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STAC Report™Highlights IBM WMQ LLM with IBM x3650 servers, Mellanox ConnectX®-2 EN with RoCE and Juniper Networks QFabric System (SUT ID: LLM120109) STAC-M2™ Benchmarks v1.0 Tested by: STAC Test date: 9 Jan 2012 Report 1.0.0, 23 Feb 2012 This document was produced by the Securities Technology Analysis Center, LLC (STAC ® ), a provider of performance measurement services, tools, and research to the securities industry. To be notified of future reports, or for more information, please visit www.STACresearch.com. Copyright ©2012 Securities Technology Analysis Center, LLC. "STAC" and all STAC names are trademarks or registered trademarks of the Securities Technology Analysis Center, LLC. Other company and product names are trademarks of their respective owners.

STAC Report Highlights

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Report of benchmarking of a full QFabric System, based on the same STAC M2 standards—the first-ever STAC benchmark on a data center network fabric (or any network environment more complex than a single switch). This is significant because in a traditional tiered network, latency and jitter add up, meaning the larger the network gets, the less deterministic it is. Only QFabric has proven to deliver fast, predictable performance across the more complex environment. The benchmark determined the mean latency for the QFabric System, which in the STAC M2 test was rated at 10 microseconds (μsec). For comparison purposes, the best published score Cisco recorded for its Nexus 5010 switch had a mean latency of 14 microseconds (μsec).

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Page 1: STAC Report Highlights

STAC Report™Highlights

IBM WMQ LLM with IBM x3650 servers, Mellanox ConnectX®-2 ENwith RoCE and Juniper Networks QFabric System

(SUT ID: LLM120109)

STAC-M2™ Benchmarks v1.0Tested by: STAC

Test date: 9 Jan 2012Report 1.0.0, 23 Feb 2012

This document was produced by the Securities Technology Analysis Center, LLC (STAC®), aprovider of performance measurement services, tools, and research to the securities industry.To be notified of future reports, or for more information, please visit www.STACresearch.com.Copyright ©2012 Securities Technology Analysis Center, LLC. "STAC" and all STAC names aretrademarks or registered trademarks of the Securities Technology Analysis Center, LLC. Othercompany and product names are trademarks of their respective owners.

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STAC Report Highlights STAC-M2.v1.0 - LLM120109

Disclaimer

The Securities Technology Analysis Center, LLC (STAC®) prepared this report at the request ofJuniper Networks. It is provided for your internal use only and may not be redistributed, retrans-mitted, or published in any form without the prior written consent of STAC. All trademarks in thisdocument belong to their respective owners.

The test results contained in this report are made available for informational purposes only. STACdoes not guarantee similar performance results. All information contained herein is provided on an“AS–IS” BASIS WITHOUT WARRANTY OF ANY KIND. STAC has made commercially reasonableefforts to adhere to published test procedures and otherwise ensure the accuracy of the contentsof this document, but the document may contain errors. STAC explicitly disclaims any liability what-soever for any errors or otherwise.

The evaluations described in this document were conducted under controlled laboratory conditions.Obtaining repeatable, measurable performance results requires a controlled environment with spe-cific hardware, software, network, and configuration in an isolated system. Adjusting any singleelement may yield different results. Additionally, test results at the component level may not beindicative of system level performance, or vice versa. Each organization has unique requirementsand therefore may find this information insufficient for its needs.

Customers interested in analyzing their own environment using the same methodology used in thisreport are encouraged to contact STAC or visit www.STACresearch.com/harnesses.

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Contents

Summary 4

1 Background on the STAC-M2 Benchmark specifications 7

1.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

1.2 Test cases used to produce the STAC-M2 Report Card . . . . . . . . . . . . . . . . . . . . . . . . 9

2 Product background 12

3 Project participants and responsibilities 14

4 Contacts 14

5 Benchmark Status 14

6 Methodology 14

6.1 Specifications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

6.2 STAC Test Harness . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

6.3 Limitations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

7 Stack under test 16

7.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

7.2 Producer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

7.2.1 Servers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

7.2.2 Network interfaces . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

7.2.3 Operating System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

7.3 Consumer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

7.4 Interconnects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

7.5 Application Software . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

7.6 Configuration for Slow Consumers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20

8 Vendor Commentary 20

9 STAC Notes 21

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SummaryThe Securities Technology Analysis Center (STAC) ran STAC-M2 Benchmarks on a stack consisting of JuniperNetworks’ QFabric System and IBM’s WebSphere MQ Low Latency Messaging (LLM) running on IBM xSeries®servers and using RDMA Over Converged Ethernet (RoCE) to drive Mellanox ConnectX®-2 EN adapters (seeSection 7 for system details). This report documents the results.

