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Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
Grid: New Business Opportunities?
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Grid: New Business Opportunities?

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Dominique Thomas's presentation from Cybera's 2007 Banff Cyberinfrastructure Summit

Dominique Thomas's presentation from Cybera's 2007 Banff Cyberinfrastructure Summit

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  • 1. GRID: new business opportunities? Dominique Thomas Software Development Manager Processing & Imaging Product Line – R&D Compagnie Generale de Geophysique Veritas (CGGVeritas) October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 1
  • 2. Evolution to the Grid €€€€ €€€ €€ € October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 2
  • 3. The Grid Dream G Mobile R Supercomputer, PC-Cluster Access I D M I Desktop D D Data Storage, Sensors, L Experiments E W A R Visualizing E Internet, Networks Analogy with the electrical supply network Geographically distant resources Secure environment “Coordinated resources sharing and problem solving in dynamic, multi-institutional virtual organization” – Ian Foster 2001 October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 3
  • 4. Outline HPC trends European Projects: BEinGRID, EGEE, GEANT2 CGGVeritas Challenges Cluster to Grid Computing EGEODE October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 4
  • 5. HPC market trends 2005: $2.1B 2005: $2.1B 2010: $2.5B 2010: $2.5B High-end High-end Volume Volume 2005: $7.1B 2005: $7.1B 2010: $11.7B 2010: $11.7B Sys. Size Sys. Size 2005 2005 2010 2010 % % $250k~$1M $1.9B $1.9B $3.4B $3.4B 11.8 $250k~$1M 11.8 $2.9B $2.9B $4.9B $4.9B 10.7 $50k~$250k $50k~$250k 10.7 $2.2B $2.2B $3.4B $3.4B $0~$50k $0~$50k 9.6 9.6 October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 5
  • 6. Exponential Growth Optical Fibre Gilder’s Law Performance per Dollar Spent Doubling Time (bits per second) bandwidth (months) (32X in 4 yrs) 9 12 18 Data Storage (bits per sq. inch) Storage Law (16X in 4yrs) Chip capacity (# transistors) Moore’s Law procesing power 0 1 2 3 4 5 (5X in 4yrs) Number of Years Triumph of Light – Scientific American. George Stix October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 6
  • 7. HPC Segments October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 7
  • 8. PC technologies analysis October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 8
  • 9. Lost in transition ? October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 9
  • 10. Grid Technology Adoption Life-cycle The Chasm Main Street Initial Market BEinGRID bowling Grid Science Computing The tornado Next Generation Grid Enterprise Applications Grid Enterprise Service Oriented The Bowling Infrastructure Utility for the Alley (on-demand) Niche Knowledge Marketing Economy Early Early Late Laggards Innovators Adopters Majority Majority (skeptics) (visionaries) (pragmatics) (conservatives) October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 10
  • 11. BEinGRID: Business Experiment in Grid BE1 - Computational Fluid Dynamics and Computer Aid Design BE2 - Movie Post-Production Workflow BE3 - Visualisation and Virtual Reality BE4 - Financial Portfolio Management BE5 - Retail Management BE6 - Groundwater Modeling BE7 - Earth Observation BE8 - Integration of Engineering and Business Processes in Metal Forming BE9 - Distributed Online Gaming BE10 - Collaborative Environment in the Supply Chain Management for Pharmaceutics BE11 - Risk Management in Finance BE12 - Sales Management System BE13 - Textile Grid Portal BE14 - New Product & Process Development BE15 - Data Recovery Service BE16 - Ship Building BE17 - Logistics & Distribution Optimisation BE18 - Seismic Processing and Reservoir Simulation October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 11
  • 12. BEinGRID Logistics MultiMedia Experiments by sectors SP SP Finance Experiments Oil & Gas Automotive by technology Chemistry Integrator End- User SP Service Provider Retailing Business Experiment Value Chain Aerospace SP SP Textile Engineering Ship Environmental Building Science Government - Public service October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 12
  • 13. BEinGRID Approach BE1 BE2 BE3 BE4 BE5 BE18 Trust & Security ... Architecture & Interop Technical cross activities Service & Data Mgt . . . VO Management Repository Market Study Business cross Business Modeling activities . . . Dissem. & Exploitation Mdw-1 Mdw -2 Mdw -n Selected branches: GTv4, UNICORE/GS, g-Lite, GRIA, WS-* October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 13
  • 14. Grid Technology Adoption Life-cycle The Chasm Main Street Initial Market BEinGRID bowling Grid Science Computing The tornado Next Generation Grid Enterprise Applications Grid Enterprise Service Oriented The Bowling Infrastructure Utility for the Alley (on-demand) Niche Knowledge Marketing Economy Early Early Late Laggards Innovators Adopters Majority Majority (skeptics) (visionaries) (pragmatics) (conservatives) October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 14
  • 15. Grids for Science Grids provide access to: Very large data collections Terascale computing resources High performance visualisation Connected by high-bandwidth networks Grids support global collaborations enabled by the internet October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 15
