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Journey to the Open Grid

Soumik Sinharoy – Orange Silicon Valley
October 25, 2011, IBM Information on Demand – Las Vegas
Orange is ...
 world-leading communications
brand owned by France Telecom

 181 000 employees and 50.9 bn €
revenues in 2010
 serving over 216 million
customers in 32 countries over 5
continents - addl100m customers
from Asia and Africa by 2015
plus ...
 Over 2000 distribution outlets in
Europe

a leading retailer of premium content
& games with ~ 20 million downloads
per year in Europe

50 Orange application ~ 9 million
downloads from apps stores
216 million customers worldwide…

                                                        United Kingdom
                                                                               Poland
                                                                      Belgium
                                                                     LuxembourgSlovakia
                                                                          Austria      Moldova
                                                           France               Romania
                                                                      Switzerland

                                                            Spain
                                                                                            Armenia


                                                                   Tunisia
                                                             Morocco
                                                                                             Jordan

                                          Western Sahara                            Egypt

                                                              Mali
                                                                       Niger
                                             Senegal
                     Dominican Republic
                                               Guinea                           Central African Republic
                         Guadeloupe                          Ivory Coast
                         Martinique                                        Cameroon
                                                                                   Uganda Kenya

                        Guyana

                                                                                                       Madagascar
                                                                                                                            Vanuatu
                                                                                 Botswana                    Mauritius
 Countries where we provide services for                                                                   Reunion Island
 residential customers

 Countries where we provide services for
 business customers


our Group provides services for residential customers in 35 countries and for
                                businesses
3,500 employees working on innovation


                                                      United Kingdom   Poland
                                                      London           Warsaw

                                                         8 cities in
                                                         France




                                         Spain                                         Japan
                              Madrid/Barcelona                                         Tokyo
        USA                                                                         China
San Francisco                                                                       Beijing




                                                                           Jordan
                                                                           Amman


                                        Ivory Coast
  Orange Innovation centers             Abidjan

                                                           Egypt
                                                           Cairo
Orange Silicon Valley: disruptive
innovations for the future
    Participate in the disruptive innovations
    Partnership and business development with
     companies, startups, and universities
    Introduce our business leaders to the latest
     solutions from Silicon Valley
    Co-development with the ecosystem
     benchmarking and diligence on new
     technologies in order to frame
     recommendations on technology and
     business strategy for France Telecom
     Group
    Executive Briefing -global customer
     management teams, and policy-makers
     about trends in the IT and communications
     business
The Journey
                 Open standards
                 Open architecture
                 Vendor neutral – level the playing field
                  for competition
                 Carbon footprint- Reduce power
                  usage
                 Improve end user experience
                 Compact infrastructure footprint
                 Dense Computing
                    – Compute density
                    – IO density
                    – Storage density



                                                     6
Infrastructure snapshot

   More than 30,000 of servers (EMEA)
   More than 50% deployments are 4-way
    to 64-way
   Enterprise storage
      – NAS (file sharing)
      – FC SAN (for most purposes)
   Challenges
      – Business growth demands for
        bigger platform sizing
      – Scalability barrier
      – Compute density
      – footprint
      – Application performance
        limitations
          – Architecture limitations
          – Interconnect technology



                                          7
SMP => Grid

                                             InfiniBand


                                        App Servers

                                     Database as Service Cluster




   Migration large databases from
    SMP to GRID (IBM SystemX
    Blades)
   90% reduction in server TCO
   InfiniBand QDR for server
    interconnect
   8G/4G FC SAN for Storage
                                                                   8
2008 research study at IBM Montpellier: SystemX
blades with Intel Xeon processors
                 ib0            Sql*net ( IPoIB) + IO (SRP)                                 IBM HS21 XM

                  IO (SRP)

                             Oracle RAC Cluster                 Apps Servers

                                          Oracle RAC interconnect + IO (SRP)
                                                                                          ib1
                                                                                          IO (SRP)
                                         Inter Switch Link
                       ISR9024M_DDR
                                                                                             ISR9024M_DDR


                                                               IB Storage

               Achieved
  # of nodes     TPM       Average ms Max IOPs
                                                                         IBM LSI DS5000
       4        763,038        44      27,880
       6       1,162,022       22      36,870
       8       1,665,183       33      46,067




                                                                                             9
Open Grid

Application / Database Server - INFINBAND      28 blades in IB QDR cluster
                                               FCoIB -> FC : Low Latency bridging
                                               FC SAN : capacity


