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To_Infinity_and_Beyond_2012_Big_Data_Internet_Scale_Update_November_2012_v2_John_Sing
To_Infinity_and_Beyond_2012_Big_Data_Internet_Scale_Update_November_2012_v2_John_Sing
To_Infinity_and_Beyond_2012_Big_Data_Internet_Scale_Update_November_2012_v2_John_Sing
To_Infinity_and_Beyond_2012_Big_Data_Internet_Scale_Update_November_2012_v2_John_Sing
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To_Infinity_and_Beyond_2012_Big_Data_Internet_Scale_Update_November_2012_v2_John_Sing
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To_Infinity_and_Beyond_2012_Big_Data_Internet_Scale_Update_November_2012_v2_John_Sing

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Presented at the IBM Australia / New Zealand Storage / x / SmartCloud Symposium on Tuesday Nov 13, 2012 in Auckland, New Zealand. Entertaining, fast-paced business and IT-oriented update tutorial on …

Presented at the IBM Australia / New Zealand Storage / x / SmartCloud Symposium on Tuesday Nov 13, 2012 in Auckland, New Zealand. Entertaining, fast-paced business and IT-oriented update tutorial on 2012 Internet Scale, Big Data - what it is, where it's going. You'll come away with answers to these questions: "What will happen with Big Data and Internet Scale in 2012 and beyond?" "What do I need to know about mobile technology, consumerization of IT, high performance analytics, and data center design?"
"What are innovative IT customers deploying today to provide competitive advantage?" "What does this mean for my IT infrastructure and my IT staff job skills?" Immediately useful, you'll come away with an up to date November 2012 Big Picture about modern IT technologies, workloads, innovation, and the job skills that will be demanded in 2013 and beyond. I provide this for all of our general benefit in the IT industry - we all need to and must be able to work together to successfully address the economic and sustainability challenges that all of our futures share. My only request is simply that you give me full credit as the authors of this research material.. The opinions expressed are those of myself - industry players and organizations mentioned are to illustrate the concepts described in this research. No express endorsement is intended or implied.

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  • Source: IDC's 2011 Enterprise Disk Storage Consumption Model
  • Chart in public domain: IEEE Massive File Storage presentation, author: Bill Kramer, NCSA: http://storageconference.org/2010/Presentations/MSST/1.Kramer.pdf
  • http://www.hawkeyeuav.com/ http://www.gatewing.com/ http://www.sensefly.com/ http://www.aeryon.com/products.html http://www.leptron.com/corporate/products/
  • http://www.geodigital.com/ http://www.profsurv.com/magazine/article.aspx?i=70599Mobile Mapping article http://www.gim-international.com/issues/articles/id1306-Mapping_with_Mobile_Lidar.html http://www.sparpointgroup.com/News/Vol09No37-New-feature-extraction-tool-for-lidar/ http://www.lidarnews.com/PDF/LiDARMagazine_Richardson-PreservingThePast_Vol2No5.pdf http://www.lidarnews.com/content/view/9228/198/ Coordinates and Building Info Mgmt article http://www.southernmapping.com/methodology.php http://www.lidarnews.com/PDF/LiDARMagazine_Amadori-UtilityVegetationManagement_Vol2No5.pdf
  • Chart in public domain: IEEE Massive File Storage presentation, author: Bill Kramer, NCSA: http://storageconference.org/2010/Presentations/MSST/1.Kramer.pdf:
  • Online URL for this video is: http://www.youtube.com/watch?v=_ZyU6po_E74 Blue CRUSH in Memphis, TN & Richmond, VA Blue CRUSH predictive analysis for officer deployment & risk management generated easy-to-read crime maps every four hours Richmond, VA: Violent crime decreased in the first year by 32%, another 40% thereafter, moving Richmond from #5 on the list of the most dangerous US cities to #99 Another great example of using predictive technology is in the City of Richmond. Richmond, Virginia had a significant problem with violent crime. In fact, in one year, they were listed as the 9 th most dangerous large city in the US. And this was not a one time problem. The following year, Richmond increased it’s rank to #5! The city had no interest in becoming the #1 most dangerous city and wanted to do something different… and do it quickly! IBM helped the City of Richmond to analyze its crime data and provide enhanced predictions on the times and locations with the highest probability of crimes. The City was able to align its resources to the areas that were most likely to experience crimes As a result, violent crime decreased in the first year by 32%. And this also wasn’t a 1-time decrease. The following year, violent crime fell another 40% moving Richmond from #5 on the list of the most dangerous US cities to #99. Most cities can’t afford to keep adding new resources. Our goal is to use our resources more effectively in fighting crime and keeping our cities safe. On our smarter planet, technology can help us do that.
  • There is a new class of data rich companies emerging where the company’s value is based on the amount of information it can store and exploit. We call these “hyperscale data companies.” Examples of the hyperscale data companies today are Google, Amazon, and Facebook. In order for these companies to grow revenue and profit, their business models require that be able to store vast amounts of data. As a result, storage becomes a core competence for these companies. We see that over time, companies in various industries will need to collect, store, and exploit very large amounts of data and will move towards becoming hyperscale data companies. Two examples: A large healthcare company currently has 3.5 petabytes of data and is installing new imaging scanners that generate 1 terabyte per session and over 2 ½ petabytes per year. In order to provide high quality healthcare to their patients and offer more services, they will need to store this data for years to come and have that data readily accessible. A large insurance company currently has 20 petabytes of data and grows by over 300 terabytes a month – every month. In addition to using this data to process claims, they want to be able to exploit this data to provide services to other claims processors and to provide services across the healthcare ecosystem.
  • http://www.mckinsey.com/mgi/publications/big_data/index.asp
  • http://www.mckinsey.com/Insights/MGI/Research/Technology_and_Innovation/Big_data_The_next_frontier_for_innovation Free download: Big data: The next frontier for innovation, competition, and productivity https://www.mckinseyquarterly.com/Are_you_ready_for_the_era_of_big_data_2864
  • http://gigaom.com/broadband/worldwide-broadband-demand-speeds-are-zooming/
  • http:// www.akamai.com/stateoftheinternet / http://www.de-c http://en.wikipedia.org/wiki/List_of_Internet_exchange_points_by_size http://www.de-cix.net/about/statistics / IXP statistics traffic – de-cix.net in Frankfurt, the current largest Internet Exchange Point in the world. Nearly 2Tb/sec (200 GB/sec)
  • Source: Independent Analyst Shipment Data, Cisco Analysis, at: http://www.datacenterknowledge.com/archives/2012/10/23/cisco-releases-2nd-annual-global-cloud-index/ http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns1175/Cloud_Index_White_Paper.html
  • http://wikibon.org/blog/how-big-is-the-world-of-cloud-computing-infographic/
  • Bandwidth: http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/VNI_Hyperconnectivity_WP.html http:// www.akamai.com/stateoftheinternet / Cisco global IP traffic study and forecast: http://www.akamai.com/stateoftheinternet
  • With their corresponding storage, networking, power distribution and cooling, software, and software developers to create all this this
  • http://wikibon.org/blog/wp-content/uploads/2011/10/5-top-data-centers.html
  • http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-supernap-microsoft-dft/#supernap http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-supernap-microsoft-dft/#quincy
  • http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#phoenixone http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#chicago http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-ngd-terremark-qts/#qts http://news.cnet.com/2300-10805_3-10001679.html = Inside Microsoft Container Data Center
  • #1 data center consumes 100 megawatts of power, 2nd-largest power customer for Commonwealth Edison, trailing only Chicago’s O’Hare Airport. http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-ngd-terremark-qts/#ngd http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-ngd-terremark-qts/#napota http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/worlds-largest-data-center-350-e-cermak/ 10. The SuperNAP, Las Vegas (Switch Communications) 9A and 9B. Microsoft Data Centers in Quincy Washington and San Antonio 8. CH1, Elk Grove Village, Ill. (DuPont Fabros) 7. Phoenix ONE, Phoenix (i/o Data Centers) 6. Microsoft Dublin (Microsoft) 5. Container Data Center, Chicago (Microsoft) 4. NGD Europe, Newport Wales (Next Generation Data) 3. The NAP of the Americas, Miami (Terremark) 2. Metro Technology Center, Atlanta (Quality Technology) 1. 350 East Cermak / Lakeside Technology Center (Digital Realty)
