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On Cloud Computing: The Dominance and Governance on The Computing Landscape

On Cloud Computing: The Dominance and Governance on The Computing Landscape. By Shang-Sheng Jeng March 22 2010. Baseline Consideration:. A New Dimension: Cyberspace A New Identity: Cybog A New Relationship and Asset. Baseline Consideration:. Information  Intelligence  Instruction

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On Cloud Computing: The Dominance and Governance on The Computing Landscape

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  1. On Cloud Computing: The Dominance and Governance on The Computing Landscape By Shang-Sheng Jeng March 22 2010

  2. Baseline Consideration: • A New Dimension: Cyberspace • A New Identity: Cybog • A New Relationship and Asset

  3. Baseline Consideration: • Information  Intelligence  Instruction • This is a Competitive World • From Profitability to Survivability • Computing Paradigm Shift • The Next Thirty Years of World

  4. “The first priority object to destroy for tanks is not the enemy but the anti-tank weapons.” “The will to survival”

  5. Presentation Objectives: • Offensive: • To Manipulate the “Cloud Computing” Landscape • Opportunity & Capability • To Balance the “Cloud Computing” Competition • IBM (Oracle+Sun), Google (MS+Yahoo) • To Dominate the Government Cloud in Taiwan and China • To Lead the Reform of “Software Industry”

  6. Presentation Objectives: • Defensive: • Make Taiwan’s Computer Industry survive in Computing Paradigm Shift • Take the financial and technological benefit for Taiwan’s Cloud Computing Users (Institutional or Personal) • Minimize the lost of Taiwan’s software industry • Find a Way to Keep Taiwan’s Software Industry Survive

  7. Content • 1. Origins • 2. Players • 3. Trends • 4. Response

  8. 1. Origins • 1.1 Industry Restructuring • 1.2 Technology Maturity • 1.3 Issue, Innovation and Competition

  9. 1.1 Industry Restructuring (old, vertical) • Network CISCO • Server Sun Micro, HP • DB Oracle • Services IBM • Business SAP

  10. 1.1 Industry Restructuring (now, integration) • Market Overlapping • Market Saturation • Requirement Dynamics and Technology Complexity pushed Outsourcing (for users) and M&A (for suppliers)

  11. 1.2 Technology Maturity • Producer • Processing • Communication • Storage • Consumer • Web based Services • Architecture • Clustering, Grid, Data Center

  12. 1.3 Issue, Innovation, and Competition • Open Source Movement • Software as a Service  Hardware, Infrastructure, Platform, as a Service • Web 2.0 Push • Concept of Utility Computing (Nicholas Carr, “IT doesn’t Matter”, “Big Switch”)

  13. 1.3 Issue, Innovation, and Competition • Data as Asset Biz Model • Prosumer (producer as consumer and vice versa) Biz Model • SOA & Event-driven Computing (C4KISR, SOA-R, Cloud Computing) • Functional Cloud Integrated Service (example: Chiang’s memorial pages)

  14. Web 2.0 Push • The Characteristics of Web 2.0 • Virtual Disk Xdriver, iDisk • Note BuzzWord • Blogger WordPress • FeedReader Rojo, Bloglines • Photo Flickr, Photobucket • Video YouTube, Joost

  15. Web 2.0 Push • eMail gmail. Hotmail • iPhone skype • Social network MySpace, Facebook • Virtual ID Second Life, World of Warcraft

  16. 2. Player • 2.1 Type 1 Service: Serve to Government and Large Institutions • 2.2 Type 2 Service: Serve to Mass Individual User, and Small Business • 2.3 Type 3 Service: Serve for Special Purpose

  17. 2.1 Type 1 Player Oriented • IBM* (Key Player) • Oracle • EMC • HP • SAP

  18. IBM • Outsourcing Service: Applications Outsourcing, Business Process Outsourcing, IT Outsourcing and Hosting • Service Science • Mainframe Computer and Services Integrated Datacenter (GIE)

  19. IBM Blue Cloud • Almaden Research Center: • Xen, PowerVM, Linux, Hadoop File System (Open Source) • Tivoli, DB2, WebSphere, x86 Blade (Cash Cow)

  20. Services Sciences • Customer Insights • Social Analytics • Services Software Engineering • Systems Management and Service Management • Social Simulation

  21. Service Science • Service Science, Management, and Engineering • IBM System Journal, Volume 47, Number 1, 2008

  22. IBM Penetration • IBM Software Available Pay-As-You-Go on EC2 • Monday, February 23, 2009

  23. Oracle • Oracle Business OnLine • Siebel • Sun Micro: Java, Virtual On-demand Data Center, Blackbox

  24. EMC • VMware, Pi, Smarts, Berkeley Data Systems, Mozy

  25. 2.2 Type 2 Player Oriented • Amazon • Google* (Key Player) • Salesforce • Microsoft • Yahoo

  26. Amazon • Redundant Resources • Services as a control tool • Amazon Web Services (AWS): Simple Storage Service (S3), Elastic Compute Cloud (EC2), Simple Queuing Service, SimpleDB

