Information Technology Reference
In-Depth Information
TABLE 13.3
Comparison of Cloud Delivery Models
Service Type
IaaS
PaaS
SaaS
Service category
VM rental; online
storage
Online operating
environment, online
database, online
message queue
Application and
software rental
Service
customization
Server template
Logic resource
template
Application
template
Service
provisioning
Automation
Automation
Automation
Service accessing
and using
Remote console,
Web 2.0
Online development
and debugging,
integration of offline
development tools
and cloud
Web 2.0
Service monitoring
Physical resource
monitoring
Logic resource
monitoring
Application
monitoring
Service level
management
Dynamic orchestration
of physical resources
Dynamic
orchestration of
logic resources
Dynamic
orchestration of
application
Service resource
optimization
Network
virtualization, server
visualization, storage
visualization
Large-scale
distributed file
system. Database,
middleware, etc.
Multitenancy
Service
measurement
Physical resource
metering
Logic resource usage
metering
Business resource
usage metering
Service integration
and combination
Load balance
SOA
SOA, mashup
Service security
Storage encryption
and isolation, VM
isolation, VLAN;
SSL/SSH
Data isolation,
operating
environment
isolation, SSL
Data isolation,
operating
environment
isolation, SSL; Web
authentication and
authorization
13.4.3 Hybrid Clouds
Hybrid clouds are formed when more than one type of cloud infrastructure
is utilized for a particular situation. For instance, an organization may utilize
a public cloud for some aspect of its business, yet also have a private cloud
on premise for data that is sensitive. As organizations start to exploit cloud
service models, it is increasingly likely that a hybrid model is adopted as the
specific characteristics of each of the different service models are harnessed.
The key enabler here is the open standards by which data and applications
are implemented, since if portability does not exist, then vendor lock-in to a
particular cloud computing provider becomes likely. Lack of data and appli-
cation portability has been a major hindrance for the widespread uptake of
 
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