  • http://www-03.ibm.com/press/us/en/pressrelease/36693.wss http://www.datacenterknowledge.com/archives/2012/02/08/tulip-ibm-team-on-huge-data-center-in-india/ http:// www.youtube.com/watch?v =-h5RYflgBcM Amadeus: 1+ billion transactions / day .3 second response time Access to 95% of the worlds airline seats 5000+ servers Powers over 260 websites in 110 countries for over 100 airlines 10 PB of storage Tulip Telecom: Currently largest in AP and 3d largest in world (for now) Nearly 1 M sq feet Co-built with IBM http://www.amadeus.com/blog/16/03/did-you-know-amazing-facts-about-amadeus/ http://www.govtech.com/featured/China-to-Build-Worlds-Largest-Data-Center.html http://www.wired.com/threatlevel/2012/03/ff_nsadatacenter/all/1
  • http://www.fastcompany.com/magazine/160/tech-wars-2012-amazon-apple-google-facebook
  • http://gigaom.com/cloud/apple-launches-icloud-heres-what-powers-it/ http:// www.youtube.com/watch?v =IPNZAvX1yEs http://www.theregister.co.uk/2012/02/21/apple_new_data_center/ http://www.datacenterknowledge.com/archives/2011/05/18/apple-adding-data-center-in-silicon-valley/ http://www.datacenterknowledge.com/the-apple-data-center-faq / Apple purposes for these data centers: iCloud Support Apple’s WW install base of devices Futures: Move Content Delivery Network in-house? Futures: Streaming video? Other Apple data centers: Cork, Ireland Munich, Germany Newark, California Cupertion, Calif
  • http://www.datacenterknowledge.com/archives/2012/04/20/facebooks-north-carolina-data-center-goes-live/ http://www.wired.com/wiredenterprise/2011/12/facebook-data-center/all/1 https:// www.facebook.com/note.php?note_id =469716398919 http://www.datacenterknowledge.com/archives/2011/10/27/facebook-goes-global-with-data-center-in-sweden/ http://wikibon.org/blog/inside-ten-of-the-worlds-largest-data-centers/ http://www.datacenterknowledge.com/archives/2012/02/02/facebooks-1-billion-data-center-network/
  • http://aws.typepad.com/aws/2012/04/amazon-s3-905-billion-objects-and-650000-requestssecond.html http://gigaom.com/cloud/how-big-is-amazon-web-services-bigger-than-a-billion/ http://www.datacenterknowledge.com/archives/2011/06/09/a-look-inside-amazons-data-centers/ http://gigaom.com/cloud/just-how-big-is-the-amazon-cloud-anyway / http://www.economist.com/node/21548487 The focus of Jeff Bezos, CEO / founder of Amazon http:// mvdirona.com/jrh/work / James Hamilton, AWS Vice President and Distinguished Engineer on the Amazon Web Services team where he is focused on infrastructure efficiency, reliability, and scaling.  All his presentations are listed here at this URL.
  • http://www.google.com/about/datacenters/locations/ http://www.google.com/about/datacenters/locations/the-dalles http://www.datacenterknowledge.com/archives/2012/04/13/google-data-center-spending-recedes-to-607m/
  • http://royal.pingdom.com/2008/04/11/map-of-all-google-data-center-locations/ http://www.datacenterknowledge.com/archives/2012/04/13/google-data-center-spending-recedes-to-607m/ A capital expenditure is an investment in a long-term asset, typically physical assets such as buildings or machinery. Google says the majority of its capital investments are for IT infrastructure, including data enters, servers, and networking equipment. In the past the company’s CapEx spending has closely tracked its data center construction projects, each of which requires between $200 million and $600 million in investment.
  • As of Sept 11, 2012, IBM market capitalization is $232B
  • http://liesdamnedliesstatistics.com/2012/05/stats-that-show-why-you-need-a-mobile-first-approach-now.html http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing-infographic By 2014: mobile will be main way of connecting to Internet.   Younger consumers are already doing so, various activities ranging from social media to online shopping are increasing on smartphones. Smartphones are becoming the primary camera for more and more people coinciding with Instagram reaching 50 million users while smartphone users are not only always connected but engage in content snacking as this US report says  In other words, what we consume may not be different but how we consume it, how long for, how they share it and how they view it will be.
  • http:// en.wikipedia.org/wiki/Disruptive_innovation
  • http:// en.wikipedia.org/wiki/Disruptive_innovation
  • http:// en.wikipedia.org/wiki/Disruptive_innovation
  • http:// en.wikipedia.org/wiki/Disruptive_innovation
  • http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing-infographic By 2014: mobile will be main way of connecting to Internet.   Younger consumers are already doing so, various activities ranging from social media to online shopping are increasing on smartphones. Smartphones are becoming the primary camera for more and more people coinciding with Instagram reaching 50 million users while smartphone users are not only always connected but engage in content snacking as this US report says  In other words, what we consume may not be different but how we consume it, how long for, how they share it and how they view it will be.
  • http://mashable.com/2007/07/11/google-maps-mashups-2/ A mashup is a lightweight web application that combines data from more than one source into an integrated and new, useful experience. TaxiWiz Figure out how much a cab ride is likely to cost beforehand by plotting your route in six different cities including New York and San Francisco. From LAX airport to 930 Wilshire Blvd where this conference is taking place; Estimated cost: That cab ride would cost about $42.00. That's roughly $48 with a 15% tip. It is about 17.9 miles. There is a $42.00 flat fare for trips from LAX Airport to Los Angeles. HousingMaps This site is a mashup of Craigslist with Google Maps, providing a listing of housing for rent and for sale in most major cities. The site also includes filters so you can drill down to listings in a specific price range.
  • http://techcrunch.com/2012/02/14/the-number-of-mobile-devices-will-exceed-worlds-population-by-2012-other-shocking-figures/ http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white_paper_c11-520862.html
  • Online URL for this video is: http://www.youtube.com/watch?v=EdSd32nbtoA
  • http:// en.wikipedia.org/wiki/Disruptive_innovation
  • http://hbswk.hbs.edu/item/7007.html
  • http://www.tatango.com/blog/time-spent-on-mobile-devices-outpaces-newspapers-and-magazines/ Sept 2011
  • Illustrative Cloud examples only No endorsement is implied or expressed
  • Summary: When you break it down even further, IBM has constructed a portfolio of software and solutions with the breadth and depth to meet all of the needs of all organizations today, combined with unique synergies across this portfolio that enable organizations to start with their most pressing needs knowing that they will be able to leverage their skills and investment in future projects to reduce risk, lower costs and achieve faster time to value in meeting the needs of the business. There are multiple “entry-points”, driven by your most pressing needs, that help you start moving down the path for an information-led transformation. (Note: describe this slide from the bottom-up ) When you think about an information-led transformation, you need to ensure that your infrastructure and systems are optimized to handle the various workloads that are demanded of it. Especially today when you are faced with a glut of new information, you need to ensure that relevant information is available, that it is secure and that you are able to retrieve it in a timely manner not only for analytical, operational and transactional systems, but also for regulatory compliance. That is why IBM Software Group and our Systems & Technology Group are working together to provide optimized solutions focused on delivering greater business value to our customers, faster, for increased return on investment. From the new IBM Smart Analytics System, to the new DB2 PureScale for continuous availability, unlimited capacity and application transparency, to the deep integration of System z, IBM has unparalleled expertise in designing and implementing workload optimized systems and services. On top of that infrastructure, there is also the need to ensure that you can bring all of those sources of information together to create a single, trusted view of information from across your business – regardless of whether that information is structured or unstructured – and then manage it over time. From data warehousing, Master Data Management, information integration, and Agile ECM and integrated data management, IBM’s InfoSphere portfolio ensures that organizations will be able to leverage their information over time to drive innovation across their business. And armed with this single-view of your business, you can then look to optimize business processes and drive greater performance across your organization. Decision makers will have the right information, at the right time, in the right context to make better, more informed decisions, and even anticipate new opportunities or counter potential threats more effectively. The Business Analytics and Optimization Platform supports and information-led transformation in that it focuses on establishing well-constructed processes and empowering individuals throughout the organization with pervasive, predictive real-time analytics . From Cognos and the newly acquired SPSS portfolios, organizations can now be more pro-active and predictive in innovating their business.
