Terrapin Trading Show Chicago, Thursday, June 4 Andy Bach, FSI Architect, Juniper Networks Distributed computing concepts (QFX5100-AA) Scale and performance enhancements (QFX10000 Series) Automation capabilities (tie in QFX-PFA) Larry Van Deusen, Director of the Network Integration Business Unit, Dimension Data Automation Value Added Partner Services

1. High Performance Data Center
Computing using Manageable
Distributed Computing
Andrew Bach, Chief Architect for Financial
Services, Juniper Networks
Lawrence Van Deusen II , Director –
Networking Business Unit, Dimension Data
Chicago Trading Show
Thursday , June 4th, 2015, 3:10 – 3:40

2. Agenda
Redistribute Computing as a Solution
The Limitations Today
Automation in a distributed environment
The Challenges

3. Agenda
Redistribute Computing as a Solution
The Limitations Today
Automation in a distributed environment
The Challenges

4. • Requirement for long
term retention of data
• Requirement to archive
meta data
• Real time risk
management is now
required
• Requirement for
precision timing
• Increasing focus on
cyber security
• Time to market must be
faster
• Product life time is
shorting
• Margins are driving OPEX
reduction
• Regulation is increasing
the cost of business
• Technology is a strategic
weapon
• Fueling the race to the
triple crown of technology
(0 cost, 0 latency, 0 time to
market)
• Bandwidth demand
continues to grow at >30%
per year
• Rate of data growth is also
increasing
• Analytics, automation,
orchestration are critical
• Exchange trading floors
continue to fade away
• Machine assisted trading
dominates
• Heuristic trading based on
hyper-contextual
information is growing
• Risk assessment is now
routinely based on massive
near real time data bases
• Shared public/private cloud
solutions
• Operational excellence is
now table stakes
Regulatory Model
is Driving Change
FSS is Evolving to
a Commodity
Industry
Technology Adoption
is Accelerating to
Meet Accelerating
Business Needs
Business Model
Continues to Evolve
Financial Services Sector (FSS) Challenges

5. Next Challenge – Heuristic Based Trading
Market data
feeds
News feeds
Social feeds
Streaming
news video
Ticker Plant
Heuristic
Processing
Heuristic
Processing
Heuristic
Processing
Heuristic
Processing
Historical
Data Base
Heuristic
Processing
Human
Oversight
and control
Execution
Venues
Trade Plant

6. Agenda
Redistribute Computing as a Solution
The Limitations Today
Automation in a distributed environment
The Challenges

7. Slowing of Processor Speed
Gigahertz

8. Latency Reduction Trends
Industry tracking to ≈ 450ns

9. Agenda
Redistribute Computing as a Solution
The Limitations Today
Automation in a distributed environment
The Challenges

10. Customer
Risk
Management
embedded in
Data center
Switch
Symbol
routing
embedded in
Data center
Switch
Data pre/post
processing
Customer
40% less
ports Latency
down 50µS
Total Latency
≈100.0µS
Trade Plant Size:
≈ 60 Servers
≈ 1000 Ports
Total Latency
≈150.0µS
Trade Plant Size:
≈ 100 Servers
≈ 1500 Ports
A Different Approach: Distributed Computing for
an Exchange Gateway Trade Plant

11. A Different Approach: Market Data Ticker Plant
Internal
Users
Feed handler &
publishing servers
Pub/sub
server farm
Client subscriber
servers
World Wide
Market Data
Feeds
Internal
Users
World Wide
Market Data
Feeds
Feed handler &
publishing in top of
rack switch
Pub/sub
server farm
Client subscriber
imbedded in top of
rack switch

12. Network Switch/Application Acceleration/Packet Forwarding Accelerator
PFE
Intel X86 , DDR3, SSD
HYPERVISOR
NETWORK OS
ACTIVE
NETWORK OS
STANDBY
GUEST APPLICATION(S)
FPGA

13. At about 200 – 500NS for
a reasonable switch
Need to focus on a
different approach
Lower latency
Eliminate servers
Reduce network ports
Application can be
embedded in
A VM in the switch
A FPGA in the data
path of the switch
ASIC Packet
forwarding engine
(PFE)
The Race to Zero is
Ending
Embed Application
Snippets into the
Switching Fabric
Embed Snippets at the
Control or Data Plane of
the Network
Compute-Integrated Networking
The new way to reduce latency and cost.

14. • Processors and network switches are hitting natural limits
• To achieve a high performance infrastructure compute resource must be
distributed
• Optimize computing in the server, NIC (FPGA), and data flow engines
• Architect compute resources across the data center - not just one place
Centralize Processing Where You Can, Distribute
Where You Must
Impact on Compute and Network

15. Agenda
Redistribute Computing as a Solution
The Limitations Today
Automation in a distributed environment
The Challenges

16. Automation
Our networking Skills Transformation

17. Dimension Data today
2014 global
revenues of
USD 6.8
billion
73% of Global Fortune 100 and
59%of Global Fortune 500
are Dimension Data clients
Client-centric,
services-focused
business
Extensive experience in
emerging
markets
Over 25,000
employees
with operations in
54 countries
across 5 regions
Over
6,000
clients across all
industry sectors

18. accelerate your ambition 18
Evolving Networking skills
new products & services are software centric
clients are becoming dev centric
bus function abstracted from infrastructure through software
engineering skillsets switching to dev
Moving from configuration to policy management

19. Evolving Networking skills challenge
Open APIs based on REST
or other standards
Vendor APIs
Cisco OnePK
Standard Protocols
OpenFlow, Netconf
Virtual Overlays
VXLAN / NVGRE / STT
Data Centre
Controller
WAN Controller
Campus
Controller
Virtual Overlay
Controller
Control
Plane
Network services (FW, IPS, ADC, DDI, etc)
Data Plane
Automation ToolsOrchestration Tools
Application
Plane
NWBU
business
of the
future
NWBU
business
today
New world with new skills, new language, new approach

20. The Dimension Data Value proposition
The ability to build SDN applications
The experience working with OpenDaylight and OpenStack
The consulting services to evolve IT operational models
(business process)
Transforming from engineering to development

21. Our Managed Cloud Platform network is
SDN-enabled
USD
20m
SDN revenue in FY14
Contribution to
and projects
with
Broad SDN
project
experience
NSX
trained
engineers
30+ Investments in
software
development
and
lifecycle
management
USD 1.5m
investment in
multi-vendor
SDN labs
Our SDN capabilities have depth

22. SDN development
model
Strategy definition, assist with business
case and roadmap
Detailed Design &
Migration Plan
Production SDN Deployment
Scale out pilot environments
Evaluation Lab
Working test environment
(simulators, cloud labs,
vendor POCs)
SDN readiness
assessment
Applications, Integration, operations, migration
Limited Scale Pilot and POC’s
Dimension Data packaged POC service
Dimension Data SDN Services

23. Lawrence Van Deusen II
Director – Networking Business Unit
212 560 7973
Email:
lawrence.vandeusen@dimensiondata.com
Andy Bach
Chief Architect for Financial Services,
Juniper Networks
516-804-9500
Email: abach@juniper.net
Thank You