STAC-M2 v1.0 delivers hundreds of test results, which are presented through a variety of tables and visualiza-tions in this STAC Report™. Juniper, IBM, and Mellanox wish to highlight the following:

This was the first STAC-M2 benchmark to utilize a data center-scale network fabric as the interconnect,rather than a single switch. Each message in these tests transited an ingress QFabric Node (QFX3500),a QFabric Interconnect (QFX3008), and an egress QFabric Node (QFX3500). Juniper’s intent in testinga complete QFabric System was to document the performance of a data center fabric that the companyclaims is managed as simply as a single switch, delivers the low-latency and jitter expected of a stan-dalone low-latency switch, but has the port capacity and backplane scalability to support thousandsof endpoints (see Section 2 for more product background). Juniper believes that by delivering meanlatency of 10 µsec and jitter of 1 µsec in the baseline test (STAC.M2.v1.0.BASELINE.LAT1), they havemet that goal.

According to Juniper, trading firms dealing with big data and other challenges increasingly want to enable themid- and back-office to run at a speed comparable to their front-office trading systems. Juniper says it has seenuse cases in which complex event processing, risk engines, back testing and multi-venue, multi-asset strategiesall run in a single domain (with the associated security and virtualization required to segregate traffic whereneeded). The vendors in this project believe that the Juniper fabric and IBM messaging software, together withIBM servers and Mellanox NICs, represent a solution that can scale to thousands of servers while providing"front office" latency and capacity, allowing back-office systems to provide more timely support to front-officetrading platforms. In these firms’ view, this audited benchmark demonstrates that the solution offers the lowlatency and deterministic performance required to deliver bids and orders at the lightning speed of today’smarkets.

STAC-M2 tests the ability of messaging middleware to handle real-time market data under a variety of condi-tions. The tests provide key performance metrics such as latency, throughput, power efficiency, and CPU/memoryconsumption under several scenarios, including both undisturbed flow and exception conditions like slow con-sumers. Version 1.0 of STAC-M2 was approved by the STAC Benchmark Council on 11 September 2009.Section 1 includes both an overview of STAC-M2 and diagrams that summarize each test case used to producethe STAC Report Card. The diagrams have labels that correspond to the spec IDs in the Report Card. Under-standing the tests in more detail requires access to the detailed STAC-M2 specifications, which are available toContributor and Recipient members of the Council (membership is open to trading organizations and vendors;see www.STACresearch.com/council).

STAC tested the solution against all of the required STAC-M2 Benchmark specifications, except for those thatrequired the stack under test to provide a last-known-value cache. IBM attested that LLM does not support thisfunctionality, and this exception is allowed under STAC-M2. IBM says that its customers are able to use LLM asthe base for custom-built market data systems that include caching functionality and that LLM is also integratedwith the IBM WebSphere Front Office for Financial Markets product (www.ibm.com/software/integration/wfo),which supports caching, among other features. For this report, IBM chose not to involve products beyond LLM.

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Get the rest of the story!

These STAC Report Highlights provide some insight into the performance of the stack that wastested, but there’s more to the story. The full STAC Report contains additional information, including:

1) Results from additional test cases:- Tests with three distinct types of slow consumers- Tests where one or a group of clients restarts during message flow- Tests with two Producers, not just one

2) Latency versus throughput for a range of message rates, including the highest rate tested.

3) Deeper latency analysis:- Full latency statistics for the highest message rate tested, not just the base rate- Latency percentiles all the way to six nines (99.9999th), not just 99th- Visualizations such as histograms and time plots of latency over test runs

4) Additional metrics (recovery times in restart cases, an additional latency metric that shows un-derlying transport speed, factoring out any latency due to queuing prior to send).

The full STAC Report is in the STAC Vault™. The Vault is only accessible to those firmswith an appropriate membership in the STAC Benchmark Council. For more information, seewww.STACresearch.com/vault.

The STAC Report Card summarizes results from several of the STAC-M2 test cases. Each benchmark hasa unique identifier. If you are comparing these results to other STAC-M2 Benchmark results, make sure theidentifiers match exactly. If they do not, they cannot be fairly compared. To obtain a copy of the STAC-M2 TestHarness to run the same STAC Benchmarks™on a system in your own lab, contact [email protected].