  • Summary: When you break it down even further, IBM has constructed a portfolio of software and solutions with the breadth and depth to meet all of the needs of all organizations today, combined with unique synergies across this portfolio that enable organizations to start with their most pressing needs knowing that they will be able to leverage their skills and investment in future projects to reduce risk, lower costs and achieve faster time to value in meeting the needs of the business. There are multiple “entry-points”, driven by your most pressing needs, that help you start moving down the path for an information-led transformation. (Note: describe this slide from the bottom-up ) When you think about an information-led transformation, you need to ensure that your infrastructure and systems are optimized to handle the various workloads that are demanded of it. Especially today when you are faced with a glut of new information, you need to ensure that relevant information is available, that it is secure and that you are able to retrieve it in a timely manner not only for analytical, operational and transactional systems, but also for regulatory compliance. That is why IBM Software Group and our Systems & Technology Group are working together to provide optimized solutions focused on delivering greater business value to our customers, faster, for increased return on investment. From the new IBM Smart Analytics System, to the new DB2 PureScale for continuous availability, unlimited capacity and application transparency, to the deep integration of System z, IBM has unparalleled expertise in designing and implementing workload optimized systems and services. On top of that infrastructure, there is also the need to ensure that you can bring all of those sources of information together to create a single, trusted view of information from across your business – regardless of whether that information is structured or unstructured – and then manage it over time. From data warehousing, Master Data Management, information integration, and Agile ECM and integrated data management, IBM’s InfoSphere portfolio ensures that organizations will be able to leverage their information over time to drive innovation across their business. And armed with this single-view of your business, you can then look to optimize business processes and drive greater performance across your organization. Decision makers will have the right information, at the right time, in the right context to make better, more informed decisions, and even anticipate new opportunities or counter potential threats more effectively. The Business Analytics and Optimization Platform supports and information-led transformation in that it focuses on establishing well-constructed processes and empowering individuals throughout the organization with pervasive, predictive real-time analytics . From Cognos and the newly acquired SPSS portfolios, organizations can now be more pro-active and predictive in innovating their business.
  • My presentation on Internet Scale architectures: http://www.slideshare.net/johnsing1/s-bd03-infinitybeyond2internetscaleworkloadsdatacenterdesignv6speaker
  • Understand your company’s and your industry’s Big Data / Modern Analytics initiatives, components, and vision within your environment: To be viewed as a powerful partner and enabler of these workloads Architect how you wish to your platform, people, and infrastructure to grow along these lines Take the daily challenge to be on top of them My presentation on Internet Scale architectures: http://www.slideshare.net/johnsing1/s-bd03-infinitybeyond2internetscaleworkloadsdatacenterdesignv6speaker
  • Think larger than technology Watch the business models, learn and apply Use tools like Lotus Communities, Dropbox, Delicious…. Step by step, intentionally form your own digital worldwide footprint and network of leveraged friends sharing research – Be the change you want your world, company, and career to be The sharing process is what develops your daily sources of research and collaboration I suggest iPhone or Android smart phone ecosystems (because the others don’t really have an equivalent cosystem)
  • Identify your Big Data / new gen workloads / competitors for that workload Many non-traditional competitors for workload Laying out plans to meld / meet / build readiness for: Awareness, platform readiness, accept/intermix connectors, skills, tactics, architectures Resources to help you on this journey
  • Link to enter your email address and then get free copy of this book downloaded: https://www14.software.ibm.com/webapp/iwm/web/signup.do?source=sw-infomgt&S_PKG=500016891&S_CPM=is_bdebook1_biginsightsfp Direct URL to load book (3.5 MB Acrobat Reader file): http://public.dhe.ibm.com/common/ssi/ecm/en/iml14297usen/IML14297USEN.PDF
  • Image courtesy DLB Associates: D. Dyer, “Current trends/challenges in datacenter thermal management—a facilities perspective,” presentation at ITHERM, San Diego, CA, June 1, 2006. “ The Data Center as a Computer: Introduction to Warehouse Scale Computing”, figure 4-1, p.40 Barroso, Holzle http://www.morganclaypool.com/doi/pdf/10.2200/S00193ED1V01Y200905CAC006
  • Image courtesy of ASHRAE http://www.ashrae.org American Society of Heating, Refrigerating and Air-Conditioning Engineers  “ The Data Center as a Computer: Introduction to Warehouse Scale Computing”, figure 5-2, p.49 Barroso, Holzle http://www.morganclaypool.com/doi/pdf/10.2200/S00193ED1V01Y200905CAC006
  • http://www.datacenterknowledge.com/archives/2012/04/20/facebooks-north-carolina-data-center-goes-live/ http://www.wired.com/wiredenterprise/2011/12/facebook-data-center/all/1 https:// www.facebook.com/note.php?note_id =469716398919 http://www.datacenterknowledge.com/archives/2011/10/27/facebook-goes-global-with-data-center-in-sweden/ http://wikibon.org/blog/inside-ten-of-the-worlds-largest-data-centers/ http://www.datacenterknowledge.com/archives/2012/02/02/facebooks-1-billion-data-center-network/
  • http://venturebeat.com/2012/03/26/google-data-centers-use-less-energy/ http://www.google.com/about/datacenters/inside/efficiency/power-usage.html http://www.datacenterknowledge.com/archives/2011/05/10/uptime-institute-the-average-pue-is-1-8/
  • http://www.youtube.com/watch?v=zRwPSFpLX8I
  • http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#phoenixone http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#chicago http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-ngd-terremark-qts/#qts http://news.cnet.com/2300-10805_3-10001679.html = Inside Microsoft Container Data Center
  • http://www.datacenterknowledge.com/archives/2012/05/17/cyrusone-going-massively-modular-in-phoenix/ http://www.datacenterknowledge.com/archives/2012/02/06/the-state-of-the-modular-data-center/ http://www.datacenterknowledge.com/archives/2012/01/30/inside-ios-modular-data-center-assembly-line/ IO  has 35 customers using its IO Anywhere modules, who have deployed about 50 modules in the company’s immense data centers in Phoenix and New Jersey. IO customers using modules include Photobucket, Allianz, Avnet, Logicalis and Suntron. Cloud computing provider  Red Cloud , will install 4.5 megawatts of modular capacity at three sites across Australia, demonstrating the remote deployment capability. HP  recently cited momentum for its modular offering, the Portable Optimized Datacenter (POD). Customers who have recently used PODs to expand their IT operations include UCLA, Skoda Power, the Australian government and the city of El Paso, Texas. Modules from  Dell’s Data Center Solutions Group  (DCS) are powering  Bing Maps , the  Janus Supercomputer  at the University of Colorado and a  Tier 5 facility  in Australia, and will populate Dell’s own cloud data center in  Quincy, Washington . Colt  has supplied its factory-built modules to  Verne Global  in Iceland, where they will house servers for managed hosting provider Datapipe, as well as a substantial deployment for systems integrator  Phoenix IT  in London. Modules from  AST Global  have populated a 21-unit  data center park  for a financial customer in Denmark, as well as servers for Opera within the  Thor Data Center  in Iceland. eBay  has used a new modular design for a new data center in  Phoenix , and will also use modules to power the second phase of its major data center near  Salt Lake City . Cloud computing pioneer  Amazon Web Services  is using a modular design known as Perdix to deploy data center capacity at several sites in  central Oregon . Microsoft  has been among the most aggressive in adopting the modular form factor, using it as the building block for major data centers in  Chicago , Washington state ,  Virginia  and  Iowa . Google  was perhaps the first company to use container in a large-scale deployment, using them in a data center  it built in 2005 .