IP to Fiber Channel - Gateway




Fiber Channel Storage - FIBER CHANNEL




                                                                              10
2010 study with IBM Sillicon Valley Labs : Integrate FC SAN with InfiniBand Cluster using DB2
PureScale




                                                                                      11
2010 study: DB2 pureScale benchmark results
                                            Scaling Results


            60,000


            50,000
                                                                                                    – 10,000 TPS per
                                                                                                      member (>3x 2008
            40,000
                                                                                                      study)
      TPS




            30,000                                                            Average TPS

                                                                                                    – 99% linear scalability
            20,000

                                                                                                    – data dips : transaction
            10,000
                                                                                                      anomaly
                    0
                        1 MBR      2 MBR     3 MBR       4 MBR        5 MBR
                                             Members




                                            Experiments 1-5 members


       12,000


       10,000


            8,000                                                                                        –   Standard table contained 2,500,000 rows
                                                                                            1 MBR
                                                                                            2 MBR        –   Transaction mix 80% read, 20% write
TPS




            6,000                                                                           3 MBR
                                                                                                         –   40+ connections to each member with zero
                                                                                            4 MBR
                                                                                            5 MBR
                                                                                                             think time
            4,000
                                                                                                         –   Read transaction consists of 10 random
            2,000
                                                                                                             select statements
                                                                                                         –   Write transaction consists of 3 random
               0                                                                                             update statements
                    1   35   69 103 137 171 205 239 273 307 341 375 409 443 477 511
                                                   Seconds




                                                                                                                                        12
Storage server equation

                           Need too many
                           servers for a
                           single disk




HDD: too many
spinning for few
servers!


The Inversion Phenomenon

                                           13
SSD based Video Storage at a 4KM distance

    16 diskless 8-12 core servers
    4 KM InfiniBand WAN
    2780 DVD quality videos streamed
    Only 13Gbps bandwidth used
    This is only 60% of pipe capacity
    only 2 SSD – ioDrive Duo
    Demo




                             QSFP
            SSD              transceiver

                                           4km
            SSD                            optical
                    InfiniBand Edge                  QSFP          InfiniBand Edge   InfiniBand Core
                    Switch
                                           link
                                                     transceiver   Switch            Switch
Flash Memory Adoption Trends, forecasts




                    Source IDC
                                                               Source :Flash Memory Summit „11

                                 Worldwide Enterprise SSD Share by Interface, 2010–2015




                                                                                                 IDC
                                                                                                  View



                                                                                    IDC: 2011
                                             Note:
                                             +PCIe 2.5” will vie for SATA and SAS

   Source Gartner                            share            Source IDC


                                                                                  15
OPEN GRID: Scale out with Flash




                                          Performance
                                                        Flash

T0


                                                                                  SAN
T1
                                                            Source : nutanix
                                                                               Capacity




               Server side scale out flash – Tier 0
               Low cost capacity of existing SAN with HDD
                                                                                     16
Scale on Flash - unify fabric

   Scale out tier – 0 with PCIe flash
   ISV : manage cache ?
   PCIe : secondary buffer pool
   Unified IO
      – IO Virtualization
      – reduce interconnect cost
      – transparent bridging




                                                                         HBA
                                                                 HBA
                                                           HBA
                                                     HBA
                                               HBA
                                         HBA
                                   HBA




                                                                       Unified IO :




                                                                               17
18
IBM SVL OSV : Experiment Results

   Stream Computing:                                OLTP Cluster
     – Processing transactions “In-                     – Rates measured using SAN
                                                          and IBM HighIOPS for logs
       Motion”
                                                        – DB2 pureScale avg tps
     – Fundamental Validations –                           using 2 x Data Members
       Account, Merchant, Limit, Ra                       and SAN: 47K TPS
       ting(AMT)                                        – DB2 pureScale avg tps
                                                           using 2 x Data Members
     – Able to handle “Burst” traffic                     and FLASH: 84K TPS
       and cache database
                                                        – 2X Improvement using
       operations                                         FLASH storage for database
                                                          logs!
                                                        – performance threshold – not
                                                          reached yet : need to add
                                                          more stream servers



      scalability effort continues : results to be published

                                                                                      19
LD JCTD Operational Utility Assessment

    CREATE LOCALLY




                                      Large
                                      Data                             LD
                                                                            LD
                     LD


                                                                                  LD

                                                                       LD
                              “While the first of about 10 files was
                               still being transferred to the legacy
                              work station, Large Data had all ten               SHARE GLOBALLY
                                               files.”
                              LD JCTD IOUA Report, Nov 09, JHU/APL



           Globally Synchronized, Shared Data and High Resolution Collaboration
Operational Demonstration Results



                                                                           Operational Impact
                                                   • GEOINT access & web services for warfighters
                                                   • UNCLAS US Gov’t and NGO support
                                                   • Remote access to large, distributed ISR files
                                                   • Data virtualization & near real-time failover
                                                        “Simply put, the system NRL has in place for delivering
                                                    large, AOI detailed imagery is outstanding and truly a model for
                                                                              the DoD/IC.”
                                                                                  – Sean Wohltman, Google Inc.