  27. Google • Enterprise Cloud and Consumer Cloud • Google App Engine • Google File System, Map/Reduce, Chubby, BigTable。

  28. Salesforce • Software as a Service, Platform as a Service • AppExchange: Customer Relationship Management (CRM), Enterprise Content Management (ECM) • First excess 100M company of only cloud type services

  29. Microsoft • Dynamics CRM Online, Exchange Online, Office Communications Online • Windows Live, Office Live, Xbox Live

  30. Yahoo • Hadoop Core (Open Source): a subproject of Apache

  31. 2.3 Type 3 Player Oriented • Trend Micro • Panda Cloud Antivirus • PRC

  32. Trend Micro • Security Cloud • Smart Protection Network, In-the-Cloud service

  33. Panda Cloud Antivirus • Light, Secure, Ease • CloudAntivirus.exe (19,014,048 byte, May 10 2009) it need to uninstall Norton 360.

  34. 3. Trends • 3.1 What is Cloud Computing • 3.2 For Type 1 Oriented Cloud Computing • 3.3 For Type 2 Oriented Cloud Computing • 3.4 For Type 3 Oriented Cloud Computing • 3.5 McKinsey’s Recent Findings (April 2009) • 3.6 Forrester’s Opinions (April 13 2009) • 3.7 US Government IT Spending

  35. Trends • 3.8 The US Cyber Challenge

  36. 3.1 What is Cloud Computing • Defined by • Reliable, Adaptable, Distributed Systems Lab, UC Berkeley (RAID, RISC) (sponsor: Sun, Google, Microsoft) • NIST • Open Cloud Manifesto

  37. What is Cloud Computing? A Berkeley View of Cloud Computing (Feb 2009) • Old idea: Software as a Service (SaaS) • Def: delivering applications over the Internet • Recently: “[Hardware, Infrastrucuture, Platform] as a service” • Poorly defined so we avoid all “X as a service”

  38. What is Cloud Computing? (Berkeley) • Utility Computing: pay-as-you-go computing • Illusion of infinite resources • No up-front cost • Fine-grained billing (e.g. hourly)

  39. Spectrum of Clouds (Berkeley) Lower-level, Less management Higher-level, More management EC2 Azure AppEngine Force.com 39 • Instruction Set VM (Amazon EC2, 3Tera) • Bytecode VM (Microsoft Azure) • Framework VM • Google AppEngine, Force.com

  40. A Working Definition of Cloud Computing (NIST) • Cloud computing is a pay-per-use model for enabling convenient, on-demand network access to a shared pool of configurable and reliable computing resources (e.g., networks, servers, storage, applications, services) that can be rapidly provisioned and released with minimal consumer management effort or service provider interaction.

  41. A Working Definition of Cloud Computing (NIST) • The cloud model is comprised of five key characteristics, three delivery models, and four deployment models.

  42. 5 Key Cloud Characteristics • On-demand self-service • Ubiquitous network access • Resource pooling • Rapid elasticity • Pay per use

  43. 3 Cloud Delivery Models • Cloud Software as a Service (SaaS) • –Use provider’s applications over a network • Cloud Platform as a Service (PaaS) • Deploy customer-created applications to a cloud • Cloud Infrastructure as a Service (IaaS) • Rent processing, storage, network capacity, and other fundamental computing resources

  44. 3 Cloud Delivery Models • To be considered “cloud” they must be deployed on top of cloud infrastructure that enables the key characteristics

  45. 4 Cloud Deployment Models • Private cloud • enterprise owned or leased • Community cloud • shared infrastructure for specific community • Public cloud • Sold to the public, mega-scale infrastructure • Hybrid cloud • composition of two or more clouds

  46. 4 Cloud Deployment Models • Two types: internal and external (my opinion)

  47. Common Cloud Characteristics (NIST) • Cloud computing often leverages: • Massive scale • Virtualization • Free software • Autonomic computing • Multi-tenancy • Geographically distributed systems • Advanced security technologies

  48. What is Cloud ComputingThe Open Cloud Manifesto • The key characteristics of the cloud are the ability to scale and provision computing power dynamically in a cost efficient way and the ability of the consumer (end user, organization or IT staff) to make the most of that power without having to manage the underlying complexity of the technology. The cloud architecture itself can be private (hosted within an organization’s firewall) or public (hosted on the Internet).

  49. The Goals of an Open Cloud • Choice • Flexibility • Speed and Agility • Skills

  50. Choice (anti-lock-in) • As an organization chooses a provider or architecture or usage model, an open cloud will make it easy for them to use a different provider or architecture as the business 5 environment changes. If the organization needs to change providers because of new partnerships, acquisition, customer requests or government regulations, they can do so easily. If the organization deploys a private cloud, they can choose between providers as they extend their capacity and/or functional capabilities. Resources that would have been spent on a difficult migration can instead be spent on innovation.

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