  • Summary: When you break it down even further, IBM has constructed a portfolio of software and solutions with the breadth and depth to meet all of the needs of all organizations today, combined with unique synergies across this portfolio that enable organizations to start with their most pressing needs knowing that they will be able to leverage their skills and investment in future projects to reduce risk, lower costs and achieve faster time to value in meeting the needs of the business. There are multiple “entry-points”, driven by your most pressing needs, that help you start moving down the path for an information-led transformation. (Note: describe this slide from the bottom-up ) When you think about an information-led transformation, you need to ensure that your infrastructure and systems are optimized to handle the various workloads that are demanded of it. Especially today when you are faced with a glut of new information, you need to ensure that relevant information is available, that it is secure and that you are able to retrieve it in a timely manner not only for analytical, operational and transactional systems, but also for regulatory compliance. That is why IBM Software Group and our Systems & Technology Group are working together to provide optimized solutions focused on delivering greater business value to our customers, faster, for increased return on investment. From the new IBM Smart Analytics System, to the new DB2 PureScale for continuous availability, unlimited capacity and application transparency, to the deep integration of System z, IBM has unparalleled expertise in designing and implementing workload optimized systems and services. On top of that infrastructure, there is also the need to ensure that you can bring all of those sources of information together to create a single, trusted view of information from across your business – regardless of whether that information is structured or unstructured – and then manage it over time. From data warehousing, Master Data Management, information integration, and Agile ECM and integrated data management, IBM’s InfoSphere portfolio ensures that organizations will be able to leverage their information over time to drive innovation across their business. And armed with this single-view of your business, you can then look to optimize business processes and drive greater performance across your organization. Decision makers will have the right information, at the right time, in the right context to make better, more informed decisions, and even anticipate new opportunities or counter potential threats more effectively. The Business Analytics and Optimization Platform supports and information-led transformation in that it focuses on establishing well-constructed processes and empowering individuals throughout the organization with pervasive, predictive real-time analytics . From Cognos and the newly acquired SPSS portfolios, organizations can now be more pro-active and predictive in innovating their business.
  • Top layer = consumer , middle = creator of the new programs and the value/insights inside the big data Summary: When you break it down even further, IBM has constructed a portfolio of software and solutions with the breadth and depth to meet all of the needs of all organizations today, combined with unique synergies across this portfolio that enable organizations to start with their most pressing needs knowing that they will be able to leverage their skills and investment in future projects to reduce risk, lower costs and achieve faster time to value in meeting the needs of the business. There are multiple “entry-points”, driven by your most pressing needs, that help you start moving down the path for an information-led transformation. (Note: describe this slide from the bottom-up ) When you think about an information-led transformation, you need to ensure that your infrastructure and systems are optimized to handle the various workloads that are demanded of it. Especially today when you are faced with a glut of new information, you need to ensure that relevant information is available, that it is secure and that you are able to retrieve it in a timely manner not only for analytical, operational and transactional systems, but also for regulatory compliance. That is why IBM Software Group and our Systems & Technology Group are working together to provide optimized solutions focused on delivering greater business value to our customers, faster, for increased return on investment. From the new IBM Smart Analytics System, to the new DB2 PureScale for continuous availability, unlimited capacity and application transparency, to the deep integration of System z, IBM has unparalleled expertise in designing and implementing workload optimized systems and services. On top of that infrastructure, there is also the need to ensure that you can bring all of those sources of information together to create a single, trusted view of information from across your business – regardless of whether that information is structured or unstructured – and then manage it over time. From data warehousing, Master Data Management, information integration, and Agile ECM and integrated data management, IBM’s InfoSphere portfolio ensures that organizations will be able to leverage their information over time to drive innovation across their business. And armed with this single-view of your business, you can then look to optimize business processes and drive greater performance across your organization. Decision makers will have the right information, at the right time, in the right context to make better, more informed decisions, and even anticipate new opportunities or counter potential threats more effectively. The Business Analytics and Optimization Platform supports and information-led transformation in that it focuses on establishing well-constructed processes and empowering individuals throughout the organization with pervasive, predictive real-time analytics . From Cognos and the newly acquired SPSS portfolios, organizations can now be more pro-active and predictive in innovating their business.
  • Top layer = consumer , middle = creator of the new programs and the value/insights inside the big data Summary: When you break it down even further, IBM has constructed a portfolio of software and solutions with the breadth and depth to meet all of the needs of all organizations today, combined with unique synergies across this portfolio that enable organizations to start with their most pressing needs knowing that they will be able to leverage their skills and investment in future projects to reduce risk, lower costs and achieve faster time to value in meeting the needs of the business. There are multiple “entry-points”, driven by your most pressing needs, that help you start moving down the path for an information-led transformation. (Note: describe this slide from the bottom-up ) When you think about an information-led transformation, you need to ensure that your infrastructure and systems are optimized to handle the various workloads that are demanded of it. Especially today when you are faced with a glut of new information, you need to ensure that relevant information is available, that it is secure and that you are able to retrieve it in a timely manner not only for analytical, operational and transactional systems, but also for regulatory compliance. That is why IBM Software Group and our Systems & Technology Group are working together to provide optimized solutions focused on delivering greater business value to our customers, faster, for increased return on investment. From the new IBM Smart Analytics System, to the new DB2 PureScale for continuous availability, unlimited capacity and application transparency, to the deep integration of System z, IBM has unparalleled expertise in designing and implementing workload optimized systems and services. On top of that infrastructure, there is also the need to ensure that you can bring all of those sources of information together to create a single, trusted view of information from across your business – regardless of whether that information is structured or unstructured – and then manage it over time. From data warehousing, Master Data Management, information integration, and Agile ECM and integrated data management, IBM’s InfoSphere portfolio ensures that organizations will be able to leverage their information over time to drive innovation across their business. And armed with this single-view of your business, you can then look to optimize business processes and drive greater performance across your organization. Decision makers will have the right information, at the right time, in the right context to make better, more informed decisions, and even anticipate new opportunities or counter potential threats more effectively. The Business Analytics and Optimization Platform supports and information-led transformation in that it focuses on establishing well-constructed processes and empowering individuals throughout the organization with pervasive, predictive real-time analytics . From Cognos and the newly acquired SPSS portfolios, organizations can now be more pro-active and predictive in innovating their business.
  • http://www.geodigital.com/ http://www.profsurv.com/magazine/article.aspx?i=70599 Mobile Mapping article http://www.gim-international.com/issues/articles/id1306-Mapping_with_Mobile_Lidar.html http://www.lidarnews.com/PDF/LiDARMagazine_Richardson-PreservingThePast_Vol2No5.pdf http://www.lidarnews.com/content/view/9228/198/ Coordinates and Building Info Mgmt article
  • Transcript

    • 1. Opening videoIBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012sGE01To Infinity and Beyond 2012Big Data Internet Scale UpdateJohn Sing Opening video: http://www.youtube.com/watch?v=CxQHwmhJXX4 © 2012 IBM Corporation
