EVOLVING TRENDS IN HIGH PERFORMANCE INFRASTRUCTURE

Andrew F. Bach

Chief Architect FSI – Juniper Networks

2

AGENDA

The Need For High Performance11

The challenge22

The limitations today 33

Resulting trends44

Impact on Data center Infrastructure55

3

AGENDA

The Need For High Performance11

The challenge22

The limitations 33

A better solution44

Junipers products and next steps55

4

TRANSACTIONS BECOME BANDWIDTH DISTRIBUTED TO THE FINANCIAL COMMUNITY (TERABITS/SEC) FROM OPRA SYSTEM

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 20150

2

4

6

8

10

12

14

16

5

400+ YEARS OF RAPID TECHNOLOGY ADOPTION

And a rich history of technology innovation in markets…

First stock ticker to disseminate data (1867)

First telephones on the trading floors (1878)

First electronic ticker display board (1966)

Wireless handheld devices on Trading floors 15 years before ipad invented (1995)

Industry’s first private network offeringglobal connectivity

Industry’s private network exceeds 1TbS

6

AGENDA

The Need For Speed11

The challenge22

The limitations 33

A better solution44

Junipers products and next steps 55

7

FSS CHALLENGES

Regulatory model is driving change Requirement for long term retention of data Requirement to archive meta data Real time risk management is now required

FSS is evolving to a commodity industry Time to market must be faster Product life time is shorting Margins are reducing driving OPEX reduction

Technology adoption is continuing to accelerating to meet accelerating business needs Fuel the race to the triple crown of technology (0 cost, 0 latency, 0 time to market);

Technology is a strategic weapon Bandwidth demand continues to grow at 30% - 50% per year. Comprehensive management and orchestration of the data center

Fundamental new architectures are required Flat Clos like architectures Tightly coupled datacenter network to the wide area optical network Tightly couple the Networks and the servers - SDN

8

A TYPICAL CHALLENGE

Matching engine

CustomerGatewaySymbol routing

risk management

TO

R

CORE

TO

R

TO

R

TO

R

TO

R

TO

R

TO

R

TO

R

CORE

CORE

CORE

Grand Total ≈150.0µS

Trade Plant Size:≈ 100 Servers≈ 1500 Ports

9

AGENDA

The Need For Speed11

The challenge22

The limitations today 33

A better solution44

Junipers products and next steps55

10

LATENCY REDUCTION TRENDS (TOR)

2008 2010 2011 2012 2013

Ethernet is narrowing the gap to Infiniband; industry tracking to < 450ns in 2013

11

SLOWING OF PROCESSOR SPEED

0 5 10 15 20 25 30 35 40 450

0.5

1

1.5

2

2.5

3

3.5

4

4.5

processor speed

processor speed

12

THE TRADE OFF AXIS

SC

ALE

RE

LIA

BIL

ITY

FEATURE VELOCITY

LATENCY

13

AGENDA

The Need For Speed11

The challenge22

The limitations 33

Resulting trends44

Junipers products and next steps55

14

A DIFFERENT APPROACH - DISTRIBUTED COMPUTING

Matching engine

TO

R

TO

RT

OR

TO

R

CORE

CORE

Grand Total ≈100.0µS Reduced by 50µS

Customer

Risk Management embedded in TOR

Symbol routing embedded in

TOR

NIC

NIC

Data pre/post processing

Trade Plant Size:≈ 60 Servers≈ 1000 Ports

15

APPLICATIONS EMBEDDED NETWORKING – THE NEW WAY TO REDUCE LATENCY AND COST

The race to zero is ending at about 200 – 500NS for a reasonable switch Need to focus on a different approach

Imbed application snippets into the switching fabric Lower latency Eliminates servers Reduces network ports

Imbed snippets at the control or data plane of the network Application can be embedded in a VM in the switch of into

a FPGA in the data path of the switch

16

RETURN OF THE CLOS DATA CENTER FABRICS

100% of all National market da runs on JNPR

90% Allequity order flow

All US markets distribute market data over JNPRData Center 1 LayerCarrier Hotel

CustomerConnections

17

DATA CENTER SIMPLIFICATION LOWERCOST AND EASE OF USE

Four architectures for a data center, all the same building blocks Stand alone TOR’s MC-LAG Virtual Chassis Fabric

Solutions range from classic to fabric

All share common management support

All are SDN enabled and support advanced management tools and scripting

18

WAN – FSS BUILDING THEIR OWN PRIVATE CARRIER NETWORKS

Lease a service/cloud Shared service Reduced agility Resiliency tested at failure time Easy solution – no need for a technical staff Good solution for a medium to small firm

Build and operate a private cloud Dedicated service Rapidly adaptable to meet changing requirements Customer defines and validates resiliency, easing regulatory

compliance Needs a small skilled staff Lower cost as third parties profit is removed

19

AGENDA

The Need For Speed11

The challenge22

The limitations 33

A better solution44

Impact on the data center infrastructure55

20

IMPACT ON COMPUTE AND NETWORK

Centralize processing where you can distribute where you mustProcessors and network switches and hitting natural limitsTo achieve a high performance infrastructure compute resource

must be distributedOptimize computing in the Server, NIC(FPGA), and network

Switches(VM’s and FPGA’s) – not just one place

Drive to Clos fabricsHeavy East – West TrafficCompounded Bandwidth growth > 20% per yearAll networks become virtual

21

BANDWIDTH DEMANDS

Servers will be requiring 40G As CPU cores increase by 2016 server bandwidth will need 40G High end servers will need 100G Servers at 100G will drive the need for network links of 400G and

1T

22

IMPACT OF SDN/NFV/ORCHESTRATION

Manages virtual fiber plant

Controls the adds/moves/changes from the servers via overlays

Increased need to design the cable plant correct and for a longer life

Merging of network, server, and storage teams into one

23

THANK YOU!