STAC and the STAC-M2 working group have taken great pains to identify and describe the limitations inherentin the STAC-M2 methodology (see Section 6.3). Some tradeoffs were made in version 1.0 in the interest ofgetting a set of specifications to market that could begin the process of standards-based benchmarking of high-performance messaging systems. As the industry gains experience with STAC-M2 v1.0 and provides feedback,the STAC-M2 working group will consider additional specifications and perhaps modifications to the existingspecifications that will improve a future version of STAC-M2. To participate in this process, please [email protected].

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STAC-M2 REPORT CARDIBM WMQ Low Latency Messaging v2.6.0.3 (LLM120109)

Type Spec ID Description VALUE MEAN MED 99P MAX STDV

Late

ncy

STAC.M2.v1.0.BASELINE.LAT1 SupplyToReceive Latency (Hybrid) at base rate in the 1:5 setup with no watchlistoverlap (µsec)

10 10 15 35 1

STAC.M2.v1.0.OVERLAP.LAT1 SupplyToReceive Latency (Hybrid) at base rate in the 1:5 setup with some watchlistoverlap (µsec)

10 10 14 36 1

STAC.M2.v1.0.FLEXIBLE.LAT1 SupplyToReceive Latency (Hybrid) at base rate in the setup with flexible Consumerresources (µsec)

11 11 15 35 1

STAC.M2.v1.0.CACHING.LAT1 SupplyToReceive Latency (Hybrid) at base rate in the 1:5 setup with caching enabled(µsec)

NS NS NS NS NS

Thr

ough

put

STAC.M2.v1.0.BASELINE.TPUT1 Highest supply rate tested in the 1:5 setup with no watchlist overlap (msg/sec) 1,700,000

STAC.M2.v1.0.OVERLAP.TPUT1 Highest supply rate tested in the 1:5 setup with some watchlist overlap (msg/sec) 1,700,000

STAC.M2.v1.0.FLEXIBLE.TPUT1 Highest supply rate tested in the setup with flexible Consumer resources (msg/sec) 1,600,000

STAC.M2.v1.0.CACHING.TPUT1 Highest supply rate tested in the 1:5 overlap setup with caching enabled (msg/sec) NS

CP

U

STAC.M2.v1.0.SINGLE.CPU1 Consumer CPU utilization at base rate in the 1:1 setup (core equivalents) ActiveCores = 2

1.99 2.00

STAC.M2.v1.0.SINGLE.CPU2 Producer CPU utilization at base rate in the 1:1 setup (core equivalents) ActiveCores = 3

2.30 2.65

STAC.M2.v1.0.FIELDS1.CPU1 Consumer CPU utilization at base rate in the 1:1 setup with complete field consump-tion (core equivalents)

ActiveCores = 2

1.99 2.00

STAC.M2.v1.0.TINYLISTS.CPU1 Consumer CPU utilization in the 1:5 setup with four tiny-watchlist Consumers at baserate (core equivalents)

ActiveCores = 2

1.99 2.00

Mem

ory

STAC.M2.v1.0.SINGLE.MEM1 Max memory utilization of the Consumer machine at base rate in the 1:1 setup (MB) 344

STAC.M2.v1.0.SINGLE.MEM2 Max memory utilization of the Producer machine at base rate in the 1:1 setup (MB) 349

STAC.M2.v1.0.FIELDS1.MEM1 Max memory utilization of the Consumer machine at base rate in the 1:1 setup withcomplete field consumption (MB)

342

Dat

a-ce

nter

Effi

cien

cy

STAC.M2.v1.0.FLEXIBLE.MPW FLEXIBLE.TPUT1, divided by adjusted watts in the setup with flexible Consumerresources (msg/Watt)

32

STAC.M2.v1.0.FLEXIBLE.MPU1 FLEXIBLE.TPUT1, divided by rack units in the setup with flexible Consumer re-sources (msg/U)

23,529

STAC.M2.v1.0.FLEXIBLE.MPO FLEXIBLE.TPUT1, divided by OS impressions in the setup with flexible Consumerresources (msg/impression)

200,000

.

NOTE: "NS" means not supported. The vendor attests that the product configuration tested does not support the functionality necessary to produce this benchmark.

6

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1. Background on the STAC-M2 Benchmark specifications

1.1 Overview

The STAC-M2 Benchmark specifications test the ability of a solution such as messaging middleware to handlereal-time market data in a variety of configurations. The specs reflect the input of seven leading trading firmsand six vendors of high-performance messaging. They provide key performance metrics such as throughput,latency, power efficiency, and CPU/memory consumption under several scenarios.