  • 16. The European e-Infrastructure EGEE: Enabling Grid for E-sciencE GEANT2 Network Collaboration Operations, Support and • To underpin European science and technology in the service of society • To link with and build on – National, regional and Pan-European Grid international initiatives • To foster international cooperation training – both in the creation and the use of the e-infrastructure • One of the largest worldwide Network infrastructure grid infrastructure to date linking resource centres October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 16
  • 17. EGEE worldwide cooperation In ~80 countries in 2008 October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 17
  • 18. GEANT2 Network(World wide) October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 18
  • 19. 1 TByte between 2 points Line type Bandwidth Duration theoretical Internet 2Mb/s 45 days 100Mb/s 22 hours 1Gb/s 2.2 hours Experimental Best in France 10Gb/s 13 minutes Carriocas 40Gb/s 3.3 minutes Line type Bandwidth Actual Duration actual EGEE- 2Mb/s 1.8Mb/s 49 days CGGVeritas Marseille-Lyon 2.5Gb/s shared 88Mb/s 1 day CGGVeritas 100Mb/s 41Mb/s ! 2 days CERN-Caltech One stream (2006) 2,38Gb/s 1 hour (10000km) Multiple streams 5,44 Gb/s 30mn (2003) October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 19
  • 20. EGEE: Enabling Grid for E-sciencE 240 sites/ 45 countries ~40000 CPUs / 5 PBytes 200 VOs Sep 07 October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 20
  • 21. EGEE in motion 24/7 available, secure access Generic grid, multiples local scheduler supported Data storage and replication mechanism 1000 persons/60 middleware developers Open source Up to 100,000 jobs a day, More than 1 million jobs per month Global scheduling October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 21
  • 22. Grid Applications High Energy Physics (analysising the results from particle collisions ) Medical/Healthcare (imaging, diagnosis and treatment ) Bioinformatics (study of the human genome and proteome to understand genetic diseases) Nanotechnology (design of new materials from the molecular scale) Engineering (design optimization, simulation, failure analysis and remote Instrument access and control) Natural Resources and the Environment (weather forecasting, earth observation, modeling and prediction of complex systems) October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 22
  • 23. High-end example: The LHC Experiments ATLAS CMS ~6-8 PetaBytes / year ~108 events/year ~103 batch and interactive users LHCb October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 23
  • 24. Just a comparison… 6-8 Petabytes 5 times the ˜10.000.000 CD-ROM Eiffel Tower ˜1500 m Produced each year October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 24
  • 25. Grid Applications: Earth Observation ENVISAT • 3500 Meuro programme cost • Launched on February 28, 2002 • 10 instruments on board • 200 Mbps data rate to ground • 400 Tbytes data archived/year • 10+ dedicated facilities in Europe • ~700 approved science user projects October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 25
  • 26. Earth Science Requirements First guess Optimal Global, regional, local multi- re Trajectory Coupled interdisciplinary mo sp he disciplinary applications processes Large historical distributed At Complex Noisy archives Cryosphere data observations analysis Near real-time access to Biosphere data n ea Integrate different data Oc sources Science, institutional and industrial communities Models to provide long term Sub-surface trends and forecast complex modelling Complex web of sensor System-level science October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 26
  • 27. And Seismic Processing? October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 27
  • 28. CGGVeritas is the world’s leading international pure-play geophysical company delivering a wide range of technologies, services and equipment to its broad base of customers mainly throughout the global oil and gas industry Focused on Performance . Passion for Innovation . Powered by People . Delivered with Integrity October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 28
  • 29. CGGVeritas in the Oil & Gas Industry Reservoir services Spec data Processing (software, site design & services) Acquisition (equipment & services) October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 29
  • 30. Data Processing & Imaging Stavanger Oslo Oslo Calgary Aberdeen London Moscow Crawley Assen Paris Vienna Milan Pau Houston Tripoli Abu Dhabi Cairo Villahermosa MuscatMumbaï Caracas Lagos Kuala Lumpur Maracaibo / PLCruz Port Harcourt Singapore Jakarta Luanda Rio Perth Buenos Aires 28 Open Centres 15 Single-Client Dedicated Centres October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 30
  • 31. Worldwide R&D London Tyumen Calgary Brno Paris Houston Mumbai Mexico Singapore October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 31
  • 32. Challenges (1): Computing power CGGVeritas Gflops evolution vs Moore law 1000000 100000 Gflops (logarithmic scale) 10000 Gflops@CGGVeritas Moore (vector) 1000 Moore (numa) Moore (cluster) Gflops trend 100 10 1 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 32
  • 33. Storage and Computing 1 Pflops in 2009? 400+ TFlops in 2007 8 PBytes of disc October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 33