    • 2. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Evaluations are Online! IBMTECHU.COM/NZ sGE0133 © 2012 IBM Corporation
    • 3. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012  31 years of experience with IBM in high end servers, storage, andJohn Sing software – 2009 - Present: IBM Executive Strategy Consultant: IT Strategy and Planning, Enterprise Large Scale Storage, Internet Scale Workloads and Data Center Design, Big Data Analytics, HA/DR/BC – 2002-2008: IBM IT Data Center Strategy, Large Scale Systems, Business Continuity, HA/DR/BC, IBM Storage – 1998-2001: IBM Storage Subsystems Group - Enterprise Storage Server Marketing Manager, Planner for ESS Copy Services (FlashCopy, PPRC, XRC, Metro Mirror, Global Mirror) – 1994-1998: IBM Hong Kong, IBM China Marketing Specialist for High-End Storage – 1989-1994: IBM USA Systems Center Specialist for High-End S/390 processors – 1982-1989: IBM USA Marketing Specialist for S/370, S/390 customers (including VSE and VSE/ESA)  singj@us.ibm.com  IBM colleagues may access my intranet webpage: – http://snjgsa.ibm.com/~singj/  You may follow my daily IT research blog – http://www.delicious.com/atsf_arizona  You may follow me on Slideshare.net: – http://www.slideshare.net/johnsing1  My LinkedIn: – http://www.linkedin.com/in/johnsing5 © 2012 IBM Corporation
    • 4. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Agenda Inter- Disciplinary 1. Exploiting the opportunity: Data, Data, Data!  Real-time Data Factories  Bandwidth created “The Cloud” Inter-disciplinary  Internet Scale Data Center architectures house internet scale data 2. Disruptive Innovation in Today’s IT World  The Non-Traditional Competitor  The mobile Web 3.0 3. Principles, collaboration for a successful IT Future7 © 2012 IBM Corporation
    • 5. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Part 1: Exploiting the Opportunity: Data! Data! Data! 1. Exploiting the Opportunity: Data, Data, Data!  Real-time Data Factories  Bandwidth created “The Cloud”  Internet Scale Data Center Architectures house internet scale data8 © 2012 IBM Corporation
    • 6. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012The nature of workloads is rapidly shifting…. Rapid unstructured data growth Unstructured data workloads = Traditional OLTP, database9 © 2012 IBM Corporation
    • 7. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Humans collecting useful data on massive scale10 © 2012 IBM Corporation Chart in public domain: IEEE Massive File Storage presentation, author: Bill Kramer, NCSA: http://storageconference.org/2010/Presentations/MSST/1.Kramer.pdf
    • 8. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Unmanned Aerial Surveillance (UAS) http://www.hawkeyeuav.com/ , http://www.gatewing.com/ , http://www.sensefly.com/ http://www.aeryon.com/products.html http://www.leptron.com/corporate/products/11 © 2012 IBM Corporation
    • 9. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Light Detection and Ranging (LiDAR) http://www.profsurv.com/magazine/article.aspx?i=70599 http://www.gim-international.com/issues/articles/id1306-Mapping_with_Mobile_Lidar.htmlhttp://www.southernmapping.com/methodology.php http://www.lidarnews.com/PDF/LiDARMagazine_Amadori-UtilityVegetationManagement_Vol2No5.pdf12 © 2012 IBM Corporation http://www.sparpointgroup.com/News/Vol09No37-New-feature-extraction-tool-for-lidar/
    • 10. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012We are building real-time, integrated stream computing on massive scale Inter- Disciplinary n d13 © 2012 IBM Corporation Chart in public domain: IEEE Massive File Storage presentation, author: Bill Kramer, NCSA: http://storageconference.org/2010/Presentations/MSST/1.Kramer.pdf
    • 11. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 IBM Predictive Analytics: Movement in a City•10 minute-ahead volume forecast (blue) vs. actual •10 minute-ahead speed forecast (blue) vs. actual value (black) value (black). Blue line: IBM analytics prediction 10 minutes in advance Black line: actual result14 © 2012 IBM Corporation
    • 12. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012IBM Predictive Analytics Ensuring Public Safety: Let’s play video 1st Memphis Blue CRUSH Map Memphis Blue CRUSH Map http://www.youtube.com/watch?v=_ZyU6po_E74  Blue CRUSH predictive analysis for officer deployment & risk management generated easy-to-read crime maps every four hours  Richmond, VA: Violent crime decreased in the first year by 32%, another 40% thereafter, moving Richmond from #5 on the list of the most dangerous US cities to #9915 © 2012 IBM Corporation
    • 13. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012A new class of data-rich industries is emerging New business models: company’s value based on amount of information stored, exploited Today’s Hyperscale Tomorrow’s Hyperscale Data Companies Data Companies Industries Examples Aerospace 3.5 PB in 2010 Banking Healthcare 1 TB CT scanner → 2.5 PB/Year/Scanner Energy Provider Government Healthcare Claims 20 PB in 2011 Grow 300 TB per month, every month Insurance Processor Manufacturing Media and Entertainment Retail16 © 2012 IBM Corporation
    • 14. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 McKinsey Global Report on Big Data – May 2011 Number of Big Data scientists and mgrs needed in USA http://www.mckinsey.com/mgi/publications/big_data/index.asp17 © 2012 IBM Corporation
    • 15. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Will Big Data Change the Way We Compete? Already Has! Healthcare Ease of Finance capture Information Value18 http://www.mckinsey.com/Insights/MGI/Research/Technology_and_Innovation/Big_data_The_next_frontier_for_innovation © 2012 IBM Corporation
    • 16. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 The Big Data opportunity is huge 2015: # networked devices 2x 9000 global population 8000 100Global Data Volume in Exabytes 7000 90 Total # social media accounts > Aggregate Uncertainty % 80 6000 70 global population. s) 5000 of r s in g rn nso 60 Th e 4000 S 50 et te (In 3000 40 ia ) M ed d text 2000 30 i a l an S ,oc audio 20 eo P 1000 (vid VoI 10 0 Enterprise Data Multiple sources: IDC,Cisco 2005 2010 2015 19 © 2012 IBM Corporation
    • 17. sGE01 Inter-IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 DisciplinaryWorldwide, Broadband Internet Speeds are Zooming http://gigaom.com/broadband/worldwide-broadband-demand-speeds-are-zooming/20 © 2012 IBM Corporation
    • 18. State Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012IBM STG of worldwide Internet: sGE01average Internet user connection speed End user average connection speedhttp://www.akamai.com/stateoftheinternet/ End user average connection speed21 © 2012 IBM Corporation
    • 19. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Growth of The Cloud by 2016  Mobile  Geo-locational  Real-time data  Shift to cloud mega-data centersSource: http://www.datacenterknowledge.com/archives/2012/10/23/cisco-releases-2nd-annual-global-cloud-index/ 22 © 2012 IBM Corporation
    • 20. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 How Big is the World? - 1 Cheaper Network 7.1x Storage 5.7x Admins 7.3x This is significant23 http://wikibon.org/blog/how-big-is-the-world-of-cloud-computing-infographic/ © 2012 IBM Corporation
    • 21. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Bandwidth Availability created “The Cloud”…………  Worldwide bandwidth  Pervasive web services delivery model –(i.e. “The Cloud”)  Data centers with massive amounts: –Processors –Storage –Network24 © 2012 IBM Corporation
    • 22. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Bandwidth and the Cloud…..  Internet-scale centers…..  Data: –10s / 100s petabytes  Servers: –100,000s ….  Workloads: –Require server clusters of 100s, 1000s, 10,000, more …..25 © 2012 IBM Corporation
    • 23. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 201226 http://wikibon.org/blog/wp-content/uploads/2011/10/5-top-data-centers.html © 2012 IBM Corporation
    • 24. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Large Data Centers in past 2 years 10. SUPERNAP, LAS VEGAS, 407,000 SF 9A and 9B. MICROSOFT QUINCY AND SAN ANTONIO DATA CENTERS, 470,000 S27 © 2012 IBM Corporation http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-supernap-microsoft-dft/#supernap http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-supernap-microsoft-dft/#quincy
    • 25. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Container Data Center Architecture 7. PHOENIX ONE, PHOENIX, ARIZ. 538,000 SF Microsoft’s Chicago Container Data Center 5. MICROSOFT CHICAGO DATA CENTER, Chicago 700,000 SF 2. QTS METRO DATA CENTER, ATLANTA, 990,000 SF http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#phoenixone28 http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#chicago http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-ngd-terremark-qts/#qts © 2012 IBM Corporation
    • 26. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 More data centers…. 3. NAP OF THE AMERICAS, MIAMI, 750,000 SF 4. NEXT GENERATION DATA EU 1. 350 EAST CERMAK, CHICAGO,29 © 2012 IBM Corporation
    • 27. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 2012: Other large world data centers Tulip Telecom, India, BangaloreAmadeus, Erding, Germany China to build 6.2 M sq feet data center by 2016 Utah Data Center, US Govt, 1M sq feet30 http://www.datacenterknowledge.com/archives/2012/02/08/tulip-ibm-team-on-huge-data-center-in-india/ http://www.youtube.com/watch?v=-h5RYflgBcM © 2012 IBM Corporation
    • 28. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 That’s Big! Now….. what about the web giants?  i.e. Apple, Facebook, Google, Amazon, etc? http://www.fastcompany.com/magazine/160/tech-wars-2012-amazon-apple-google-facebook31 © 2012 IBM Corporation
