Distributed Compute for Both Performance and Cost Optimization - Maximizing Data Center Performance in Financial Services
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1 Distributed Compute for Both Performance and Cost Optimization - Maximizing Data Center Performance in Financial Services Andrew Bach, Chief Architect for Financial Services, Juniper Networks HPC Monday, September 21,
2 Agenda The Need for High Performance The Challenge The Limitations Today Redistribute Computing as a Solution 2 Copyright Juniper Networks, Inc.
3 Agenda The Need for High Performance The Challenge The Limitations Today Redistribute Computing as a Solution 3 Copyright Juniper Networks, Inc.
4 Timeline of the financial industry s Late 1900 s First Banks First Stock Issued REGIONAL Exchanges Developed Global Exchanges Developed 10, BCE OCE , BCE Local Trade Market OCE Trade Routes Established 1604 First Exchange Formed 1800 s Futures Market Developed 1800 s NaIonal Markets Developed 4
5 Scale of the business The total market cap of all listed companies is over $55 Trillion. Compared to country GDPs, that would make the sector the largest economy in the world. Largest Economies by GDP (in Trillions of $) US - $15T China - $7.5T $55 Trillion Market Cap Japan - $5.8T Germany - $3.6T India - $1.9T 5
6 Real money DTCC clears, settles over: $24 quadrillion dollars per year 24 X or $24,000,000,000,000,000 One US bank alone transacts over $35 Trillion dollars a day NYSE averages over $15B in the first 2 minutes after the open 6
7 400+ 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 offering global connectivity Industry s private network exceeds 1TbS 7 Copyright Juniper Networks, Inc.
8 Transactions become bandwidth Bandwidth of Transactions to the Financial Community from OPRA 8
9 Agenda The Need for High Performance The Challenge The Limitations Today Redistribute Computing as a Solution 9 Copyright Juniper Networks, Inc.
10 Financial Services Sector (FSS) Challenges 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 Requirement for long term retention of data Time to market must be faster Technology is a strategic weapon Exchange trading floors continue to fade away Requirement to archive meta data Real time risk management is now required Requirement for precision timing Increasing focus on cyber security Product life time is shorting Margins are driving OPEX reduction Regulation is increasing the cost of business Fueling the race to the triple crown of technology (0 cost, 0 latency, 0 time to market) Bandwidth demand continues to grow at 30% - 50% per year Rate of data growth is also increasing 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 10 Copyright 2015 Juniper Networks, Inc.
11 A Typical Challenge Exchange Gateway Trade Plant Customer Total Latency 150.0µS Trade Plant Size: 100 Servers 1500 Ports 11
12 A Typical Challenge Market Data Ticker Plant Feed handler & publishing servers Pub/sub server farm Client subscriber servers World Wide Market Data Feeds Internal Users 12
13 Next Challenge Heuristic Based Trading Market data feeds Heuristic Processing Historical Data Base News feeds Heuristic Processing Ticker Plant Heuristic Processing Trade Plant Execution Venues Social feeds Heuristic Processing Streaming news video Heuristic Processing Human Oversight and control 13
14 Agenda The Need for High Performance The Challenge The Limitations Today Redistribute Computing as a Solution 14 Copyright Juniper Networks, Inc.
15 Slowing of Processor Speed 15 Gigahertz
16 Latency Reduction Trends Industry tracking to 450ns 16
17 Agenda The Need for High Performance The Challenge The Limitations Today Redistribute Computing as a Solution 17 Copyright Juniper Networks, Inc.
18 Compute-Integrated Networking The new way to reduce latency and cost. The Race to Zero is Ending Embed Application Snippets into the Switching Fabric Embed Snippets at the Control or Data Plane of the Network At about NS 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) 18 Copyright 2015 Juniper Networks, Inc.
19 What Types of Computing Can We Use CPU Good for general purpose and data flow management FPGA Highly optimizable field programmable hardware executing custom code and data flow tasks ASIC Highly optimized purpose built processor, a Packet Forwarding Engine (PFE) for example Merchant silicon ASIC for the masses 19 Copyright Juniper Networks, Inc.
20 Network Switch/Application Acceleration/Packet Forwarding Accelerator NETWORK OS ACTIVE NETWORK OS STANDBY HYPERVISOR GUEST APPLICATION(S) Intel X86, DDR3, SSD PFE FPGA 20
21 Programing distributed compute systems cost effectively For X86 environment with VM/Containers either HLL or third party libraries For FPGA Data Flow OpenCL For PFE - Vendor supported API s 21 Copyright Juniper Networks, Inc.
22 A Different Approach: Distributed Computing for an Exchange Gateway Trade Plant Customer Total Latency 150.0µS Trade Plant Size: 100 Servers 1500 Ports Data pre/post processing Symbol routing embedded in Data center Switch Risk Management embedded in Data center Switch Customer 40% less ports Latency down 50µS Total Latency 100.0µS Trade Plant Size: 60 Servers 1000 Ports 22
23 A Different Approach: Market Data Ticker Plant Feed handler & publishing servers Pub/sub server farm Client subscriber servers World Wide Market Data Feeds Internal Users Feed handler & publishing in top of rack switch Pub/sub server farm Client subscriber imbedded in top of rack switch World Wide Market Data Feeds Internal Users 23
24 Impact on Compute and Network Centralize Processing Where You Can, Distribute Where You Must 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 24 Copyright 2015 Juniper Networks, Inc.
25 Thank You!
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