This document provides an overview of cloud computing, including its definition, history, service models (SaaS, PaaS, IaaS), and deployment models (private, public, hybrid). It discusses the engineering life cycle of cloud services, cloud migration, and benefits such as disaster recovery and rapid deployment. Additionally, it highlights key players in the industry and emphasizes the importance of planning and tool support for successful implementation.

1. CLOUD COMPUTING
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2. Outline
• Definition of Cloud Computing
• History and origins of Cloud Computing
• Cloud Computing services and model
• cloud service engineering life cycle
• TEST AND DEVELOPMENT PLATFORM
• Cloud migration
• Concluding Remarks

3. Do you Use the Cloud?
Have you used the cloud computing
For these services

4. Definition of Cloud Computing
Computing and software resources that are delivered on
demand, as service.
(2013, January) A Walk in the Clouds. Cloud Computing, CDW-G Reference Guide., 3-5.
The cloud is actually a bunch of computer servers that store
and transmit data These servers are very large and can hold
massive amounts of data The servers can be housed any
where in the world the user accesses the data by log-in from
any where

6. Cloud Service
Developer
Cloud Service
Consumer
Cloud Service Provider
Cloud Computing Generic Architecture
ServiceDeliveryPortal
BSS
Business
Support
Services
Offering Mgmt
Order Mgmt
Accounting & Billing
Customer Mgmt
Entitlements
Contract Mgmt SLA
Reporting
Pricing / Rating
Peering & Settlement
Subscriber Mgmt
Service Offering
Catalog
Invoicing
OSS
Operational
Support
Services
Service Automation Mgmt
Virtualization Mgmt
Reporting & AnalyticsMetering
ServiceDevelopmentPortal
Common Cloud Platform
Security & Resiliency
Consumer
Administrator
Consumer
Business
Manager
Partner Clouds
Customer
In-house IT
Service Def. &
Developm.. Tools
Image Creation
Tools
Developer
Service Definitions
Software-as-a-Service - e.g. Lotus Live
Cloud
Services
Platform as-as-Service - e.g. Desktop CloudUser
Interface
Service
User
Infrastructure-as-a-Service - e.g. Compute Cloud
Virtualized Infrastructure – Server, Storage, Network
ManagedEnvironmentManagementEnvironment
…
Operational Console
Provisioning
Monitoring & Event Mgmt
Service Delivery Catalog
Configuration Mgmt
Continuity Mgmt,
Backup / Restore Asset Mgmt
Service Request Mgmt
Service Level Mgmt
Image Lifecycle Mgmt
Capacity, Perform. Mgmt
Incident, Problem
& Change Mgmt
Service Provider Portal
Service Business Manager Service Operations Manager
API
API

7. cloud computing Service and Deployment
Models

8.  Software as a Service (Saas)
Platforms as a Service (Paas)
Infrastructure as a Service (Iaas)
Cloud service model

9. What is Software as a Service? (SaaS)
• SaaS is a software delivery methodology
that provides licensed multi-tenant access
to software and its functions remotely as a
Web-based service.

10. Infrastructure as a Service (IaaS)
• IaaS is the delivery of technology
infrastructure on demand scalable service

11. Platform as a Service (PaaS)
• PaaS provides all of the facilities required
to support the complete life cycle of
building and delivering web applications
and services entirely from the Internet.

12. Cloud Deployment Models

13. Private cloud : is cloud infrastructure operated solely for a
single organization, whether managed internally or
externally . these service use storage capacity and processor
power that is not owned by the organization or business .
Public cloud : is a style of computing where scalable and elastic
IT-enabled capabilities are provided as a service to external
customers using Internet technologies—i.e., public cloud
computing uses cloud computing technologies to support
customers that are external to the provider’s organization
Cloud Deployment Models

14. Private cloud + Public cloud = HYBRID CLOUD
Hybrid cloud :
Hybrid cloud is a composition of two or more clouds
(private, community or public) that remain distinct
entities but are bound together, offering the benefits of
multiple deployment models. Hybrid cloud can also
mean the ability to connect collocation, managed and
dedicated services with cloud resources

15. Current Leaders
Key Players in Cloud Computing Platforms
Company Cloud Computing
Platform
Year of
Launch
Key Offering
Amazon.com AWS (Amazon Web
Services)
2006 Infrastructure as a service (Storage
Computing), Datasets and Content
Distribution
Microsoft Azure 2009 Application platform as a service (.Net,
SQL data services )
Google Google App. Engine 2008 Web Application Platform as Service
IBM
Salesforce.com
Blue Cloud Force.com 2008 Proprietary 4GL Web application as an
demand platform

16. Service Delivery Model Examples
SaaS
PaaS
IaaS
Amazon Google Microsoft Salesforce

17. Software engineering vs. cloud service
engineering life cycle
The aim of Software Development Life Cycle (SDLC) is to enable a smoother
transition from one phase to another in order to complete a software
project within a timeframe and a budget

18. Cloud Strategy work
Implement Cloud
Servers Storage
Network
Infrastructure
Platform &
Applications
Email
Bus
Apps
BPM
Sys
Mgmt
Info
Mgmt
Web
Svr
Assess Workload
E-Mail,
Collaboration
Software
Development
Test & Pre-
Production
Data
Intensive
Processing
Database ERP
Determine Cloud
Delivery Model
Enterprise
Private Public
Hybrid
Trad
IT
Create IT Roadmap
Capital
Private
Cloud
Hybrid
Cloud
Trad
IT
Rent
Financial
Workload
CustomStandard
Establish Architecture
Service
Definition
Tools
Service
Publishing
Tools
Service
Fulfillment &
Config Tools
Service
Reporting &
Analytics
Service
Planning
Role
Based
Access
OSS
BSS
Infrastructure
Platform
Software
End
Users,
Operators
Service
Catalog
Operational
Console
Cloud
Services
Cloud Platform
Define Business Value

19. Enterprise Cloud Solutions
1. Hybrid Cloud
– Scalability of the Public Cloud with the control and security of a
private cloud
2. Disaster Recovery
– Keep images of your servers on cloud infrastructure ready to go in
case of a disaster
3. Cloud File Storage
– Backup or Archive your company data to cloud file storage
4. Load Balancing
– Use cloud infrastructure for overflow management during peak usage
times

20. Enterprise Cloud Solutions (cont)
5 . Overhead Control
– Lower overhead costs and make your bids more
competitive
6 . Distributed Network Control and Cost Reporting
– Create an individual private networks for each of
your subsidiaries or contracts
7 . Rapid Deployment
– Turn up servers immediately to fulfill project
timelines
8 - T E S T / D E V E L O P M E N T P L AT F O R M
Use Cloud Infrastructure Servers As Your Test
And Development Platform

21. CLOUD COMPUTING
TEST AND
DEVELOPMENT
PLATFORM

26. Examples : Oracle Testing as a Service

27. Oracle Testing as a Service
Automatec the testing process

28. CLOUD MIGRATION
Cloud migration is the process of moving data,
applications or other business elements
from an organization's onsite computers to
the cloud, or moving them from one cloud
environment to another.

30. Concluding Remarks 1
• Cloud computing stimulates new research directions for new
and novel ways of developing software & services
• Proper planning and migration services are needed to ensure
a successful implementation
• Public and Private Clouds can be deployed together to
leverage the best of both

31. Concluding Remarks 2
• Testing as a Service (TaaS) has a huge potential for
Software Engineering in general and GSE in particular
• need for process and tool support for migration and/or
upgrade of applications and tools for cloud computing
model

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