As shown in Figure 1, the software binaries required for a STAC-M2 test are Producer and Consumer appli-cations written to interface to the "stack under test" (SUT). These incorporate the STAC-M2 Library to controlbehavior. The test specs make no assumption about the architecture of the SUT (brokerless vs broker-based,appliance vs software, Ethernet vs InfiniBand, etc.). The fundamental hardware requirement is a small num-ber of machines to host the Producers and Consumers. Some specs are designed to enable arbitrarily largetest harnesses for scale testing, but such testing is not required. STAC-M2 does not require any proprietaryhardware for time sync or wire capture.

Figure 1 - High-level view of STAC-M2 test harness

The harness uses a "reflection" methodology for round-trip latency measurement, illustrated in Figure 2. AProducer transmits a "primary" message; a Consumer consumes the message and selectively republishesit as a "reflected" message; and the Producer consumes the reflected message. Multiple Consumers canreceive primary messages from a given Producer, which in turn can receive reflected messages from multipleConsumers. Latency is measured from the earliest moment a primary message is available for sending in theProducer to the moment the reflected message payload is available for consumption in the proper format inthe Producer (ReceiveTime minus SupplyTime in Figure 2). This result is divided by two to provide a "HybridLatency." Hybrid Latency is indicative of one-way latency but may not be exact, because the reflected messagerate is always a fraction of the primary message rate.

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Figure 2 - Component-level view of STAC-M2 Producer/Consumer methodology

Version 1.0 of STAC-M2 draws from equities and options use cases: smart order routing, pairs trading, market-making, and black-box trading. Some specs emulate "latency minimizing" deployments, where application own-ers tend to over-provision resources to avoid contention. Other specs emulate "cost-minimizing" deployments,where application owners care more about total cost, meaning that they may load multiple apps onto a givenmachine.

The specs vary the number of Producers and Consumers, the watchlist sizes and commonality among Con-sumers, whether the SUT must cache, and whether it must deliver parsed or opaque messages. They testcommon exception conditions like slow Consumers and application restarts.

Version 1.0 supplies messages modeled on observed output of US equities order-book feed handlers deployedin the field. The STAC Library supplies messages to the Producer Adapter as pointers to C structs containinga 24- to 32-byte header and a 232-byte payload containing 136 bytes of data. The Producer Adapter can sendthe payload as an opaque buffer or use a SUT-specific encoding algorithm. Note that these sizes are purelythe size in memory of data going into and out of the adapter. They say nothing about the size of a message asa SUT represents it internally or across a wire. Version 1.0 of STAC-M2 supplies messages at a steady-staterate. Future versions can include more message types, sizes, and timing patterns.

For more details on STAC-M2, see www.STACresearch.com/m2. Most of the materials are restricted to Councilmembers. To gain access or to provide input on future versions of STAC-M2, please contactcouncil@STACresearch.

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1.2 Test cases used to produce the STAC-M2 Report Card

Below are diagrams that summarize the test sequences (setups and scenarios) used to generate the resultsin the STAC Report Card (additional sequences were used to generate the full test results contained in thecomplete STAC Report). The specification IDs in the STAC Report Card embed the name of the relevantsequence below. The sequences are presented in the order in which they are referenced in the STAC ReportCard.

Sequence BASELINE:

Figure 3

Sequence OVERLAP:

Figure 4

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Sequence FLEXIBLE:

Figure 5

Sequence CACHING:

Figure 6

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Sequence SINGLE:

Figure 7

Sequence FIELDS1:

Figure 8

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Sequence TINYLISTS:

Figure 9

2. Product backgroundJuniper Networks submitted the following information and claims about its products:

Juniper Networks QFabric is a data center network fabric that flattens the entire network to a singletier, where up to 6,144 servers have equal access, eliminating the effects of network locality. TheQFabric architecture also eliminates the need for protocols such as Spanning Tree, TRILL or SPBwhile reducing network latency to microseconds, improving the performance of every application inthe data center.

The QFabric System is composed of three separate but interdependent elements that are tradition-ally the primary components of a modular switch: line cards, backplane, and routing engines. Byliberating these components from the confines of a single box, the QFabric System delivers a highlyscalable fabric that easily grows along with the demands of the data center without suffering anyperformance degradation, while offering the management simplicity of a single switch.

QFabric Node turns the line cards that typically reside within a modular chassis into high-density,fixed-configuration, top-of-rack edge devices that provide access into and out of the fabric. QFabricInterconnect is a high-speed transport device that serves as the backplane in a QFabric System,interconnecting all QFabric Node edge devices in a full-mesh topology. QFabric Director is theQFabric System’s Routing Engine, providing all control and management services for the fabric.

