Server
Communication
Network
Data Processing
Information Analysis
Server
Communication Network
Data Processing
Information...
• Manually Provisioned
• Dedicated Hardware
• Fixed Capacity
• Pay for Capacity
• Capital & Operational
Expenses
• Managed...
Users
Domain for
Developers or
Implementers
Cloud Applications
Application
Storage
Service
Server
• Agility – Deploy, deliver, standardized resources in less time
• Scalability – adjust...
The cloud creates more opportunities for entrepreneurs in IT
The focus shifts from building cloud environments to efficien...
Eric Schmidt
Google CEO
2006
“We're moving into the era
of ‘cloud’computing, with
information and
applications hosted in t...
Mobile device + mobile OS + Browser +
Storage + Server + App + Development
Environment + Cloud platform
… Dependent upon t...
For leverage mobile devices
into cloud computing
Geo metadata searching
Image Processing
Corner Point detection
Environments Single Desktop Server
CPU clock 2.4 GHz (AMD Athlon 4600+)
CPU core Dual core
Memory 3.3 GB
Operating System ...
First of all, lots of works to do in this subject
Cloud computing application, Open source,
Mobile cloud, Cloud service mo...
37 34 56 N, 127 0 35E
201306 ICEO-SI Keynote speech by Kiwon LEE
201306 ICEO-SI Keynote speech by Kiwon LEE
201306 ICEO-SI Keynote speech by Kiwon LEE
201306 ICEO-SI Keynote speech by Kiwon LEE
201306 ICEO-SI Keynote speech by Kiwon LEE
201306 ICEO-SI Keynote speech by Kiwon LEE
201306 ICEO-SI Keynote speech by Kiwon LEE
201306 ICEO-SI Keynote speech by Kiwon LEE
201306 ICEO-SI Keynote speech by Kiwon LEE
201306 ICEO-SI Keynote speech by Kiwon LEE
201306 ICEO-SI Keynote speech by Kiwon LEE
201306 ICEO-SI Keynote speech by Kiwon LEE
201306 ICEO-SI Keynote speech by Kiwon LEE
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201306 ICEO-SI Keynote speech by Kiwon LEE

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Transcript of "201306 ICEO-SI Keynote speech by Kiwon LEE"

  1. 1. Server Communication Network Data Processing Information Analysis Server Communication Network Data Processing Information Analysis Cloud computing On-premise computing Thick & Heavy Client Thin & Light Client National Institute of Standards & Technology (NIST): Convenient, on-demand, network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction
  2. 2. • Manually Provisioned • Dedicated Hardware • Fixed Capacity • Pay for Capacity • Capital & Operational Expenses • Managed by System admins • Self-provisioned • Shared Hardware • Elastic Capacity • Pay for Use • Operational Expenses • Managed via APIs 1. Shared / pooled resources 2. Broad network access 3. On-demand self-service 4. Scalable and elastic 5. Metered by use
  3. 3. Users Domain for Developers or Implementers Cloud Applications
  4. 4. Application Storage Service Server • Agility – Deploy, deliver, standardized resources in less time • Scalability – adjust resources on demand variation • Reduced Overhead – personnel / hardware / peak capacity situations • Improved Economies of Scale – multi-tenant model • Resource Pooling – multiple organization business units • On-demand Pricing – shifting fixed costs to variable base • Accessibility – Internet delivery to mobile, office, home • Performance guarantees • Security/Privacy liability • Absence of industry standards • Compliance and audit acceptance • Migration to different cloud hosting providers Well-known Benefits Well-known Shortcomings ?
  5. 5. The cloud creates more opportunities for entrepreneurs in IT The focus shifts from building cloud environments to efficiently running them Private clouds will become increasingly important Increasing importance of the cloud Hybrid clouds will become more important Enterprise IT will take ownership of cloud adoption Enterprises to start catching up to SMBs in cloud spending Enterprises will demand portability between different vendor's clouds Cloud benefits will become more recognizable Contingency planning will increasingly involve the cloud
  6. 6. Eric Schmidt Google CEO 2006 “We're moving into the era of ‘cloud’computing, with information and applications hosted in the diffuse atmosphere of cyberspace …” GRID Computing in Early 1990s Utility Computing in Late 1990s Software-As-A-Service in Early 2000s
  7. 7. Mobile device + mobile OS + Browser + Storage + Server + App + Development Environment + Cloud platform … Dependent upon the TARGET application Boundary getting not clear
  8. 8. For leverage mobile devices into cloud computing
  9. 9. Geo metadata searching Image Processing Corner Point detection
  10. 10. Environments Single Desktop Server CPU clock 2.4 GHz (AMD Athlon 4600+) CPU core Dual core Memory 3.3 GB Operating System Linux Fedora 14 Platform 32-bit Single Server without Cloud Server Hardware Specifications Cloud Service Management Server CPU Intel E6750 (2.66 GHz, Dual core) Memory 4 GB Storage 500 GB CloudStack Instances CPU 1.0 GHz Memory 1 GB Storage 20 GB Server Hardware Specifications AWS EC2 t1.micro Instances CPU One EC2 Compute Unit (ECU) provides the equivalent CPU capacity of a 1.0-1.2 GHz Memory 613 MB Storage 8 GB Public Cloud Private Cloud Single Server without Cloud Public Cloud Public Cloud + Private Cloud 50 % 100 % One Core Server Two Core Servers Five Core Servers Time stamp in CPU Faster !
  11. 11. First of all, lots of works to do in this subject Cloud computing application, Open source, Mobile cloud, Cloud service model, Hybrid cloud building for Geo-based data sets and their derived contents Mobile cloud is new challenging area expanding and widening range of remote sensing technology and application It is transition time from web to mobile It can sprout new business model in education, engineering, and scientific problem solving
  12. 12. 37 34 56 N, 127 0 35E

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