  • 34. Challenges (2): Technology based strategy Technical excellence Research – Innovation – Industrialization Looking for Talents with strong scientific background Collaboration with Research Labs October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 34
  • 35. Cluster to Grid Computing More Computing&Storage resources to solve complex problems such as full wave equation in complex earth models To optimize IT infrastructure Load balancing between Processing Centres Smoothing peaks of production (up to 100 TFlops) Service continuity Better fault tolerant system and applications To share and acquire knowledge Best practices and programming models Attract and keep talents (researchers) October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 35
  • 36. Business value Short term Ability to reach new customers: SMEs and middle size National Oil&Gas Companies Innovative and simple route for R-I collaboration Longer term Leading Edge technology => competitive advantage Lehman Brothers & Smith Barney Capital Expenditures G$ Exploration & Dev. Association for the Study of Peak Oil & Gas 250 215 G$ 191 G$ 200 166 G$ 2015-2025 150 100 50 0 2003 2004 2005 (e) October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 36
  • 37. Innovation Pre-competitive research: experiment Develop and share technical expertise Assess maturity of technology for operational / business projects Feedback from Industry to Research eInfrastructure: the foundation Real scale, production-quality Grid Network Computing resources Middleware IT administration Experiment with the future October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 37
  • 38. Innovation and Business? EGEODE initiative Collaboration Research - Industry EGEODE V.O. (Expanding Geosciences On Demand) Share Hardware and state of the art Software (Geocluster®) WITHOUT software and IT administration overhead eInfrastructure for Research: EGEE (gLite) Performances, IT adm, Training Open to any Public-Private Lab eInfrastructure for Business: CGGVeritas (gLite)+partners Security, confidentiality, reliability More effective worldwide collaboration R-R-I October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 38
  • 39. EGEODE Portal EGEODE VO Portal SDS grid ETools GCT BEinGRID Production GRID DEV Collaborative Middleware GGS EGEE Operating System Hardware Network Slide 39
  • 40. EGEODE With EGEODE: Any Geophysicist can process Any data from Anywhere at Anytime AAA enabled (Authentication, Authorization and Accounting) 7/24/365 (dynamic upgrade) VO centric (Virtual Organisation) Remote center Client location Referenced in the Grid File System Home Copy (GridFTP), Replication,… October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 40
  • 41. EGEODE : Example of seismic processing workflow •Velocity •Time •Depth •Pre-processing •Reservoir •Analysis •Imaging •Imaging •(1D, 2D) •Geophysics •(1D,2D,3D) •(3D) •(3D) •Rock properties •Run on EGEODE •3D seismic •Velocity model •Structural model October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 41
  • 42. Production Remote processing from small dedicated centers Collaborative session with the client Remote Internship with University Intranet remote processing with Pau, Moscow, Oslo October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 42
  • 43. New Business Opportunities Business Model 1. Sell Computing-On-Demand (COD) services – Value chain CGGVeritas Grid Grid Grid Component Resource Operator User Provider Provider 2. Provide EGEODE services to SMEs using a WEB portal – Value chain BE18 Association (CGGVeritas, TNO, NICE, Petrosoft) Grid Grid Solution Grid Access Component Resource (Service) User Provider Provider Operator Provider Provider October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 43
  • 44. Business Aspects Business Plan 1. Computing-On-Demand services Sell unused compute resources through a COD service – Market: O&G companies ~9500 O&G Companies – Success factors: Low and simple pricing strategy IT resources optimization and High availability Increased business flexibility More reactive to the market shifts and greater market penetration Rapid decision-making NO demand from large organizations to offload to someone else’s No need for interoperation between them Demand is coming from SMEs October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 44
  • 45. Business Aspects Business Plan 2. Expanding-Geosciences-On-Demand (EGEODE) services – Market: small O&G structures 1035 O&G companies in EU CGGVeritas market 93% are SMEs; 63% < 10 employees High Tech., Large studies Research labs Very small projects of large companies EGEODE market – Success factors: Conventional, smalll Simplified administration and IT resources optimization Capacity to meet market shifts and increase business flexibility Cost-effective and fast data processing October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 45
  • 46. Summary Grid Cooperation with EGEE and BEinGRID: learn and experiment Innovation creates Business Value Collaboration Public-Private Research is a must EGEODE : an enabler … EGEE : http://www.eu-egee.org EGEODE : http://www.egeode.org CGGVeritas : http://www.cggveritas.com October 12, 2007 - D Thomas CyberInfrastructure Summit, Banff, ab Slide 46

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