These QFabric components work together, behaving as a single logical switch that enables any-to-any connectivity for servers, storage, existing network components, and other critical systemsin the data center, while providing a foundation for cloud-ready, virtualized and mobile computingenvironments. The QFabric System scales to support 6,144 ports and consistently delivers very lowlatency in a nonblocking and lossless architecture that supports Layer 2, Layer 3 and Fibre Channelover Ethernet (FCoE) traffic.

NOTE: The STAC-M2 tests in this project did not test a QFabric System at massive scale. Thetests used 8 ports spread across several QFabric Nodes. See Section 9, Vendor Commentary, fordiscussion of potential scale benchmarks.

IBM submitted the following information and claims about its products:

Key to the vision of a high-performance network fabric is a message bus that can meet the scale,service requirements, and low-latency expectations of every department within a trading firm. IBM

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Websphere MQ Low Latency Messaging (LLM) is a messaging transport that is highly optimizedfor the very high-volume, low-latency requirements of financial markets firms. Applications for LLMinclude the high-speed delivery of market data, transactional data, reference data, and event data inor between front-, middle-, and back-office. This includes:

• Market data from exchanges to data consumers• Market and reference data within the enterprise to analytic or trading applications• Trade data such as positions or orders to direct-market access and other trading applications• Event notifications for systems-monitoring, risk-analytics, and compliance applications• Gateway to matching engine high-availability connection with total ordering for stock exchange

scenarios.

The product is fully daemonless and provides peer-to-peer transport for one-to-one, one-to-manyand many-to-many data exchange. In addition to this message-delivery flexibility and the perfor-mance demonstrated in this report, LLM’s capabilities include:

• Reliable message delivery with fine-grained control of message delivery assurance• High availability to maintain system service levels and to protect the integrity of the data stream

when components fail• Message storage and replay at wire speeds for message recovery and auditing• Monitoring and congestion control to automatically detect bottlenecks and streamline data flow.• High-speed message filtering that supports fine-grained data multiplexing and efficient data

segmentation.• Direct shared memory communication and best of breed native support for InfiniBand and 10GE

connections.

NOTE: Not all of these features were necessarily enabled during the STAC-M2 tests. To learnmore about LLM’s abilities or to evaluate LLM for a specific use case, IBM asks customers to visitwww.ibm.com/software/integration/wmq/llm or to contact IBM at [email protected].

The tests were conducted on IBM’s xSeries®x3650 M3 servers equipped with the 3.47Ghz Intel®Xeon® Processor X5690 series and configured with 48GB of RAM on a 1333Mhz System bus.These servers provided the power, stability and configuration flexibility to optimize the performanceon the STAC-M2 test harness, with particular flexibility to use and tune the threading features re-quired to optimize performance.

The flagship System x rack server equipped with the intelligent Intel® Xeon® 5600 series proces-sors delivers high-performance per watt computing for business-critical applications thanks to lowtotal cost of ownership. Low power options like low-voltage processors and high-efficiency powersupplies draw less energy and produce less waste heat, helping to reduce data center energy costs.The x3650 M3 is the most expandable and upgradeable IBM two-socket rack server and can handlecustomers growing, demanding, data-dense and mission-critical application workloads until the nextdecade with high expandability/availability and manageability attributes that provide growth flexibility.And with a choice of up to sixteen 2.5-inch hot-swap SAS/SATA HDDs or solid-state drives, it offersup to 8.0TB of storage capacity.

Mellanox submitted the following information and claims about its products:

The Mellanox ConnectX®-2 EN Ethernet Network Interface Card (NIC) delivers the low-latency, high-throughput (10 & 40 GbE) and low CPU utilization, leveraging the RoCE (RDMA over ConvergedEthernet) standard. ConnectX®-2 EN adapters with RoCE are widely used in financial servicesfor removing I/O bottlenecks, lowering latency and jitter, and increasing message rates for high fre-quency trading, market data distribution and real-time risk management. More product informationis available at:http://www.mellanox.com/content/pages.php?pg=products_dyn&product_family=63&menu_section=28.

RoCE is based on the IBTA RoCE specifications and utilizes the Open Fabrics Enterprise Distribu-tion (OFED) verbs interface as the software interface between application layer and ConnectX®-2

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EN hardware. RoCE takes advantage of transport services support of various modes of communi-cation, such as reliable connected services and datagram services. RoCE uses well defined verbsoperations including kernel bypass, send/receive semantics, RDMA read/write, user-level multicast,user level I/O access, zero copy and atomic operations.