    • 29. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Apple Here’s what powers iCloud, see Jobs at WWDC 2011 iCloud announce (YouTube) iCloud Apple Apple Data Center Newark, California Data Center FAQ Rendering of Apples new North Carolina Data Center. Credit: Apple Maiden, Under construction: Prineville, Oregon North Carolina 500K sq ft http://gigaom.com/cloud/apple-launches-icloud-heres-what-powers-it/ http://www.theregister.co.uk/2012/02/21/apple_new_data_center/ http://www.youtube.com/watch?v=IPNZAvX1yEs USD $1Billion http://www.datacenterknowledge.com/archives/2011/05/18/apple-adding-data-center-in-silicon-valley/32 © 2012 IBM Corporation
    • 30. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Facebook Lulea, Sweden - 290K sq ft (27K sq me33 http://www.datacenterknowledge.com/archives/2012/04/20/facebooks-north-carolina-data-center-goes-live/ http://www.wired.com/wiredenterprise/2011/12/facebook-data-center/all/1 © 2012 IBM Corporation https://www.facebook.com/note.php?note_id=469716398919
    • 31. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Amazon Web Services 905 billion objects 450,000 650K servers req/sec EC2 17K core, 240 teraflop cluster 42 nd fastest supercomputer in worldAmazon Web Services 1Q12: 450,000 servers Amazon Perdix Modular Datacenter 34 http://aws.typepad.com/aws/2012/04/amazon-s3-905-billion-objects-and-650000-requestssecond.html http://gigaom.com/cloud/how-big-is-amazon-web-services-bigger-than-a-billion/ © 2012 IBM Corporation
    • 32. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 What is Google? Google is not a search engine Inter- Disciplinary Google is a real-time “Data Factory” ecosystem – Defacto organizer of all human internet data – Worldwide Patterns of Life data – Android ingest / output devices • Motorola Wireless acquired $12B – Supporting businesses and ecosystem roles: • Google+, Play, Shop, Books, Gmail, Docs • Voice recognition The history of search engine http://www.wordstream.com/articles/internet-search-engines-history35 © 2012 IBM Corporation
    • 33. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Google Data Centers in 2008:36 © 2012 IBM Corporation
    • 34. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Google Data Center Photo Gallery http://www.google.com/about/datacenters/gallery/#/37 © 2012 IBM Corporation
    • 35. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Google Data Center CAPEX worldwide Each data center between $200M and $600M  Capital expenditures on datacenters: – 1Q12: USD$ 607M – 2011: USD$ 3.4B – 2010: USD$ 4.0B – 2009: USD$ 809M The Dalles, Oregon38 http://www.datacenterknowledge.com/archives/2012/04/13/google-data-center-spending-recedes-to-607m/ © 2012 IBM Corporation
    • 36. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Traditional IT vs. Internet Scale Workload Data Center Source: Egan Ford, IBM Distinguished Engineer, Budapest xCL01 OpenStack presentation: http://xmission.com/~egan/cloud/ Source: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/39 © 2012 IBM Corporation
    • 37. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Part 2: Disruptive Innovation2. Disruptive Innovation in Today’s IT World  The Non-Traditional Competitor  Big Data, mobile Web 3.040 © 2012 IBM Corporation
    • 38. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 With all this opportunity……. Why is this Disruptive Change flat-lining traditional consumer PC / desktop manufacturers?  PC / laptop stalwarts  Unsuccessful in shift  To mobile Cloud / mobile market value *bigger increases*not azl ai pa Ct ekr a M PC/laptop market value big decreases i i t http://gigaom.com/2012/09/01/hp-dell-and-the-paradox-of-the-disrupted/ 41 © 2012 IBM Corporation
    • 39. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Inter-Observe: how fast mobile internet grows by 2014 Disciplinary By 2014: Mobile will be main way Of connecting to Internet42 http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing-infographic © 2012 IBM Corporation
    • 40. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Disruptive Innovation Clayton Christensen Harvard Business School Definition:  Create new market and value  Eventually disrupts existing  Displaces earlier technology http://en.wikipedia.org/wiki/Disruptive_innovation43 © 2012 IBM Corporation
    • 41. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Disruptive Innovation Clayton Christensen Harvard Business School  Not “advanced technologies”  Inferior yet “good enough”  Novel combinations  Starts low end  Grows up-market – “low end disruption” http://en.wikipedia.org/wiki/Disruptive_innovation44 © 2012 IBM Corporation
    • 42. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Disruptive Innovation  Learn lessons  Watch today’s world Illustrative examples only45 © 2012 IBM Corporation
    • 43. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Disruptive Innovation Clayton Christensen Harvard Business School “Consumerization” Not just technology Delivery models (cloud) Business models Ecosystems http://en.wikipedia.org/wiki/Disruptive_innovation46 © 2012 IBM Corporation
    • 44. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Mobile will affect all business models… Mobile = Geo-locational superfood Real-time analytics http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing-infographic47 © 2012 IBM Corporation
    • 45. sGE01 IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Cloud-scale Data Centers required for: Data SupertransformagicabilityTaxiWiz HousingMapsWeatherbug Source: http://mashable.com/2007/07/11/google-maps-mashups-2/ 48 © 2012 IBM Corporation
    • 46. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012By 2016, how much mobile data? What kind?  2012: – Mobile-connected devices > # people Smartphones 48%  2016: –10 billion mobile devices –(world population: 7.3 B) Web data, video 70% http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white_paper_c11-520862.html49 © 2012 IBM Corporation
    • 47. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Will Big Data, Internet Cloud data centers, mobile-centricbusiness models affect the way we compete? Implement IT? Yes, it will! Let’s see one more video http://www.youtube.com/watch?v=EdSd32nbtoA50 © 2012 IBM Corporation
    • 48. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Disruptive Innovation Clayton Christensen Harvard Business School Inter- Big Data / Cloud on Disciplinary disruptive path Traditional IT still around but…. Newer technologies disrupt all platforms What will the effect be on your business model?51 © 2012 IBM Corporation
    • 49. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 It’s NOT your Traditional competitors you need worry about 2011: 24 million Netflix customers Blockbuster 2002: “Online video not viable” “Niche market” 2010: Blockbuster files for bankruptcy http://hbswk.hbs.edu/item/7007.html52 © 2012 IBM Corporation
    • 50. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 It’s NOT your Traditional competitors you need worry about Illustrative examples only http://www.tatango.com/blog/time-spent-on-mobile-devices-outpaces-newspapers-and-magazines/53 © 2012 IBM Corporation
    • 51. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Today, customers have many non-traditional alternatives  Non-traditional alternatives: Traditional alternatives: – The Cloud, the Developing World  Other platforms  Other vendors What will the effect be on your business model?54 © 2012 IBM Corporation
    • 52. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Compute power =Internet-scale application stack summary visualization layer Data, I/O = Users analytic layer Location of competitive User Interface Layer advantage Reports, Dashboards, Mashups, Search, applications. Does all Ad hoc reporting, Spreadsheets workload balance, authorization redundancy Security Analytic Process Layer Real-time computing and analysis, stream computing, Unstructured data is the entity analytics, data mining, data proximity, content growth workload management, text analytics, etc. Infrastructure layer Virtualization, central end to end management, control, deployment on software, server, storage in a geographically dispersed environment Cloud OS software Servers, storage infrastructure55 © 2012 IBM Corporation
    • 53. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012You want a partner like IBM that IBM SWG, Servicescovers the entire modern inter-discipline IBM SWG,IT stack Users Services IBM Software Group User Interface Layer Reports, Dashboards, Mashups, Search, Big Insights Ad hoc reporting, Spreadsheets InfoStreams authorization Security Analytic Process Layer Real-time computing and analysis, stream computing, IBM Analytics entity analytics, data mining, data proximity, content management, text analytics, etc. Infrastructure layer Virtualization, central end to end management, control, deployment on software, server, storage in a geographically dispersed environment IBM Cloud STG Virtualization STG Servers, Storage infrastructure56 © 2012 IBM Corporation
    • 54. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Part 3: Principles for a successful IT Future Plans Meld / meet / build readiness Use, exploit, thrive57 © 2012 IBM Corporation
    • 55. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Big Positioning picture e gar o s, r evr es/ $ BP, BT, B G : d qer e gar o S t t ’ Traditional Data Big Traditional Data Big IT Warehouse Data, IT Warehouse Data, Internet Internet scale scale58 © 2012 IBM Corporation
    • 56. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Big Positioning picture Current IT architectures Growth areas Current Mobile, Cloud IT architectures e ga o t s. r evr es/ $ Growth areas BP, BT, B G : d qer e gar o S t Mobile, Cloud r ’ Traditional Data Big Traditional Data Big IT Warehouse Data IT Warehouse Data Internet Internet scale scale59 © 2012 IBM Corporation
