ARM, Xen, Servers and Evolution of the Data Center · HyperVisors at Hyperscale | Xen User Summit 2013 1 ® Hypervisors at Hyperscale ARM, Xen, Servers and Evolution of the Data Center

HyperVisors at Hyperscale | Xen User Summit 2013

1 ®

Hypervisors at Hyperscale

ARM, Xen, Servers and Evolution of the Data Center

Larry Wikelius

Co-Founder & VP Software


2 ®

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…


3 ®

Traditional IT Segments

Application Scale

Segm

ent V

olum

e

Web Infrastructure

Enterprise IT

Application Development

Decision Support

Business Processing

IT Infrastructure

Industrial R&D

Collaborative


4 ®

Changing Focus on the Workloads

Application Scale

Segm

ent V

olum

e

Traditional IT

Workloads

Distributed Storage

Big Web Tier

Workload Optimized Systems & Data Centers

Enterprise IT

Big Data/Analytics


5 ®

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 OtherSource: Oppenheimer


6 ®

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 ®

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.


8 ®

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


9 ®

Technology Trends – Single Core Performance We are reaching single-core performance limits

-> 52% historical growth slows to 22% <-

Source: Computer Architecture 5th edition


10 ®

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


11 ®

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)


12 ®

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


13 ®

Calxeda EnergyCore™

I/O Controllers SATA, PCIe, Ethernet, SD/

eMMC

Processor Complex

L2 C

ache

Mem

ory

Con

trolle

rs

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 ®

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


15 ®


16 ®

Linux OS Distro Support

Ubuntu 12.04 LTS ++

Fedora 18 ++

OpenSUSE 12.2 ++

Watch this space…


17 ®

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


18 ®

Advantages for Xen on ARM

•  ARM history •  Small footprint •  Migration via Fabrics •  Workload optimized •  Consistent Management integration


19 ®

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 ®

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


21 ®

q  Efficient core architecture

q  SOC integra@on

q  OpenSource sobware

q  OpenSource Hardware

q  Changing workloads – Greenfield

Disruption on (legal) Steroids…


22 ®

Where do we go…

Continued expansion in ARM roadmap

Accelerating Eco-System -  HW & SW Workload integrated Efficiencies

and Optimizations

Documents

ARM, Xen, Servers and Evolution of the Data Center · HyperVisors at Hyperscale | Xen User Summit 2013 1 ® Hypervisors at Hyperscale ARM, Xen, Servers and Evolution of the Data Center