3. Project participants and responsibilitiesThe following firms participated in the project:

• Juniper Networks

• IBM

• Mellanox

• STAC

The Project Participants had the following responsibilities:

• IBM implemented the STAC-M2 adapter using the STAC Library.• Juniper and IBM configured and optimized the stack under test (SUT).• IBM provided the servers and messaging middleware.• Juniper Networks provided the QFabric System components including edge switches and interconnects.• Mellanox provided the 10GbE network adapters.• Juniper sponsored the Audit.• STAC conducted the STAC-M2 Benchmark Audit, which included inspecting the source code to the STAC-

M2 Producer and Consumer, inspecting the STAC Test Harness configuration, validating required SUTfunctionality, and executing the tests.

4. ContactsFor more information about Juniper products, please visit www.juniper.net/us/en/contact-us/.

For questions about this system configuration or the test results, contact [email protected] orvisit www.ibm.com/software/integration/wmq/llm.

For questions about STAC-M2, contact [email protected].

5. Benchmark Status• These test results were audited by STAC or a STAC-certified third party, as indicated in the Responsibilities

section above. As such, they are considered official results. For details, please seewww.STACresearch.com/reporting.

• The Vendor attests that the Producer and Consumer binaries provided for the audit were compiled fromthe same source code approved by STAC or a STAC-certified third party as part of this audit engagement.

• The Vendor attests that it did not modify the SUT during the audit.

6. Methodology

6.1 Specifications

This project followed the 1.0 version of the STAC-M2 Benchmark specifications. Full members of the STACBenchmark Council can access these specifications at www.STACresearch.com/m2.

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6.2 STAC Test Harness

STAC-M2 Library Version v1.0.4

STAC Lib Timing Config "system" (gettimeofday)

6.3 Limitations

• The latency metrics in version 1.0 STAC-M2 specifications are not true one-way latencies. They are"hybrid" values (round trip divided by 2), which should be interpreted as imperfect proxies for one-waylatency. Several factors potentially limit the accuracy of these proxies: 1) since the reflected message rateis a small fraction of the primary message rate, the workload is not symmetric, which means latency mightnot be symmetric (for example, latency from Producer to Consumer might be higher than from Consumerto Producer); 2) while the specs call for the primary and reflection paths to have symmetric configurations,such symmetry may not be possible for some SUTs, which could cause asymmetries in latency.

• The STAC-M2 Test Harness relies on software instrumentation for measurement, which has an impact onperformance. These limitations are consistent for all systems tested with this harness but are worth noting.In particular: 1) Because it is a reflection methodology, the latency measurements include some latencyfor the STAC-M2 Library to reflect messages (which is divided by 2 along with the rest of the round-triplatency); 2) reflection in the Consumer also takes CPU time, which increases the observed CPU utilizationof the Consumer and may decrease throughput; 3) the Producer is required to call the STAC-M2 Libraryto record a "Send" timestamp, which consumes some CPU and may reduce the max sustainable rate.

• When deployed in a Consumer, the threading model of the STAC Library used for this version of thespecifications emulates an application that requires business logic to execute in a different thread frommessage-consumption threads and requires serialized input to the business-logic thread from those otherthreads. This imposes a single-threaded bottleneck on performance of a single Consumer. Another com-mon application pattern in the industry is for an application to scale across multiple cores by partitioningbusiness logic by symbol and running multiple partition threads, each performing its own in-line messageconsumption. The latter pattern would potentially allow a single client to achieve higher throughput but isnot supported in this version of the specs. Similarly, each Producer has a single Supplier thread, whichlimits the total possible message supply rate for a given Producer. Specifications that allow an arbitrarynumber of Suppliers on a given machine may be added in the future but are not part of the 1.0 specs.

• Power measurements in this version of STAC-M2 are allowed to be rudimentary. It is acceptable to takeperiodic amp readings and multiply by voltage supplied to the power distribution units (PDU). This methodis known to have two sources of error: 1) accuracy of the meters in the PDUs, and 2) lack of accountingfor the power factor. More accurate power readings may be taken if available.

• The timing of Consumer coordination is only accurate to +/- one second. This could lead to some smallvariation in results from test run to test run.