    • 57. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Current IT Build new, different skill sets architectures Traditional IT workload Current IT architectures e gar o s, r evr es/ $ Highly parallelized internet scale architecture BP, BT, B G : d qer e gar o S t Integrated E2E softwaret centric ’ Traditional Data Big Traditional Data Big IT Warehouse Data IT Warehouse Data Internet Internet scale scale60 © 2012 IBM Corporation
    • 58. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Current ITKey strategy architectures Traditional IT architectures  Continue modernize current traditional IT … Architect new-gen connectors,  Architect future skills expandability e gar o s, r evr es/ $  Connect with Internet scale architectures – New generation mobile-enabled t workloads Traditional Data Big IT Warehouse Data Internet scale http://www.slideshare.net/johnsing1/s-bd03-infinitybeyond2internetscaleworkloadsdatacenterdesignv6speaker61 © 2012 IBM Corporation
    • 59. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012To successfully co-exist / thrive with new generation workloads Views new gen  Understand Big Data / new gen as powerful workload environment partner Traditional IT architectures  Successfully innovate new capabilities  Expand your understanding r evr es/ $ Views Internet scale architectures traditional IT as powerful  Be the change you want your enabler company to be Traditional Data Big IT Warehouse Data Internet scale http://www.slideshare.net/johnsing1/s-bd03-infinitybeyond2internetscaleworkloadsdatacenterdesignv6speaker62 © 2012 IBM Corporation
    • 60. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Apply lessons from today to Traditional IT as best possible Source: Egan Ford, IBM Distinguished Engineer, OpenStack presentation: http://xmission.com/~egan/cloud/ Source: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/63 © 2012 IBM Corporation
    • 61. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Inter-How to get ahead and thrive in this new world? Disciplinary 2012: devote 1st hour of day to keeping current – No longer optional Establish power-knowledge digital footprint, intelligently sharing what you find – Don’t email what you find (too much email already) – Use social networking, social bookmarking, blogs, etc Become a power user of your smartphone’s ecosystem64 © 2012 IBM Corporation
    • 62. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012  My external sources, daily IT research:Feel free – http://delicious.com/atsf_arizonato useme as aresourceJohn Sing’sbookmarks – http://www.linkedin.com/in/johnsing – http://www.slideshare.net/johnsing1  IBM colleagues may also see my IBM Intranet webpage: – http://snjgsa.ibm.com/~singj/ – http://snjgsa.ibm.com/~singj/public/sonas_index.html  singj@us.ibm.com65 © 2012 IBM Corporation
    • 63. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Learning Points Inter- Disciplinary 1. Exploitation of the opportunity: Data, Data, Data!  Is being done in real-time Data Factories on internet scale today  Bandwidth will continue to create “The Cloud”  Understand and study how Internet Scale Data Center architectures house internet scale data Inter-disciplinary 2. Hyper-pace of Disruptive Innovation in Today’s IT World  Beware the Non-Traditional Competitor  The Mobile Web 3.0 is already impacting all business models 3. Invest your 1st hour of every day in being a part of the future  Be the change you want your company to be66 © 2012 IBM Corporation
    • 64. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Inter- Inter-disciplinary Current IT Traditional IT Disciplinary Disruptive Innovation: New gen workloadsGreatest opportunity to thrive r evr es/ $ we have yet seen Internet scale workloads disciplinary Inter- Traditional Data Big IT Warehouse Data Internet Identify inter-disciplinary new scalegeneration big data workloads, business models Big Data Exascale datacenters Applications Cloud  Massive parallelism Know non-traditional competitors well Business Models  E2E automation MobileDevelop / implement to meld, meet, use, exploit, thrive with new reality67 © 2012 IBM Corporation
    • 65. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Together, let’s build a Smarter Planet68 © 2012 IBM Corporation
    • 66. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Recommend you download, read,this very informative IBM book  “Understanding Big Data” – Published April 2012 – Free download – Well worth reading to understand components of Big Data, and how to exploit  Part 1: The Big Deal about Big Data – Chapter 1 – What is Big Data? Hint: You’re a Part of it Every Day – Chapter 2 – Why Big Data is Important – Chapter 3 – Why IBM for Big Data  Part II: Big Data: From the Technology Perspective – Chapter 4 - All About Hadoop: The Big Data Lingo Chapter – Chapter 5 – IBM InfoSphere Big Insights – Analytics for “At Rest” Big Data – Chapter 6 – IBM InfoSphere Streams – Analytics for “In Motion” Big Data Download your free copy here http://public.dhe.ibm.com/common/ssi/ecm/en/iml14297usen/IML14297USEN.PDF69 © 2012 IBM Corporation
    • 67. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Applying the lessons from Internet-scale Cloud Computing to the Traditional data center70 © 2012 IBM Corporation
    • 68. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Cloud Value Proposition and Positioning Traditional ITSource: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/71 © 2012 IBM Corporation
    • 69. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012How You (Provider) Build These Clouds Source: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/72 © 2012 IBM Corporation
    • 70. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 What You (Consumer) Get with These Clouds:Source: http://it20.info/2012/02/the-cloud-magic-rectangle-tm/73 © 2012 IBM Corporation
    • 71. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Policy-based Clouds and Design-for-fail Clouds are purposeoptimized Infrastructure Management solutions  Policy-based Clouds  Design-for-fail Clouds• Purpose optimized for longer-lived virtual • Purpose optimized for shorter-term virtual machines managed by Server machines managed via end-user or Administrator automated process• Centralizes enterprise server virtualization • Decentralized control, embraces eventual administration tasks consistency, focus on making “good enough” decisions• High degree of flexibility designed to accommodate virtualization all workloads • High degree of standardization• Significant focus on managing availability • Significant focus on ensuring availability of and QoS for long-lived workloads with level control plane of isolation • Characteristics driven by software• Characteristics derived from exploiting • New applications enterprise class hardware• Legacy applications74 © 2012 IBM Corporation
    • 72. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Internet-scale warehouse-level cloud data center What’s biggest cost-savings element?75 © 2012 IBM Corporation
    • 73. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Internet Scale data center power components…76 Image courtesy of DLB Associates: D. Dyer, “Current trends/challenges in datacenter thermal management—a facilities perspective,”presentation at ITHERM, San Diego, CA, June 1, 2006. © 2012 IBM Corporation “The Data Center as a Computer: Introduction to Warehouse Scale Computing”, figure 4-1, p.40 Barroso, Holzle http://www.morganclaypool.com/doi/pdf/10.2200/S00193ED1V01Y200905CAC006
    • 74. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Physical cooling, Breakdown of data center UPS dominates the energy overheads electrical power cost UPS alone is 18% of construction cost Chiller alone is 33% of the cost Image courtesy of ASHRAE “The Data Center as a Computer: Introduction to Warehouse Scale Computing”, figure 5-2, p.49 Barroso, Holzle http://www.morganclaypool.com/doi/pdf/10.2200/S00193ED1V01Y200905CAC00677 © 2012 IBM Corporation
    • 75. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 construction cost of Internet Scale Data Center is Power / Cooling ? Reducing power profile reduces construction cost Facebook’s North Carolina Data Center Goes Live Facebook – Prinville , Oregon Has spent $1B on it’s data centers Facebook: Lulea, Sweden - 29 Open Compute Project78 © 2012 IBM Corporation
    • 76. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Google claims its data centers use Industry average PUE is about 1.850% less energy than competitors  Power Usage Effectiveness – PUE=1.14 means power overhead is only 14% – Industry average is around 1.8 http://venturebeat.com/2012/03/26/google-data-centers-use-less-energy/ http://www.datacenterknowledge.com/archives/2011/05/10/uptime-institute-the-average-pue-is-1-8/79 © 2012 IBM Corporation
    • 77. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Modular Data Center Value isn’t just time to delivery / flexibility It’s also Higher Power density = lower construction cost http://www.youtube.com/watch?v=zRwPSFpLX8I80 © 2012 IBM Corporation
    • 78. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 That’s why you see such a big modern push on Container Data Centers: 7. PHOENIX ONE, PHOENIX, ARIZ. 538,000 SF Microsoft’s Chicago Container Data Center 5. MICROSOFT CHICAGO DATA CENTER, Chicago 700,000 SF 2. QTS METRO DATA CENTER, ATLANTA, 990,000 SF81 © 2012 IBM Corporation
    • 79. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012State of the Modular Data Center Mismatch between rapid workload churn vs. 10+ year data center lifespan = modular data center characteristics strategic possibilities for new build data centers Cyrus One 1 million sq ft “Massively Modular” data center under construction in Phoenix, Arizona I/O Modular Data Center Assembly line http://www.datacenterknowledge.com/archives/2012/02/06/the-state-of-the-modular-data-center/ http://www.datacenterknowledge.com/archives/2012/05/17/cyrusone-going-massively-modular-in-phoenix/ http://www.datacenterknowledge.com/archives/2012/01/30/inside-ios-modular-data-center-assembly-line/82 © 2012 IBM Corporation