                                                               Performance Results Summary as a
                                                      Fraction of Theoretical Maximum Data Transfer Rate
                                                                                RDMA/IB                              TCP/IP/Ethernet
                                                     NETWORK
                                                                           Single           Multiple              Single       Multiple
                                                     (Bandwidth
                                                      Efficiency)          Stream           Streams               Stream       Streams
                                                  Transition Metric
                                                                         75% / 90%         80% / 90%             75% / 90%     80% / 90%
                                                 Threshold/Objective
                                                 Wide Area Network
                      Suitability                                          94% ++            98% ++                86% +         17%
                                                  (2,000 fiber miles)
  • Demonstrated TRL-7/8/9                         Long-Haul WAN
                                                                           89% +             83% +                  42%          22%
  • Cost effective, open source                  (13,000 fiber miles)
  • Commodity components                            FILE SYSTEM                             Multiple                           Multiple
                                                                         Single File                             Single File
  • Stability/availability on par with               (Read/Write)                            Files                              Files
    operational systems                           Transition Metric
                                                                         60% / 80%         60% / 80%             60% / 80%     60% / 80%
                                                 Threshold/Objective
  “A quick overview of the system was all that     Long-Haul WAN
                                                                          72% ++             94% ++                 34%           6%
         was required for ease of use”           (13,000 fiber miles)
                        -- LD User                                      Meets Threshold + / Meets Objective ++

                                                  Effectiveness: LD met or exceeded Transition Thresholds
RDMA transport : Long Haul ?




RDMA transport : Global Range
?
developing the networks of the future

the challenges ahead
   respond to the massive increase in traffic: by 2015, we expect the standard level of
    mobile data traffic to have risen by 26 times
   expand coverage and increase our speed to keep pace with the digital revolution
   constantly improve the quality of our services
   renew our infrastructures while respecting the environment
40G InfiniBand over 370 KM : ESNet ANI Tested


                                  Orange Silicon Valley qualify
                                   world’s first long haul 40G
                                   InfiniBand solution
                                  Collaboration with US
                                   Department of Energy
                                   Field trial on DoE 370KM
                                    circuit
                                   90%+ transport efficiency
                                   under concurrent streaming



                                    Maximum bandwidth
                                    Unidirectional 3.8 GB/s,
                                    Bidirectional 7.6 GB/s
Open Grid:
    Cross boundaries : global scale
                                              Dissemination of
                                               information throughout
 Grid           Grid            Grid
                                               the enterprise

              WAN                             Synchronize distributed
                                               enterprise data centers
Storage        Storage         Storage
Server         Server          Server
                                Data
                                              Ultra Low Latency
 Data          Data
Center        Center           Center          Fabric across long haul




              Storage Network Backbone :
             CONVERGENCE PHENOMENON

                                                                  25
Seattle Nov - 2011




                                                  OC 768
                                               Streaming (?)
                                                                             SSD
                                               Video streams
SEA

                        CHI            NYC
                                       MANLAN at AoA
              6,000 miles !
 SLC
                                           BNL



       continental US
                              World’s first 40Gbps Long Haul InfiniBand !!
Thank You




            27

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[En] Orange Open Grid presentation

