EVOLVING TRENDS IN HIGH PERFORMANCE INFRASTRUCTURE Andrew F. Bach Chief Architect FSI – Juniper Networks.

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Presentation transcript:

EVOLVING TRENDS IN HIGH PERFORMANCE INFRASTRUCTURE Andrew F. Bach Chief Architect FSI – Juniper Networks

2 AGENDA The Need For High Performance 11 The challenge 22 The limitations today 33 Resulting trends 44 Impact on Data center Infrastructure 55

3 AGENDA The Need For High Performance 11 The challenge 22 The limitations 33 A better solution 44 Junipers products and next steps 55

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

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 offering global connectivity  Industry’s private network exceeds 1TbS

6 AGENDA The Need For Speed 11 The challenge 22 The limitations 33 A better solution 44 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 Customer Gateway Symbol routing risk management TOR CORE TOR CORE Grand Total ≈150.0µS Trade Plant Size: ≈ 100 Servers ≈ 1500 Ports

9 AGENDA The Need For Speed 11 The challenge 22 The limitations today 33 A better solution 44 Junipers products and next steps 55

10 LATENCY REDUCTION TRENDS (TOR) Ethernet is narrowing the gap to Infiniband; industry tracking to < 450ns in 2013

11 SLOWING OF PROCESSOR SPEED

12 THE TRADE OFF AXIS SCALE RELIABILITY FEATURE VELOCITY LATENCY

13 AGENDA The Need For Speed 11 The challenge 22 The limitations 33 Resulting trends 44 Junipers products and next steps 55

14 A DIFFERENT APPROACH - DISTRIBUTED COMPUTING Matching engine TOR CORE Grand Total ≈100.0µS Reduced by 50µS Customer Risk Management embedded in TOR Symbol routing embedded in TOR NICNIC NICNIC 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% All equity order flow All US markets distribute market data over JNPR Data Center 1 LayerCarrier Hotel Customer Connections

17 DATA CENTER SIMPLIFICATION LOWER COST 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 Speed 11 The challenge 22 The limitations 33 A better solution 44 Impact on the data center infrastructure 55

20 IMPACT ON COMPUTE AND NETWORK  Centralize processing where you can distribute where you must  Processors and network switches and hitting natural limits  To achieve a high performance infrastructure compute resource must be distributed  Optimize computing in the Server, NIC(FPGA), and network Switches(VM’s and FPGA’s) – not just one place  Drive to Clos fabrics  Heavy East – West Traffic  Compounded Bandwidth growth > 20% per year  All 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!