3. 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

4. • 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

6. Users
Domain for
Developers or
Implementers
Cloud Applications

7. 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 ?

8. 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

12. 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

14. Mobile device + mobile OS + Browser +
Storage + Server + App + Development
Environment + Cloud platform
… Dependent upon the TARGET application
Boundary getting not clear

16. For leverage mobile devices
into cloud computing

17. Geo metadata searching
Image Processing
Corner Point detection

22. 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 !

24. 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

25. 37 34 56 N, 127 0 35E