  • 1. Journey to the Open Grid Soumik Sinharoy – Orange Silicon Valley October 25, 2011, IBM Information on Demand – Las Vegas
  • 2. Orange is ...  world-leading communications brand owned by France Telecom  181 000 employees and 50.9 bn € revenues in 2010  serving over 216 million customers in 32 countries over 5 continents - addl100m customers from Asia and Africa by 2015 plus ...  Over 2000 distribution outlets in Europe a leading retailer of premium content & games with ~ 20 million downloads per year in Europe 50 Orange application ~ 9 million downloads from apps stores
  • 3. 216 million customers worldwide… United Kingdom Poland Belgium LuxembourgSlovakia Austria Moldova France Romania Switzerland Spain Armenia Tunisia Morocco Jordan Western Sahara Egypt Mali Niger Senegal Dominican Republic Guinea Central African Republic Guadeloupe Ivory Coast Martinique Cameroon Uganda Kenya Guyana Madagascar Vanuatu Botswana Mauritius Countries where we provide services for Reunion Island residential customers Countries where we provide services for business customers our Group provides services for residential customers in 35 countries and for businesses
  • 4. 3,500 employees working on innovation United Kingdom Poland London Warsaw 8 cities in France Spain Japan Madrid/Barcelona Tokyo USA China San Francisco Beijing Jordan Amman Ivory Coast Orange Innovation centers Abidjan Egypt Cairo
  • 5. Orange Silicon Valley: disruptive innovations for the future  Participate in the disruptive innovations  Partnership and business development with companies, startups, and universities  Introduce our business leaders to the latest solutions from Silicon Valley  Co-development with the ecosystem benchmarking and diligence on new technologies in order to frame recommendations on technology and business strategy for France Telecom Group  Executive Briefing -global customer management teams, and policy-makers about trends in the IT and communications business
  • 6. The Journey  Open standards  Open architecture  Vendor neutral – level the playing field for competition  Carbon footprint- Reduce power usage  Improve end user experience  Compact infrastructure footprint  Dense Computing – Compute density – IO density – Storage density 6
  • 7. Infrastructure snapshot  More than 30,000 of servers (EMEA)  More than 50% deployments are 4-way to 64-way  Enterprise storage – NAS (file sharing) – FC SAN (for most purposes)  Challenges – Business growth demands for bigger platform sizing – Scalability barrier – Compute density – footprint – Application performance limitations – Architecture limitations – Interconnect technology 7
  • 8. SMP => Grid InfiniBand App Servers Database as Service Cluster  Migration large databases from SMP to GRID (IBM SystemX Blades)  90% reduction in server TCO  InfiniBand QDR for server interconnect  8G/4G FC SAN for Storage 8
  • 9. 2008 research study at IBM Montpellier: SystemX blades with Intel Xeon processors ib0 Sql*net ( IPoIB) + IO (SRP) IBM HS21 XM IO (SRP) Oracle RAC Cluster Apps Servers Oracle RAC interconnect + IO (SRP) ib1 IO (SRP) Inter Switch Link ISR9024M_DDR ISR9024M_DDR IB Storage Achieved # of nodes TPM Average ms Max IOPs IBM LSI DS5000 4 763,038 44 27,880 6 1,162,022 22 36,870 8 1,665,183 33 46,067 9
  • 10. Open Grid Application / Database Server - INFINBAND  28 blades in IB QDR cluster  FCoIB -> FC : Low Latency bridging  FC SAN : capacity IP to Fiber Channel - Gateway Fiber Channel Storage - FIBER CHANNEL 10
  • 11. 2010 study with IBM Sillicon Valley Labs : Integrate FC SAN with InfiniBand Cluster using DB2 PureScale 11
  • 12. 2010 study: DB2 pureScale benchmark results Scaling Results 60,000 50,000 – 10,000 TPS per member (>3x 2008 40,000 study) TPS 30,000 Average TPS – 99% linear scalability 20,000 – data dips : transaction 10,000 anomaly 0 1 MBR 2 MBR 3 MBR 4 MBR 5 MBR Members Experiments 1-5 members 12,000 10,000 8,000 – Standard table contained 2,500,000 rows 1 MBR 2 MBR – Transaction mix 80% read, 20% write TPS 6,000 3 MBR – 40+ connections to each member with zero 4 MBR 5 MBR think time 4,000 – Read transaction consists of 10 random 2,000 select statements – Write transaction consists of 3 random 0 update statements 1 35 69 103 137 171 205 239 273 307 341 375 409 443 477 511 Seconds 12
  • 13. Storage server equation Need too many servers for a single disk HDD: too many spinning for few servers! The Inversion Phenomenon 13
  • 14. SSD based Video Storage at a 4KM distance  16 diskless 8-12 core servers  4 KM InfiniBand WAN  2780 DVD quality videos streamed  Only 13Gbps bandwidth used  This is only 60% of pipe capacity  only 2 SSD – ioDrive Duo  Demo QSFP SSD transceiver 4km SSD optical InfiniBand Edge QSFP InfiniBand Edge InfiniBand Core Switch link transceiver Switch Switch
