies
and Optimizations