    • 80. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012IBM internet-scale modern application stack: User interface Users User Interface Layer Reports, Dashboards, Mashups, Search, Ad hoc reporting, Spreadsheets authorization Security Analytic Process Layer Real-time computing and analysis, stream computing, entity analytics, data mining, data proximity, content management, text analytics, etc. Infrastructure layer Virtualization, central end to end management, control, deployment on software, server, storage in a geographically dispersed environment83 © 2012 IBM Corporation
    • 81. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Analytics layer Users User Interface Layer Reports, Dashboards, Mashups, Search, Ad hoc reporting, Spreadsheets authorization Analytics Security Analytic Process Layer Real-time computing and analysis, stream computing, entity analytics, data mining, data proximity, content management, text analytics, etc. Infrastructure layer Virtualization, central end to end management, control, deployment on software, server, storage in a geographically dispersed environment84 © 2012 IBM Corporation
    • 82. sGE01 IBM AnalyticsIBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012IBM Analytics layer Big Data Accelerators Users Text Statistics Financial Geospatial Image/Video Mining Times Series Mathematical User Interface Layer Reports, Dashboards, Mashups, Search, Applications Ad hoc reporting, Spreadsheets authorization Big Data Enterprise Engines Security Analytic Process Layer Real-time computing and analysis, stream computing, entity analytics, data mining, data proximity, content InfoSphere Streams InfoSphere BigInsights management, text analytics, etc. Productivity Tools and Optimization Infrastructure layer Workload Management and Consumability and Management Optimization Tools Virtualization, central end to end management, control, deployment on software, server, storage in a geographically dispersed environment Open Source Foundation Components85 © 2012 IBM Corporation
    • 83. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 IBM Big Data Reference Architecture IBM Big Data Client and Partner Marketing Solutions Solutions IBM Unica Big Data Accelerators Content Analytics ECM Text Statistics Financial Geospatial Acoustic Image/Video Mining Times Series Mathematical Business Analytics Cognos & SPSS Connectors Applications Blueprints Warehouse InforSphere Information Server Appliance Big Data Enterprise Engines IBM Netezza Master Data Management InfoSphere MDM InfoSphere Streams InfoSphere BigInsights Data Warehouse InfoSphere Productivity Tools and Optimization Warehouse Workload Management Consumability and and Optimization Management Tools Database DB2 Open Source Foundation Components Data Growth Management Eclipse Oozie Hadoop HBase Pig Lucene Jaql InfoSphere Optim 8686 © 2012 IBM Corporation
    • 84. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012IBM’s Cloud Service Reference Architecture Cloud Service Provider Cloud Services Common Cloud Management Platform (CCMP) Business-Process- as-a-Service Partner Capabilities Cloud Service Integration Tools Software-as-a-Service Operational Business Service Support Support Creation Services Services Tools (OSS) (BSS) Platform-as-a-Service Consumer In-house IT Infrastructure-as-a-Service Infrastructure Security, Resiliency & Performance Governance Getting Cloud Right -- IBM Reference Architecture Whitepaper Open Group Document87 © 2012 IBM Corporation
    • 85. Management Architecture sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Cloud Service Cloud Service Provider Cloud Service Consumer Creator Cloud Services Common Cloud Service Business Service Management Platform Manager Manager Component Developer Consumer End OSS – Operational Support BSS – Business Support user Existing & 3rd party Services Services BM I m I P A BPaaS Pg services, Service nt Composer a e Partner Customer Service Service s c r f t Service Delivery Catalog Cloud Service Account Offering Offering Integration Ecosystems Management Catalog Management Tools I A & a P t n m p o l D c i v r e S Service Automation Management I P A & l a t r o P r e m u s n o C e c i v r e S Contracts & Service Offering Order Agreement Request Manager Service Management I P A Management Management Integrator SaaS Service Change & Image a e n Request Configuration Lifecycle s c r f t I m M w S Management Management Management g e a o Service Creation r t f Subscription Entitlement Consumer Pricing Business Incident & IT Service Management Management Tools Manager Provisioning Problem Level Management Management Service Management I P A Consumer In- PaaS Monitoring & IT Asset & Capacity & Metering Rating Billing Development Event License Performance Tools a e n s c r house IT f t I M m P Management Management Management g o a r f t l Business Processes Service Runtime Clearing & Accounts Accounts t m g n a M c i v r e S Platform & Virtualization Management Settlement Payable Receivable Development Applications Tools I P A IaaS Software Middleware Service Provider Portal & API Development e u a n c s m M r Tools t f I a e n g s c r f I t Infrastructure Deployment Transition Operations Security & Customer Architect Manager Manager Risk Manager Care Image Creation Tools Consumer Administrator Inf rastructure Security, Resiliency, Performance & Consumability Governance88 © 2012 IBM Corporation
    • 86. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012 Acknowledgements, disclaimers and trademarksAdobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other countries. ITInfrastructure Library is a registered trademark of the Central Computer and Telecommunications Agency which is now part of the Office of Government Commerce. Intel, Intel logo, IntelInside, Intel Inside logo, Intel Centrino, Intel Centrino logo, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or itssubsidiaries in the United States and other countries. Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. Microsoft, Windows, Windows NT, andthe Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. ITIL is a registered trademark, and a registered community trademark of the Officeof Government Commerce, and is registered in the U.S. Patent and Trademark Office. UNIX is a registered trademark of The Open Group in the United States and other countries. Javaand all Java-based trademarks and logos are trademarks or registered trademarks of Oracle and/or its affiliates. Cell Broadband Engine is a trademark of Sony Computer Entertainment,Inc. in the United States, other countries, or both and is used under license therefrom. Linear Tape-Open, LTO, the LTO Logo, Ultrium, and the Ultrium logo are trademarks of HP, IBMCorp. and Quantum in the U.S. and other countries.Other product and service names might be trademarks of IBM or other companies. Information is provided "AS IS" without warranty of any kind.The customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs andperformance characteristics may vary by customer.Information concerning non-IBM products was obtained from a supplier of these products, published announcement material, or other publicly available sources and does not constitute anendorsement of such products by IBM. Sources for non-IBM list prices and performance numbers are taken from publicly available information, including vendor announcements andvendor worldwide homepages. IBM has not tested these products and cannot confirm the accuracy of performance, capability, or any other claims related to non-IBM products. Questionson the capability of non-IBM products should be addressed to the supplier of those products.All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.Some information addresses anticipated future capabilities. Such information is not intended as a definitive statement of a commitment to specific levels of performance, function or deliveryschedules with respect to any future products. Such commitments are only made in IBM product announcements. The information is presented here to communicate IBMs currentinvestment and development activities as a good faith effort to help with our customers future planning.Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experiencewill vary depending upon considerations such as the amount of multiprogramming in the users job stream, the I/O configuration, the storage configuration, and the workload processed.Therefore, no assurance can be given that an individual user will achieve throughput or performance improvements equivalent to the ratios stated here.Prices are suggested U.S. list prices and are subject to change without notice. Starting price may not include a hard drive, operating system or other features. Contact your IBMrepresentative or Business Partner for the most current pricing in your geography.Photographs shown may be engineering prototypes. Changes may be incorporated in production models.© IBM Corporation 2012. All rights reserved.References in this document to IBM products or services do not imply that IBM intends to make them available in every country.Trademarks of International Business Machines Corporation in the United States, other countries, or both can be found on theWorld Wide Web at http://www.ibm.com/legal/copytrade.shtml.89 © 2012 IBM Corporation
    • 87. sGE01IBM STG Asia Pacific Technical Symposia – Auckland | New Zealand | November 2012Light Detection and Ranging (LiDAR)90 © 2012 IBM Corporation

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