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7. Stack under test

7.1 Overview

The stack under test (SUT) consisted of 8 IBM x3650 M3 Model 7945 rack-mounted servers. Each serverwas interconnected using one port of a Mellanox ConnectX®-2 10GE with RoCE 10 Gbps Ethernet Dual PortAdapter networked through the Juniper QFabric System. STAC-M2 Producer and Consumer applications usedIBM’s WebSphere MQ Low Latency Messaging (LLM) API for all communications and were configured to usedifferent multicast channels for primary messages from Producer(s) to Consumer(s) than for reflected messagesfrom Consumer(s) to Producer.

The STAC-M2 Adapter was dynamically linked with LLM. The OpenFabrics Enterprise Distribution (OFED)software was used for RDMA protocol support, allowing LLM and the STAC-M2 Adapter to work with a user-space kernel bypass protocol stack instead of the usual Linux kernel TCP/UDP stack.

For more detailed configuration information on the servers or software, contact [email protected].

Figure 10 - Test configuration

The Juniper QFabric System was configured as shown in Figure 11, with default Layer 3 configurations tosupport low-latency, cut-through switching. Consumer and Producer applications were configured on serversS1-S8 so that no Consumer server was connected to the same QFX3500 QFabric Node as a Producer serverwith which it communicated. This meant that all messages were required to transit two QFX3500 QFabric Nodesplus a QFX3008 QFabric Interconnect.

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Figure 11 - Test configuration

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7.2 Producer

7.2.1 Servers

Vendor Model IBM System x3650 M3 Model 7945

Rack Units 1

Power Supply 675 W

Processor type 2 x Intel Xeon CPU X5690 @ 3.47GHz

Cache L1 I cache: 32K, L1 D cache: 32K, L2 cache: 256K, L3 cache:12288K

Bus Speed 1333 MHz

Memory 48GB (6 x 8GB) DIMM

Disk 192GB

BIOS Vendor IBM

BIOS Version D6E153AUS-1.12

BIOS Release Date 06/30/2011

Hyperthreading Disabled

7.2.2 Network interfaces

NIC 2 – port 1 Mellanox MNPH29D-XTR ConnectX®-2 EN with RoCE

Used for Message Traffic

NIC Driver Version mlx4_en 1.5.3 (Jan 2011)

NIC Firmware Ver-sion

2.9.1000

NIC 1 – port 1 Broadcom Corporation NetXtreme II BCM5709 Gigabit Ethernet (rev20)

Used for Test Harness Admin

NIC Driver Version bnx2 v2.0.2

NIC Firmware Ver-sion

6.2.0 NCSI 2.0.11

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Network Stack Con-figuration

Contact Vendor for details

7.2.3 Operating System

Version Red Hat Enterprise Linux Server AS 5.5

Kernel Version 2.6.18-194.el5 (x86_64)

7.3 Consumer

Same as Producer.

7.4 Interconnects

Switch - Forwarding Plane Juniper QFX3500 QFabric Node

Switch - Forwarding PlaneRack Units

1U

Interconnect Juniper QFX3008 QFabric Interconnect

Interconnect Rack Units 21U

Director Juniper QFX3100 QFabric Director

Director Rack Units 2U

Switch - Control Plane Juniper EX4200 Ethernet Switch

Switch - Control Plane RackUnits

1U

7.5 Application Software

Product/component WebSphere WMQ Low Latency Messaging

Version 2.6.0.3

Build ID 20111013.1

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Product/component STAC Pack

Author IBM

Interface IBM WMQ LLM API v2.6.0.3

Source version v2.6.0.3

Producer build ID v 1.8 :: Dec 23 2011 - 14:03:20

Consumer build ID v 1.8 :: Dec 23 2011 - 14:03:19

7.6 Configuration for Slow Consumers

STAC-M2 requires all Consumers to be configured the same. In an Audit, the vendor does not know whichConsumers STAC will configure to exhibit slow consumption in a given test run. LLM allows for the specificationof slow-consumer policies that can be used to automatically suspend or expel receivers that are not performingwell. According to IBM, the LLM policies in these tests applied thresholds to the number of NAKs (negativeacknowledgements) generated by a Consumer and expelled slow Consumers from the system.