  • 15. Flash Memory Adoption Trends, forecasts Source IDC Source :Flash Memory Summit „11 Worldwide Enterprise SSD Share by Interface, 2010–2015 IDC View IDC: 2011 Note: +PCIe 2.5” will vie for SATA and SAS Source Gartner share Source IDC 15
  • 16. OPEN GRID: Scale out with Flash Performance Flash T0 SAN T1 Source : nutanix Capacity Server side scale out flash – Tier 0 Low cost capacity of existing SAN with HDD 16
  • 17. Scale on Flash - unify fabric  Scale out tier – 0 with PCIe flash  ISV : manage cache ?  PCIe : secondary buffer pool  Unified IO – IO Virtualization – reduce interconnect cost – transparent bridging HBA HBA HBA HBA HBA HBA HBA Unified IO : 17
  • 18. 18
  • 19. IBM SVL OSV : Experiment Results  Stream Computing:  OLTP Cluster – Processing transactions “In- – Rates measured using SAN and IBM HighIOPS for logs Motion” – DB2 pureScale avg tps – Fundamental Validations – using 2 x Data Members Account, Merchant, Limit, Ra and SAN: 47K TPS ting(AMT) – DB2 pureScale avg tps using 2 x Data Members – Able to handle “Burst” traffic and FLASH: 84K TPS and cache database – 2X Improvement using operations FLASH storage for database logs! – performance threshold – not reached yet : need to add more stream servers scalability effort continues : results to be published 19
  • 20. LD JCTD Operational Utility Assessment CREATE LOCALLY Large Data LD LD LD LD LD “While the first of about 10 files was still being transferred to the legacy work station, Large Data had all ten SHARE GLOBALLY files.” LD JCTD IOUA Report, Nov 09, JHU/APL Globally Synchronized, Shared Data and High Resolution Collaboration
  • 21. Operational Demonstration Results Operational Impact • GEOINT access & web services for warfighters • UNCLAS US Gov’t and NGO support • Remote access to large, distributed ISR files • Data virtualization & near real-time failover “Simply put, the system NRL has in place for delivering large, AOI detailed imagery is outstanding and truly a model for the DoD/IC.” – Sean Wohltman, Google Inc. Performance Results Summary as a Fraction of Theoretical Maximum Data Transfer Rate RDMA/IB TCP/IP/Ethernet NETWORK Single Multiple Single Multiple (Bandwidth Efficiency) Stream Streams Stream Streams Transition Metric 75% / 90% 80% / 90% 75% / 90% 80% / 90% Threshold/Objective Wide Area Network Suitability 94% ++ 98% ++ 86% + 17% (2,000 fiber miles) • Demonstrated TRL-7/8/9 Long-Haul WAN 89% + 83% + 42% 22% • Cost effective, open source (13,000 fiber miles) • Commodity components FILE SYSTEM Multiple Multiple Single File Single File • Stability/availability on par with (Read/Write) Files Files operational systems Transition Metric 60% / 80% 60% / 80% 60% / 80% 60% / 80% Threshold/Objective “A quick overview of the system was all that Long-Haul WAN 72% ++ 94% ++ 34% 6% was required for ease of use” (13,000 fiber miles) -- LD User Meets Threshold + / Meets Objective ++ Effectiveness: LD met or exceeded Transition Thresholds
  • 22. RDMA transport : Long Haul ? RDMA transport : Global Range ?
  • 23. developing the networks of the future the challenges ahead  respond to the massive increase in traffic: by 2015, we expect the standard level of mobile data traffic to have risen by 26 times  expand coverage and increase our speed to keep pace with the digital revolution  constantly improve the quality of our services  renew our infrastructures while respecting the environment
  • 24. 40G InfiniBand over 370 KM : ESNet ANI Tested  Orange Silicon Valley qualify world’s first long haul 40G InfiniBand solution  Collaboration with US Department of Energy  Field trial on DoE 370KM circuit 90%+ transport efficiency under concurrent streaming Maximum bandwidth Unidirectional 3.8 GB/s, Bidirectional 7.6 GB/s
  • 25. Open Grid: Cross boundaries : global scale  Dissemination of information throughout Grid Grid Grid the enterprise WAN  Synchronize distributed enterprise data centers Storage Storage Storage Server Server Server Data  Ultra Low Latency Data Data Center Center Center Fabric across long haul Storage Network Backbone : CONVERGENCE PHENOMENON 25
  • 26. Seattle Nov - 2011 OC 768 Streaming (?) SSD Video streams SEA CHI NYC MANLAN at AoA 6,000 miles ! SLC BNL continental US World’s first 40Gbps Long Haul InfiniBand !!
  • 27. Thank You 27

Notes de l'éditeur

  1. > key reason of doing this study is FT has a large footprint of FClowering the TCO of DCcombinint FC and Ethernet into IB and gaining b/w performance – IO virtualization reduce interconnect cost improve the network at the same time
  2. 16 – 20 servers on 90% CPU capacity
  3. -