8. Vendor CommentaryJuniper Networks provided the following comments:

This particular test harness was purposely unique, in that our objective was to measure, documentand audit the performance characteristics of a large-scale data center fabric (the Juniper QFabricSystem). The network infrastructure offered far more capacity than required to meet the specificneeds of the test in order to showcase the entire QFabric System. The network in this test harnesscomprised four (04) QFX3500 QFabric Nodes, two (02) QFX3008 QFabric Interconnects, and two(02) QFX3100 QFabric Directors. An additional EX4200 Ethernet Switch was also deployed toprovide the management backplane (always discreet from the data path in a Juniper network) butwas not in the data path for the STAC-M2 Test Harness. The latter two QFabric Interconnect andQFabric Director components are always deployed as pairs for purposes of high availability. Whenconnected as a fabric, every component integrates into a single system image, and the full fabriccan be administered as a single system, with tasks such as OS updates or security policy changesonly needing to be applied one time. (More details on the Juniper QFabric System can be obtainedat http://www.juniper.net/us/en/products-services/switching/qfx-series/)

We distributed the eight System x3650 M3 Servers across the four nodes of the fabric and ran anunmodified STAC-M2 test harness. While normal tuning was applied to Kernel Settings, Ring Buffersand Core affinities with various threads, the test harness ran unmodified across the QFabric System.It is interesting to note that the QFabric Interconnects and QFabric Directors were actually locatedon a separate floor in the building. This is one more example of the flexibility and scale that theQFabric System offers with regards to physical location and floor planning.

We would like to discuss several points on the test results that bear further explanation.

Interoperability:

While the QFabric System represents a new approach to data center networking, andcan offer new levels of performance in large-scale environments, we would like to pointout that interoperability with the entire ecosystem was quite simple and standards based.The network interface cards (and RDMA Over Converged Ethernet [RoCE] drivers) ranunmodified across the full environment, as did the IBM Websphere LLM platform and theSTAC test harness itself. This highlights the fact that a QFabric System behaves as asingle switch using standard protocols and interfaces.

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Power Consumption:

The objectives for this test were a "scale out" to demonstrate the performance of a full-scale fabric. The SUT included nine powered system chassis to connect the eight servers,two of which (the QFX3008 QFabric Interconnect pair) require 208V power. This presentedtwo challenges. First, the large number of network devices relative to the number of pro-ducer/consumer servers distorts the Messages Per Watt ratings on theSTAC.M2.v1.0.FLEXIBLE.MPW test, and second, the power for the 208V products didnot come from a monitored PDU, so the STAC Auditor took the most conservative metric:the power draw for the entire circuit. While we don’t believe the Messages Per Watt isparticularly relevant in a test like this, the large number does merit some explanation.The full QFabric System has well-defined (and highly efficient) power consumption ratingswhich can be easily calculated from data sheet statistics for purposes of capacity plan-ning. The QFabric System configured for this STAC Benchmark is capable of supporting193-254 10 Gbps attached servers; however, this test involved only eight servers. Conse-quently, the Messages Per Watt rating is artificially high. In a production system, we wouldexpect the power efficiency to be proportionally better than the system documented here.

Test Configuration and Ease of Large Scale benchmarks:

We would like to thank the STAC organization for their responsiveness and flexibility aswe pushed the boundaries of the STAC-M2 Benchmarks to measure a data center-scalefabric. In the future, we think that tests at a larger scale would provide additional insight intoenterprise-scale performance and would like it to be easier to use more servers. STAC-M2does contain optional benchmark specifications for arbitrarily large scaling. And accordingto STAC, the STAC-M2 Advanced Test Harness (used by trading firms for internal testingbut not currently used for published benchmarks) can scale up to tens of thousands ofConsumers and Producers, so the test framework exists. However, server procurementis a big challenge because the current specifications require identical systems. Evenlarge manufacturers such as IBM and Juniper have a hard time securing large numbersof identical servers. We would have liked to test 100 or more servers but could only comeup with eight identical systems. We would like to propose some discussion in the Councilabout how to model and test large environments, perhaps using server virtualization or atleast mis-matched servers.

9. STAC NotesWe hear Juniper’s request for a re-consideration of the "identical systems" requirement in the context of alarge-scale test and will raise it with the STAC-M2 Working Group.

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About STAC

STAC is a technology-research firm that facilitates the STAC Benchmark Council™(www.STACresearch.com/council), an organization of leading trading organizations and vendors that specifiesstandard ways to measure the performance of trading solutions. STAC Benchmarks cover workloads in marketdata, analytics, and trade execution.

STAC helps end-user firms relate the performance of new technologies to that of their existing systems bysupplying them with STAC Benchmark reports as well as standards-based STAC Test Harnesses™ for rapidexecution of STAC Benchmarks in their own labs. End users do not disclose their results. Some STACBenchmark results from vendor-driven projects are made available to the public, while those in the STACVault™ are reserved for members of the Council (see www.STACresearch.com/vault).

To be notified when new STAC Benchmark results become available, please sign up for free atwww.STACresearch.com.

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